TU Graz
Graz University of Technology

 Posters 15:30 - 17:30 Comparing new testing methods for the sulfate resistance of shotcreteAndre Baldermann, Institute of Applied Geosciences, Graz University of TechnologyAbstract: Modern excavation and tunnelling methods rely on the application of mechanical stabilisers such as shotcrete. Shotcrete frequently encounters chemically aggressive solutions, leading to, amongst others, external sulfate attack. A better understanding of the mechanisms of this type of attack is necessary to better assess the durability of newly developed shotcrete mixes. We compare the performances of 7 dry-mix shotcrete mix designs (using different amounts and types of supplementary cementitious materials) in novel sulfate resistance tests using either powdered samples or drill cores. The chemical and mechanical changes of the sample materials are monitored during the tests, showing the main chemical changes to be the dissolution of hydrated cement phases and the neo-formation of ettringite and calcite. The precipitation of ettringite in turn is responsible for destructive expansion, causing cracks and breaking. We find that certain mix designs perform better than others, forming less ettringite and in turn showing lower expansion. These differences are presumably due to variations in the mix designs such as supplementary cementitious materials used and water/binder ratios. Finding and Understanding Surface Structures with SAMPLEAndreas Jeindl, Institute of Solid State PhysicsAbstract: Even if the physical properties of an organic semiconductor are ever so promising in the bulk phase, they may drastically change upon adsorption on the surface. Specifically, surfaces can induce the formation of polymorphs with worse, or under the right conditions, also greatly improved properties. Normally, the exponential growth of possible polymorphs with system size prohibits rigorous computational studies, that could explore the full configurational and thermodynamic search space. Thus, we use SAMPLE [1,2], which employs machine learning to suitably fit a physical energy model and therewith efficiently calculate the adsorption energies of an exhaustive set of coarse grained polymorphs. We showcase the capabilities of this approach for monolayers of molecules with very different interactions on coinage metals. With SAMPLE we not only find the best polymorphs, but also defects and other local minima. Ab-initio thermodynamics allows us to also consider temperature effects and create phase diagrams. Our unique combination of a physically inspired energy model and statistical learning enables us to gain insight into the molecular interactions on the surface. This allows us to not only tell which polymorph forms, but also which interactions are the reasons for the formation of specific structures. [1] Hörmann et al., arXiv:1811.11702 [2] Scherbela et al., Phys. Rev. Materials 2, 043803 Investigation of welding parameters on geometric evolution in Wire Arc Additive Manufacturing via Cold Metal TransferAnto Zelić, Insitute of Materials Science, Joining and Forming, Graz University of TechnologyAbstract: Wire Arc Additive Manufacturing (WAAM) is an interesting alternative to the well-known and wide spread AM techniques and a powerful technique to build-up bigger near net structures by higher deposition rates. The investigated CMT based WAAM process of the AM structures takes place layer by layer and each stacked layer consist of multiple weld tracks arranged next to each other. In order to meet the geometric requirements of the final AM structure, a comprehensive knowledge of the correlation between welding parameters and the geometric evolution of the weld bead, overlapping distance as well as average growth rate per layer is needed. A range of suitable parameter configurations and its correlation to weld bead geometry were identified and for selected parameter sets overlapping welds with varying axial offset were produced. To measure the geometric evolution and to evaluate a proper offset, a digital microscope was conducted and analyzed. Considering the gained results, for two selected parameter sets 3D AM-structures with pre-defined dimensions were build-up. By applying the increased energy input parameter set, less layers were required to build-up the 3D part, than for the low energy input parameter set. Development of a process flow to enable packaging on wafer levelBarbara Glanzer, Institute of Solid State Physics / Infineon Technologies Austria AGAbstract: In an effort to enhance packaging efficiency (e.g. throughput, effort…) the currently used serial processing steps are aimed to be transferred into parallelized process steps. Based on this motivation, the development of a process flow enabling packaging on wafer level is comprised in this work. The introduction of an electrically insulating glass-substrate as a packaging material requires the adaption and integration of various established unit-processes in combination with the implementation of novel process steps. Apart from demonstrating the product-line fabrication feasibility of such a package, the characterization of device specific electrical parameters as well as diverse metal/metal and metal/glass – interfaces are the focus of this work. Coupling of Dislocations and Point Defects in Continuum MechanicsBenedikt Weger, Institute of Strength of MaterialsAbstract: In dislocation density based crystal plasticity, the intersection events between dislocations moving on different slip systems are usually neglected. At large deformations, this is no longer appropriate. The intersection event may introduce jogs and kinks on both dislocations involved. Depending on the dislocation character (edge or screw), movement of jogs introduces point defects into the crystal lattice. We present a continuum dislocation dynamics theory capable of i) describing the intersection events between dislocations moving on different slip systems and ii) predicting the creation of topologically necessary point defects. Impact of Powder Production Process and Powder Properties on Selective Laser Melting of Ti6Al4VBenjamin MeierAbstract: Besides process parameters powder properties such as grain size, form and chemical composition have the highest impact on material properties of parts produced by selective laser melting. In scope of this work this influence for differently produced Ti6Al4V powders from 3 different providers on density and mechanical properties of build samples has been investigated. Dual Comb SpectroscopyBirgitta Bernhardt, Institute of Experimental Physics & Institute of Materials PhysicsAbstract: Dual Comb Spectroscopy combines high spectral resolution (relative resolution demonstrated up to 10$^-$$^1$$^1$) with broad spectral coverage (>> 10 THz) and short measurement times (down to microseconds). In the recent years, the young spectroscopic method has proven its capabilities in spectroscopy in different spectral regions ranging from the visible across the infrared spectral region into the THz domain. Our recent efforts aim at the extension of the young spectroscopic method towards novel applications in the so far underexplored extreme ultraviolet region, but also towards imaging modalities via Raman spectroscopy and optical coherence tomography. Preliminary study on the AddJoining process over additively-manufactured metallic partsCarlos Belei, IMAT - TU GrazAbstract: The production of a polymer-metal hybrid components completely by additive manufacturing processes would allow great freedom in respect to part geometry, without the need to resort to conventional machining steps. Joining steps could be skipped as well if the polymeric features of such a component were directly assembled over the metallic parts, however rough raw metallic AM surfaces may be. Saving machining and joining times would lead to faster production rates, which is generally of great interest. The present study represents a preliminary attempt to produce polymer-metal hybrid coupons solely by additive manufacturing, avoiding machining and joining steps. Why are charge carrier mobilities in organic semiconductors typically low? Are COFs and MOFs the solution?Christian Winkler, Institute of Solid State PhysicsAbstract: A crucial factor determining charge transport in organic semiconductors is the electronic coupling between the molecular constituents, which is heavily influenced by the relative arrangement of the molecules. To systematically investigate this interplay between transport relevant parameters, energetic stability, and the crystal structure we performed first principles calculations for the instructive example of quinacridone. For this material one finds three polymorphs with fundamentally different packing motifs. Additionally, based on the α-polymorph, an artificial coplanar quinacridone crystal can be constructed. The latter allows correlating electronic properties like transfer integrals t and band-widths with the total energy of the crystal. This way we identify the combination of Pauli repulsion and orbital rehybridization as driving force steering the system towards a structure in which the electronic coupling is minimal, resulting in poor transport properties. The general nature of these observations is supported by equivalent trends for an analogous pentacene model system. Thus, one can conclude that the electronic interaction between neighboring molecules provides a driving force towards structures with low transfer integrals and bandwidths, resulting in reduced transport properties. This also means that the design of high-performance materials cannot rely on the “natural” assembly of the pi-conjugated cores of the semiconducting materials into their most stable configurations. Rather, it must include the incorporation of functional groups that steer crystal packing towards more favorable structures. Freezing certain degrees of freedom by interconnecting the molecular building blocks, i.e. building COFs and MOFs, might also provide a design handle to prevent the materials from adapting structures with low intermolecular electronic couplings and band-widths. Electron Microscopy as an Essential Tool in Electrochemistry: Assessing the Surface Morphology of Al - ElectrodesDavid Moser, Institute of Electron Microscopy and Nanoanalysis (Felmi)Abstract: The aim of this work is to realize a secondary aluminum battery, using metallic aluminum electrodes in combination with a deep eutectic solvent consisting of AlCl3 and urea as electrolyte [1, 2, 3]. Starting with a natively passivated aluminum surface, the formation of undesired growth morphologies was observed during electrochemical discharge/charge cycling. It is suggested, that these flake-like deposits are caused by high local current densities at a limited number of active sites. Extending the period of electrode/electrolyte contact at open circuit potential (stand-by) before subsequent low current cycling, can improve the surface morphology significantly. Surface studies of this proposed activation method revealed that cementation (metal deposition by chemical redox reaction) of electrolyte impurities and wrinkling of the surface takes place during stand-by. It could be shown that the change of the surface morphology and composition is time dependent. Wrinkling could be correlated to chlorine uptake and thickness increase of the oxide layer. Dendritic deposits are unwanted in batteries, because they can cause short circuiting, capacity loss and a decrease in ion mobility [4]. Due to their high surface area, electrodes covered with these morphologies have a low overpotential, which is generally an indicator for good electrochemical performance. This shows that the results of electrochemical measurements can be misleading when encountering passivated surfaces and have to be interpreted alongside morphological studies. [1] Tiemblo et al, ACS Sustainable Chem. Eng. 4 (2016), 2114-2121 [2] Passerini et al, Adv. Mat. 28 35 (2016), 7564-7579 [3] Gao et al, Angew. Chem. 55 (2016), 9898-9901 [4] Chen; et al, Mater. Chem. A 5, (2017), 11671–11681 Integrated contactless temperature-control for Electron Beam Additive ManufacturingDavid Theuermann, Florian Pixner, Norbert Enzinger, Insitute of Materials Science, Joining and Forming, Graz University of TechnologyAbstract: Additive manufacturing is an upcoming and novel technique to meet industry’s requirement of producing near-net shape parts providing full functionality. Special focus is paid in processing titanium alloys, e.g. Ti-6Al-4V, which, due to its excellent relative strength, is widely applied in aerospace industries. In order to guarantee a stable and reproducible production process, an accurate and reliable temperature control of the additive manufactured structures is of interest. Due to its layer-by-layer build-up, conventional contact temperature measurement by means of thermocouples is not suitable and contactless temperature measurement is preferred. The prevailing vacuum atmosphere combined with the extensive heat input of the electron beam result in an evaporation of aluminium during processing Ti-6Al-4V and interfere contactless measurements. In order to get rid of certain influences, and to prevent coating of the pyrometer optics, a protection device providing heat resistant foil transport was designed and implemented. For the 1-color radiation pyrometer an emissivity for the overall system was determined by the means of a benchmark test and comparing the deviation between temperature curves recorded by thermocouples and pyrometer. Furthermore, the system was mounted on the wire feed unit in order to determine the temperature distribution during electron beam additive manufacturing and temperature curves for selected distances to the electron beam centre were recorded. The measured thermal cycles were analyzed and evaluated with respect to the prevailing peak temperatures, and the temperature distribution by reconstruction the resulting isotherms. Auxiliary master equation approach to the pseudogap Anderson model out of equilibriumDelia Fugger, Institute of Theoretical and Computational PhysicsAbstract: The auxiliary master equation approach [1,2] allows us to assess the time evolution and, in particular, the steady state properties of quantum impurities and small molecules in as well as out of equilibrium. It is based on a mapping of the physical system to an auxiliary open quantum system, whose dynamics is determined by a Lindblad master equation that we solve with Matrix Product States techniques. In this poster we present results obtained for the single-impurity Anderson model, which can be used to describe the Kondo effect and Coulomb blockade in quantum dots and nanostructures, in a bath with a power-law pseudogap in the density of states. It is known from the literature [3] that, in equilibrium, this model shows an interesting phase transition from a local moment to a Kondo screened phase, depending on the interplay between the power-law exponent, the hybridization strength and the interaction strength. We compute the spectral function, the self-energy and the differential conductance in the local moment and in the Kondo phase, in as well as out of equilibrium and study the exponents of the first two. In equilibrium we compare our results to the ones obtained within a Fork Tensor-Product States solver [4] and get a very good agreement. Further, we find a scheme to access the critical interaction strength, where the phase transition takes place, by extrapolating results for different interactions. [5] [1] E. Arrigoni, M. Knap, and W. von der Linden, Phys. Rev. Lett. 110, 086403 (2013). [2] A. Dorda, M. Ganahl, H. G. Evertz, W. von der Linden, and E. Arrigoni, Phys. Rev. B 92, 125145 (2015). [3] R. Bulla, M. T. Glossop, D. E. Logan, and T. Pruschke, Journal of Physics: Condensed Matter 12, 4899 (2000). [4] D. Bauernfeind, M. Zingl, R. Triebl, M. Aichhorn, and H. G. Evertz, Phys. Rev. X 7, 031013 (2017). [5] D. M. Fugger, D. Bauernfeind, M. E. Sorantin, and E. Arrigoni (in preparation). Adsorption and desorption of L-cysteine on nanoporous gold monitored by in-situ resistometryElisabeth Hengge, Institute of Materials PhysicsAbstract: Surface modifications of nanoporous metals have become a highly attractive research field as they exhibit great potential for various applications, especially in biotechnology. Using self-assembled monolayers is one of the most promising approaches to modify a gold surface, however, only few techniques are capable of characterizing the formation of these monolayers on porous substrates. Here, we present a method to in-situ monitor the ad- and desorption of self-assembled monolayers on nanoporous gold by resistometry, using cysteine as example. During the adsorption an overall relative change in resistance of 18% is detected which occurs in three different stages. First, the cysteine molecules are adsorbed on the outer surface. In the second stage, they are adsorbed on the internal surface and in the last stage the reordering accompanied by additional adsorption takes place. The successful binding of cysteine on the Au surface was confirmed by cyclic voltammetry, which showed a significant decrease of the double layer capacitance. Also, the electrochemically controlled desorption of cysteine was monitored by concomitant in-situ resistometry. From the desorption peak related to the (111)-surface of the structure, which is associated with a resistance change of 4.8%, an initial surface coverage of 0.48 monolayers of cysteine could be estimated. Thermodynamic Precipitation Kinetic Simulation and Creep Deformation Modelling of Martensitic Steel X20 Based on Microstructural EvolutionEvelin Frank, Institute of Materials Science, Joining and FormingAbstract: Every material is subject to change over a certain period of time. Chemical composition and physical properties alter, and the material performance deteriorates. Lifetime and behaviour of a material strongly depend on influences affecting it, especially temperature and pressure. Over the years, great efforts have been made to predict material behaviour and to develop new, improved materials with better creep resistance and service properties. This work is based on experiments performed on the creep resistant steel X20 used in thermal power plants. It is one of the first modern creep resistant steels developed for this purpose but very widely used so it is still reasonable choice to learn and discover more about this material. Experiments gave an overview on the microstructure, specific precipitate features and the creep curve, which was used as a reference for comparison with the equilibrium calculations and precipitation kinetics simulation using MatCalc software. MatCalc software results on number density and mean diameters of the certain precipitates were later used as an input data for the MatLab creep modelling. During the work in MatCalc software performing equilibrium calculations, several problems occurred. At first it was impossible for Laves phase to nucleate at the service temperature due to low portions of Molybdenum and Silicon and a high portion of Carbon in the material. As a result of a high portion of Carbon, too large fractions of carbides formed, and consumed Molybdenum and Silicon needed for the formation of the Laves phase. Perceiving this phenomenon, it was decided to manipulate the chemical composition of the material while staying in the ISO and DIN standard limits for the chemical composition of the X20 steel. Percentages of Mo and Si were increased which helped only for Laves phase to nucleate, as well as the decrease in the percentage of C, which still wasn’t even close to the fractions found in the experiments. Due to the complexity of the simulation, MatCalc precipitation kinetics simulations showed even lower fractions of Laves phase with the same manipulated chemical composition so it was important to find another solution to perform the simulations, ideally without changing the chemical composition. After detailed analysis of the precipitation kinetics simulations using both old and new diffusion and thermodynamic databases, the problems with Gibbs free energy of the Molybdenum Lavas phase were noticed. Surprisingly, the old MatCalc thermodynamic database with the corresponding diffusion database delivered better results which led to the detailed comparison of the two thermodynamic databases. Focus was on the M23C6 and Laves phase Gibbs free energy parameter related to Molybdenum and some quite major differences were noticed. After several changes in the new thermodynamic database and their combinations, the compatible solution was found and tested in both equilibrium calculation and the precipitation kinetics simulation and delivered satisfying results. To prove the meaningfulness of the database changes, it was tested on another creep resistant steel with Molybdenum Laves phase, P91 and delivered quite satisfying results. After successful precipitation kinetics simulation, the results were loaded into MatLab hybrid creep model developed at IMAT institute of the Graz University of Technology. Due to the low dislocation densities and the corresponding climb velocity, the primary creep curve is impossible to form using this creep model algorithm. As a result of the primary creep, the whole creep curve is disfigured and doesn’t match the curve derived from the experiments showing the disadvantages of the model implying that future improvements have to be made. Database Development for Thermodynamic Simulation of Ta-based Z-Phase Formation in Martensitic Z-SteelsF. Riedlsperger, Institute of Materials Science, Joining and FormingAbstract: To raise efficiency of thermal power plants and to reduce CO2 emissions, creep-resistant materials suitable for higher operation temperatures and pressures are needed. One materials group fulfilling the demands of reaching at least 600°C and 300 bar (without being too expensive for the energy sector) are 9-12% martensitic Cr-steels. Z-steels represent a new promising generation of 12% Cr steels which contain Tantalum. High Cr content and Ta addition cause a very fast transformation of carbo-nitride precursor phases MX and M2X into long-term stable and finely distributed Z-phase CrTaN. This CrTaN Z-phase (in contrast to its harmful relative CrVN) provides significant precipitation strengthening during creep conditions. To simulate thermodynamic equilibrium and precipitation kinetics of Z-steels in MatCalc, further development of an existing CALPHAD steel database was required, incorporating Ta and its interactions with matrix as well as particles. Tests of the database were conducted with 2 sample alloys, proving the successful Ta implementation. Mean size and chemical composition of simulated Z-phases are compared to measurement data from APT and TEM, showing satisfactory agreement. Describing complex intermolecular interactions with SAMPLE: Pushing the feature vector to the limitFabian Weißenbacher, Institute of Solid State Physics, Graz University of Technologyhttps://drive.google.com/file/d/1VWyT-Rzcd3PBaWs7z0RA0umNLKNnm_DR/view?usp=sharingAbstract: The SAMPLE [1,2] approach for structure search on surfaces enables predictions of the geometric structures of inorganic/organic interfaces and their intermolecular interactions with uncertainties close to that of the underlying DFT calculations. However, so far the method has only been tested for simple, highly symmetric adsorbates with trivial chemistry. There, the interactions were overwhelmingly determined by either van-der-Waals interactions [1] or electrostatic interactions [2,3]. The purpose of the present work is twofold: In a first step, we assess the capability of the present implementation to capture more complex interactions. We apply SAMPLE to a set of systematically more complicated adsorbates, where we (a) lower the symmetry of the system, (b) include non-isotropic interactions, such as hydrogen bonds and (c) explore the quality for systems with more complex electrostatic distributions. Here, we expect heteroatoms, such as oxygen and nitrogen, to pose particular challenges for SAMPLE, since they may behave very differently in different chemical environments, even within the same molecule. First tests confirm this expectation, showing that for most complex systems, it is impossible to train our model to acceptable errors. The main purpose of this work, however, is to overcome these limitations. To do so, we will explore to what extend the limiting factor of the implementation is the feature vector, which is used to represent the molecules within the machine-learning model. Potential strategies to improve the feature vector are presented on this poster. [1] Hörmann et al., Comput. Phys. Commun., vol.244, pp.143-155 (2019) [2] Scherbela et al., Phys. Rev. Materials, vol.2, 043803 (2018) [3] Obersteiner et al., Nano Lett., vol.17, pp.4453-4460 (2017) Energy filtered photoemission electron microscopy (EF-PEEM) of nanoparticles, nanostructures and surfacesFlorian Lackner, Institute of Experimental PhysicsAbstract: Photoemission electron microscopy (PEEM) provides a powerful and versatile method for the investigation of a large variety of materials and a characterization of their properties. At the Institute of Experimental Physics we use a NanoESCA photoemission electron microscope (from Scienta Omicron/Focus), equipped with a double hemispherical detector for energy filtering (EF) of photoelectrons. The instrument allows for micro-spectroscopy by analyzing the photoelectron spectrum integrated over a small selected area as well as spectro-microscopy by recording images for a selected kinetic energy of the photoelectrons with a resolution down to 30 nm. This enables, for example, the analysis of the chemical composition of a sample based on local work function variations or shifts of core-level states. The EF-PEEM can also be used for momentum-space microscopy, allowing for a mapping of the band structure of single-crystalline samples. The employed light sources range from a cw discharge lamp, providing 21 eV photon energy, to different available laser systems with a photon energy of a few eV. In particular, the combination of our femtosecond laser system with the NanoESCA is our prime interest, which enables the study of dynamic processes in the materials under investigation in the femtosecond time domain. We will present selected results of our current research at the NanoESCA EF-PEEM. The instrument has been used to study the band structure of materials, for example, of topological insulators such as Bi$_2$Se$_3$. Another branch of our current research is geared towards the investigation of nanoparticles and nanostructures. An example are nanoparticles comprising of Ag cores surrounded by a shell layer of ZnO, combining a plasmonic material with a semiconductor that is of interest for photocatalysis. EF-PEEM provides insight into the formation of ZnO upon oxidation of metallic Zn as well as the plasmonic properties of the material upon excitation with 400 nm photons, which can excite the localized plasmon resonance of the Ag core. Characterization and functionalization of boron nitride nanosheets with organo silanes.Freskida Goni, Institute of Inorganic ChemistryAbstract: Different fillers are used in order to improve the thermal conductivity of polymers. Boron nitride nanosheets are an ideal candidate for this kind of application, due to their appealing properties. These nanosheets have a band gap of 5.955 eV [1], which makes this material an electrical insulator, but with a very high thermal conductivity. However, one of the challenges of using these as fillers is their dispersion in the polymer matrix, because of the high tendency of the nanosheets to aggregate. In order to improve this, the idea was to functionalize the boron nitride nanosheets with organo silanes, so that the modified nanosheets can bond covalently to the polymer matrix, leading to the prevention of aggregation and an increased thermal conductivity of the polymer. Silanes such as (3-aminopropyl)dimethylmethoxysilane as shown in Figure 1, as well as (3-aminopropyl)trimethoxysilane and (3-aminopropyl)diethoxymethylsilane were used to functionalize the boron nitride nanosheets. The modified nanosheets were characterized by dynamic light scattering (DLS), small angle x-ray scattering (SAXS), infrared spectroscopy (IR), ultraviolet-visible spectroscopy (UV-VIS), and atomic force microscopy (AFM). [1] Cassabois, G.; Valvin, P.; Gil, B.; Nature Photonics, 2016, 10(4), 262-266. Hot torsion tests of 100Cr6 steel to simulate the cross-roll piercing processGernot Fauland, Institute of Materials Science, Joining and FormingAbstract: In these days the steel 100Cr6 is the most commonly used steel when it comes to bearing steel applications. One established process route for bearing ring production is by machining of seamless steel tubes. Seamless steel tubes made of 100Cr6 steel can be manufactured by applying the process of cross-roll piercing. To ensure high quality tubes it is essential to know the deformation behaviour of the material to be processed. The present thesis approaches the deformation behaviour of 100Cr6 steel through simulating the cross-roll piercing process at different temperatures and strain rates by conducting hot torsion tests with a Gleeble 3800 as well as flow stress curve computations with the software JMatPro. The resulting experimental and modelled flow stress curves are compared to each other and to similar works from the literature. Choosing a specific 100Cr6 alloy for the hot torsion tests is also carried out on the basis of the JMatPro computations previously performed. Additionally, the hot torsion samples are evaluated in terms of PA grain size to gather information about DRX occurrence. It can be concluded that DRX occurred under all deformation conditions and that DRX grain size decreases with decreasing deformation temperature and increasing strain rate. Friction Riveting – Single-phase process variantGonçalo Pina Cipriano, Graz University of Technology, Institute of Materials Science, Joining and Forming, BMVIT Endowed Professorship for AviationAbstract: Friction Riveting can be used to produce multi-material metallic-insert dissimilar connections. In general, the process aims to be used as an alternative connection method, reducing the usage of mechanical fasteners and adhesives. In single-phase friction riveting a simpler approach is used to join the materials in comparison to the more conventional multi-phase process. A basic application of the process consists of joining a featureless cylindrical metallic cylindrical rivet to a non-reinforced polymeric plate. The single-phase variant does not make use of a higher load phase – i.e. a forging phase – designed to promote extra plastic deformation of the metallic rivet. As such, it can constitute a solution to applications where the normal load applied to the materials must be kept at lower values. In the same manner as the multi-phase friction riveting, this process can be applied to join non-reinforced and reinforced thermoplastics and thermosets. These having been successfully joined with metals such as aluminum, steel and titanium. This work demonstrates that is possible to join AA2024 rivets, with 5 mm of diameter, to non-reinforced polyetherimide plates. A Box-Behnken design-of-experiments and statistical analysis were used to set the parameter matrix and understand the correlations between the process parameters used and the resulting joint properties. The parameters used resulted in a large variation of mechanical energy input (151 – 529 J). Higher-energy joining conditions led to rivet over-deformation and material rupture. Lower energy input corresponded to the best performing joints, characterized by a bell-shaped rivet plastic deformation. Joints performed achieved a maximum ultimate tensile force of 7486 N. The results allow for single-phase friction riveting to be established as an alternative joining process. Improvement of hydrogen induced stress corrosion cracking resistance of ultra-high strength steel screws and fastenershamdi elsayed, IMATAbstract: Among different forms of environmentally assisted cracking (EAC), hydrogen embrittlement (HE), or more specifically, hydrogen induced stress corrosion cracking (HISCC) is the most critical form while dealing with high strength steel used for manufacturing of screws and fasteners(1). The downsizing trend of steel structures for mobility applications to increase efficiency and decrease CO2 emission face this problem, as it is well known that increasing steel strength also increase its susceptibility to HISCC. Thus screw strength class 10.9 (900 yield and 1000 MPa tensile strength) are specified as maximum for safety-related HISCC resistance(2). The main project goal is to establish a controllable method for HISCC testing, which should lead to a better understanding of the embrittlement mechanisms and to evaluate different microstructures, which are tempered martensite, bainite and pearlite by applying different heat treatments to achieve tensile strength of 1400 MPa or higher. The HISCC testing procedure will be performed as Incremental Step Load Test (ISLT) according to standard ASTM F 1624(3) with in situ hydrogen charging by cathodic polarization and corrosion measurements. Raman microscopy of inorganic materials – A stone is a stone! Is a stone?Harald Fitzek, Institute of Electron Microscopy and NanoanalysisAbstract: “In our current laboratory exercise research project we are investigating the composition of common inorganic materials (such as rocks, dirt, crystals, and building materials) and the microscopic imaging of their components. A selection of samples from interested hobby geologist will be available, but students are also encouraged to bring their own samples (anything you are interested in from the soil in your back yard, to a weird looking rock you found while hiking). Our goal is to demonstrate that even in the limited time available during a lab exercise it is possible to produce a good quality analysis of a complex real world sample.” In several lab exercises, we have look at two collection of stones, one purchased by a student and another one collected by a student during a hiking trip. Additionally, building materials from a private home construction side were analyzed. The Influence of Substrate Temperature during Focused electron beam induced deposition (FEBID)Jakob Wilhelm Hinum-Wagner, Institute of Electron Microscopy and Nanoanalysis / CD Laboratory DEFINEAbstract: As the needs for reliable 3D-printing at the nanoscale are rapidly increasing, proper techniques need to be developed to push their capabilities beyond current possibilities. In this context, Focused Electron Beam Induced Deposition (FEBID) is a very promising technique, as it enables mask-less, additive direct-write nano-fabrication of freestanding 3D nano-architectures. For highest precision and reliability, local precursor coverage is of highest importance, as it determines the incremental growth rates and by that predictability and reproducibility. Recently, it was found the local beam heating massively influences the local coverage due to reduced residence times, which explains previously observed stability problems for larger 3D structures[1]. Based on this motivation, we here turn around the situation and lower the substrate temperature to study the implications on stability and precision. We start with Pt-C nano-pillars, fabricated at increasing temperatures on Si-substrates, using a MEMS heating chip (DENSsolutions). The astonishing result was a strong growth rate decay of about 1.5 rel.% per Kelvin, leading to eventual growth stagnation for temperatures above 80 °C. While FEBID at cryogenic temperatures using liquid nitrogen was studied before [2], we here focus on temperatures from room temperature down to 0 °C, which provides a certain level of applicability compared to a much more complicated cryo-stage setup. For that, we designed, fabricated and tested a variable temperature stage using Peltier elements . As discussed, the stage enables precise substrate temperatures in the range of -5 °C to 50 °C with a precision of 100 mK. The results not only explain the origin of previously observed growth rate variations without any heating / cooling but also point out the importance of temperature stability for highest precision and reliability during 3D FEBID. Next, we present FEBID experiments in dependency on temperatures, which clearly shows a massive growth rate increase when approaching 5°C and below. The focus lies on quasi-1D pillars and 3D multi-pod architectures to demonstrate the improved fabrication possibilities at low temperatures to exploit the full potential of FEBID. [1] The Impact of Electron Beam Heating during 3D Nanoprinting, Mutunga et al., ACS Nano (2019) [2] Bresin M. , Toth M. and Dunn K. A., Nanotechnology 24 (2013), 035301-1 - 035301-7 Feature Selection for Functional Properties: Predicting Surface Rearrangements Johannes J. Cartus, Graz University of TechnologyAbstract: With this poster I present an overview over my planned dissertation project. I layout the stages and milestones and give a brief insight into the methods I will be using. The general idea is to investigate various, hitherto unexplained phenomena that occur at inorganic/organic interfaces and to apply modern feature selection algorithms to extract the relevant physics that govern them. The first of these phenomena is a coverage-dependent reorientation of organic monolayers: While most organic monolayers on flat metallic surfaces adopt a flat-lying geometry[1] in order to maximize their van-der-Waals interactions, selected substrate/adsorbate combinations exhibit a structural phase transition before a thin film is formed[1]. The driving force for this phase transition is yet completely unknown. To reveal the underlying physics, I will first apply machine-learning techniques in combination with first-principles modelling to map the potential energy surfaces of various substrate/adsorbate combinations. Then, I will use Feature Selection to extract which properties of the individual constituents that are most indicative for whether a phase transition occurs or not. With this knowledge, I will develop a hypothesis to explain the physics behind the phenomenon. Furthermore, the resulting framework will be a blue print for tackling similar projects in the future. Thus I aim to derive a work flow and a set of tools that will aid investigating complicated and material dependent effects in the future. [1] Zojer, E. et. al., Adv. Mater. Interfaces, 6(14), 1900581, (2019). PEDOT:PSS/CeO2 composites with enhanced electrochemical properties via inkjet printing for smart biointerfacesKirill Keller, TU Graz Institute of Solid State PhysicsAbstract: Nanoceria is a prospect material for many bioapplications. Presence of both Ce$^{4+}$ and Ce$^{3+}$ in its compositions allow active ROS scavenging and antioxidant capabilities. Presented work demonstrates fabrication and electrochemical characterisation of thin film PEDOT:PSS/CeO$_2$ composites. For film deposition inkjet printing was used as fast and simple way to produce thin films and functional microstructures. Cyclic voltammograms of individual films and composite shows significant enhancement of electrochemical properties. Strong field and time resolved photoexcitation effects in Helium nanodropletsLeonhard Treiber, Institute of Experimental PhysicsAbstract: Measurement of ultrafast photoexcitation dynamics of isolated indium (In) atoms inside superfluid helium nanodroplets (HeN) has recently proven the feasibility of HeN as cold containers for femtosecond time resolved spectroscopy. As next step towards more complex systems, photoexcitation dynamics of indium dimers (In2) were studied with femtosecond time-resolved photoelectron and photoion spectroscopy. To get further insight into how the electron emerges the droplet and interacts with the superfluid Helium environment after photoionization, laser-assisted electron scattering (LAES) as ionization mechanism of doped droplets is demonstrated. First measurements of quasi free electrons interacting with He / dopant atoms and the electromagnetic field of the femtosecond laser light are presented. Smart-Data Machine Learning for Surface Polymorph PredictionLukas HörmannAbstract: In this contribution we introduce the SAMPLE approach[1,2], a structure search tool for commensurate organic monolayers on inorganic substrates. The major challenge hereby is the large number of possible polymorphs such monolayers can form. To overcome this challenge, SAMPLE employs physically motivated coarse-grained modeling in combination with Bayesian linear regression to efficiently explore the potential energy surface. SAMPLE works as follows: First, we determine the adsorption geometries isolated molecules adopt on the substrate. Then, we arrange these geometries in a large number of different ways to generate possible polymorphs. Experimental design theory allows us to select a subset of these polymorphs, for which we determine the adsorption energies using dispersion-corrected density functional theory. These data serve as training set for an energy model, consisting of inter-molecule and molecule-substrate interactions. Bayesian linear regression enables determining these interactions and thereby allows to not only gain meaningful physical insight but also predict the adsorption energies for millions of possible polymorphs and find the energetically most favorable one. The capabilities of our approach are shown using three complementary molecules on coinage metals. [1] Hörmann et al., Computer Physics Communications (2019) [2] Scherbela et al., Phys. Rev. Materials 2, 043803 (2018) Weight reduction of a component for a moon landing module through topology optimization and selection of a suitable alloyLukas SchenklAbstract: The aim of this master thesis is to reduce the weight of a pressure regulator to a minimum, which provides helium from a reservoir to maintain the pressure in the fuel tank which supplies the thrust nozzles of moon-landing-module, while perfect functionality and safety is guaranteed. Therefore, an analysis of an existing pressure regulator of the company Ventrex Automotive GmbH, which is already used in natural gas vehicles, should be performed and as a result the usage of alternative materials and manufacturing processes should be examined. A special focus of this thesis consists of carrying out a topology optimization of the existing regulator with the simulation software ‘Ansys Workbench’ as well as considering the usage of bionical structures with additive manufacturing. After the topology optimization was implemented, the right material and the appropriate manufacturing process will be selected dependent on the simulation result. In the further course the pressure regulator should be manufactured and tested for its function and operational safety. Vapour Deposition of Metal-Organic Nanoporous MaterialsMarianne Kräuter, Institute of Solid State PhysicsAbstract: Metal organic frameworks are known for storage and release of gases, catalysis and molecular separation due to their intrinsic nanoporosity and high internal surface area. However, classical synthesis methods are not compatible with device integration or large area deposition, calling for a viable alternative. Therefore, my PhD project is concerned with the deposition of metal-organic nanoporous materials from the vapour phase leading to new fields of application. On- and Off-Switching of Ferromagnetism in Nanoporous Pd(Co)Markus Gößler, Institute of Materials PhysicsAbstract: In the present work the particular features of dealloyed, nanoporous (np) metals have been exploited to switch magnetism. Besides the pore and ligament morphology itself, residues of the initial alloy affect the overall properties of np metals. During the dealloying process, parts of the base alloy are buried under nobler alloy atoms inside the ligaments. Ultimately, this leads to a cluster distribution of the remnant base alloy inside the np network, which sensitively depends on the initial dealloying parameters [1,2]. In this work, residual clusters of cobalt in np palladium are utilized for the magnetic functionalization of the entire structure. Palladium as a d-band metal is on the verge of ferromagnetism, considering its electronic structure. Low amounts of magnetic impurities, such as 0.1 atomic percent of (dispersed) cobalt atoms were found to be enough to turn the cobalt-palladium alloy into a ferromagnet at low temperatures[3]. Dealloying of CoPd (initial composition Co75Pd25) allows to adjust the cobalt concentration and distribution, so that the materials get prone to ferromagnetism at ambient temperature. High-resolution TEM in combination with elemental mapping techniques revealed a residual cobalt concentration of about 8 at% agglomerated in clusters with an average size of 1.5-2 nm. Our motivation was to start in the paramagnetic state of np Pd(Co) and to drive it into ferromagnetism by electrochemical stimuli. For that purpose an in situ electrochemical cell for the use in a SQUID-magnetometer was constructed. Hydrogenation of palladium in that cell proved to be an ideal reaction to achieve a reversible on- and off-switching of ferromagnetism. The high surface-to-volume ratios of np palladium were particularly advantageous for fast reaction kinetics. Magnetic hysteresis measurements revealed a substantial enhancement of both saturation magnetization and coercivity upon hydrogen treatment, which clearly indicates ferromagnetic behavior. Constant field measurements upon voltammetric cycling support these experimental findings by changes in the net magnetization of more than 800%. Our results are discussed in terms of magnetic interactions between the superparamagnetic cobalt clusters and a magneto-elastic coupling in the expanded palladium lattice upon hydrogenation. This work is financially supported by the Austrian Science Fund (FWF): P30070-N36. [1] T. Krekeler, A. V. Straßer, M. Graf, K. Wang, C.Hartig, M. Ritter, J. Weissmüller, Materials Research Letters, 5, 314-321 (2017) [2] X.-L. Ye, N. Lu, X.-J. Li, K. Du, J. Tan, and H.-J. Jin, Journal of The Electrochemical Society, 161, C517-C526 (2014) [3] R. M. Bozorth, P. A. Wolff, D. D. Davis, V. B. Compton, J. H. Wernick, Ferromagnetism in Dilute Solutions of Cobalt in Palladium, Physical Review, 122, 1157-1160 (1961) Simulating Charge Transport Through Metal-Organic Semiconductor Interfaces: Bulk or Contact Limited?Markus Krammer, Institute of Solid State PhysicsAbstract: The performance of organic electronic devices crucially relies on an efficient charge injection. This efficiency is governed by a complex interplay of experimentally tunable properties like level alignment and disorder. The impact of this interplay on the bulk current is only poorly understood from a theoretical point of view. To overcome this lack of knowledge, we utilize mesoscopic simulations to predict the current density across the contact interface. In these simulations, charges are viewed to migrate through disordered organic semiconductors due to hopping between localised states. Parameters like injection barrier, energetic disorder, electric field, Coulomb interactions and temperature can be directly considered. This intuitive method holds the promise to understand the effects and interactions that govern the interplay between interfacial and bulk properties. We analyse the current density for instructive combinations of interface and bulk properties. This analysis yields two distinct regimes, a bulk limited regime and a contact limited regime. The evolution of the current density with respect to injection barrier, energetic disorder and electric field strength is investigated and the origin of bulk vs. contact limitation is analysed. Phase diagram of the extended Hubbard model including spin-orbit coupling on a honeycomb latticeMarkus Richter, Institute of Theoretical and Computational PhysicsAbstract: In 2004, by isolating single layers of graphite, the first 2D-Material Graphene was found by Geim and Novoselov. One year later, the existence of a quantum spin Hall (QSH) state was proposed for lattices of the honeycomb type, as realized in graphene, by including spin-orbit coupling. This was the starting point for the completely new field of topological insulators. Apart from that, the topic of strongly-correlated systems has come more and more into the focus of today’s condensed matter physics due to their often unusual electronic and magnetic properties. The standard model Hamiltonian to investigate on such systems is the Hubbard model. Nonetheless, studies have shown that in case of dimensional constraint also non-local interactions need to be considered making it reasonable to include further interaction terms to the Hamiltonian. The natural expansion of the Hubbard model is the extended Hubbard model, where nearest-neighbor interactions are considered additionally. We use the honeycomb lattice as a playground to investigate the effects of strong correlations, non-local interactions, and spin-orbit coupling, using one orbital per site at half filling. On the unexpected behaviour of Ni-Au and Co-Au core-shell nanoparticlesMartin Schnedlitz, Institute of Experimental PhysicsAbstract: We present molecular dynamics simulations, static basin hopping calculations as well as comparisons with transmission electron microscopy (TEM) studies of 5 nm Ni-Au and Co-Au core-shell particles upon heating. The bimetallic nanoparticles are monitored through a heating cycle up to 1300 K and their structural rearrangement is observed. Via static basin hopping calculations we show that decentralised cores represent for both model systems the energetically most stable configuration. Heating can trigger a rearrangement of an initially centralised cores, however, as temperature increases entropy becomes more dominant, which finally can result in an alloying of the cluster. We show that this fascinating behaviour is an interplay between atomistic and bulk characteristics deduced from surface size effects and bimetallic phase diagrams. Particularly interesting are also studies of oxidation effects and structural rearrangements in core-shell systems where a reactive metal (e.g. Ni) is covered by protective layers of a Au shell. The mere presence of of oxygen species enhances the process of Ni diffusion through the Au shell.footnote{M.~Schnedlitz, M.~Lasserus, R.~Meyer, D.~Knez, F.~Hofer, W.E.~Ernst and A.W.~Hauser, emph{Chem. Mat.}, 2018} The structural integrity of ferromagnetic cores under gas atmosphere plays an important role for future applications of these novel bimetallic nanoparticles. Vanadium(V) oxide clusters synthesized by sublimation from bulkMaximilian Lasserus , Institute of Experimental PhysicsAbstract: We present a new approach to neutral vanadium oxide nanoparticles synthesized by sublimation from bulk in combination with a pickup by superfluid helium droplets. Time-of-Flight mass spectroscopy measurements clearly demonstrate the preservation of the bulk stoichiometric ratio of vanadium to oxygen in He-grown nanoparticles, indicating a tendency towards sublimation of two of more $V_2O_5$ complexes. This unexpected finding opens up new possibilities for a combined on-the-fly synthesis of nanoparticles consisting of metal and metal-oxide layers. In comparison to mass spectra obtained via direct ionization of vanadium oxide in an effusive beam, where strong fragmentation occurred, we observe a clear preference for $(V_2O_5)_n$ oligomers with even n inside the He nanodroplets, which is further investigated. Additional characterisation of transmission electron microscopy (TEM) studies were performed on these $(V_2O_5)$ clusters. Here the UV-vis spectroscopy and the TEM images were used to determine that the oxidation state of the clusters is preserved during the synthesis process. Three-dimensional geometric integrator for charged particle orbits in toroidal fusion devicesMichael Eder, Fusion@ÖAW, Institut für Theoretische Physik - Computational Physics, Technische Universität Graz, Petersgasse 16, A–8010 Graz, AustriaAbstract: A three-dimensional integrator for guiding center orbits of charged particles in toroidal fusion devices with 3D field geometry is described. The integrator uses a representation of the electro- magnetic field by low order polynomials on a 3D tetrahedal grid and is intrinsically designed to preserve the total energy, perpendicular adiabatic invariant, and the phase space volume accu- rately for any grid size. Thus, it belongs to the class of geometric integrators. The integrator is designed for usage in Monte Carlo (MC) procedures to simulate particle distri- bution functions where a box counting method (calculation of dwell time within spatial cells) is used for the evaluation of macroscopic plasma parameters. Such a computation is needed, e.g., for the evaluation of plasma response currents and charges caused by external non-axisymmetric electromagnetic perturbations in tokamaks as well as for kinetic modeling of edge transport in devices with 3D field geometry. This geometric integrator is more efficient in evaluation of dwell times than a solution of guid- ing center equations with a high order adaptive ODE integrator, while keeping roughly the same speed for orbit computations, because dwell times and the particle’s coordinates and velocities at boundaries of spatial cells are intrinsically available without additional efforts for tracing the intersections with cell boundaries. Similar to the 2D geometric integrator of Ref. [1] also the 3D geometric integrator is less sensitive to inaccurate representation of the electromagnetic field resulting from statistical noise in plasma response currents and charges computed by a MC method within a feedback loop. Artificial numerical diffusion which can arise in presence of perturbations is extensively dis- cussed. It can be shown that the use of field aligned coordinates is beneficial and that such a diffusion scales inversely with the grid size and thus can be kept well below neoclassical values. References [1] S.V.Kasilov,A.M.Runov,W.Kernbichler,ComputerPhysicsCommunications207,(2016),282–286 Simulation of AlGaAs oxidation in semiconductor devicesMichael Pusterhofer, Institute of Solid State Physics, Graz University of TechnologyAbstract: The wet oxidation process of AlGaAs has become of interest in the light of Vertical Cavity Surface Emitting Laser mass production, as the optical and electrical confinement provided by the oxide enables high power conversion efficiencies. The produced oxide, however, is reported to reduce its volume, which introduces high-stress fields and aids the growth of so-called dark-line defects. A lot of research can be found about simulating the oxidation and failure modes of VCSELs, but there is very little information on how dark line defects are generated. In this poster, we present the first steps of including the stress field caused by the oxide as a driving force for defect generation by using finite element simulations. We calibrated the oxidation using a reaction limited Deal-Grove model and used it in combination with linear elasticity, to show the possibility of nonlinear deformations around the oxide tip. This insight will aid the creation of a defect generation model and enable the design of more robust VCSELs. Integrated Cryo-Electronics for Trapped Ions Michael Sieberer, Paul Stampfer, InfineonAbstract: The PIEDMONS project addresses several ways to enhance the integration of ion trap quantum devices. One important possible improvement is the integration of digital-to-analog converters directly into the ion trap to replace complex analog connections by simpler digital ones. The presented project aims at developing such an integrated circuit. The main difficulties to face are the operation at cryogenic temperatures, for which no models exist yet, and the stringent requirements regarding noise and power consumption. CP-FE modelling and experimental investigation of gradient structured Al wiresMojtaba Pourbashiri, Institute of Materials Science, Joining and FormingAbstract: During past decades some novel severe plastic deformation (SPD) methods have been developed to strengthen materials by achieving fine and ultrafine-grained (UFG) structures. However, the processes did not succeed from industrial point of view due to small size of the products and the required number of passes to reach to a desirable level of enhanced properties. To achieve a combination of high strength and ductility, one can develop advanced structural materials by artchitecturing imperfection across different length-scales. Among different introduced strategies, the gradient structures in form of gradually changes of microstructural elements (grain size, twining thickness and dislocation density) is shown to lead to an extraordinary strength-ductility synergy. Multiscale modeling plus crystal plasticity theory can be used to simulate microstructural evolution of complex deformation and strain inhomogeneity processes. In this study, we have developed gradient structured wires using ECATD method. To perform FE simulations, we have used NEPER to develop 3D polycrystalline geometry and DAMASK as a subroutine for ABAQUS. To evaluate the codes, We have performed FE simulations for pure torsion deformation and simple compression. Demand-based coupling of the scales: An application to the finite temperature CADD methodPatrick Wurm, Institute of Strength of Materials Material Behavior Across Scales: Grain to ContinuumPayam Poorsolhjouy, Institute of Strength of MaterialsAbstract: Granular materials are the second most manipulated material in industry, only after water. They span the wide spectrum ranging from assemblies of non-cohesive particles to consolidated solids formed of particulate precursors. Due to their discrete and heterogeneous nature, variety of microstructural features and grain-pair interaction mechanisms, as well as loading-induced anisotropic evolution of microstructure, these materials manifest interesting behavior traits. Developing an understanding of the macroscopic behavior of these materials as well as its connection to the micro-scale phenomena happening at grain-scale is, therefore, essential for analysis of existing materials as well as designing metamaterials. In the presented research we exploit discrete and continuum viewpoints on modeling granular materials for developing a multiscale approach which leverages the benefits of both discrete models, i.e. explicit representation of microstructure and micromechanical features, and continuum models, i.e. computational affordability. The presented holistic approach is capable of accurately, yet efficiently, incorporating micro-scale information into the macroscopic modeling process. SimCP – Simulation-aided Cell Production – Investigation of the expansion of Li-ion cells with Si-based anodesPhilip Kargl, Virtual Vehicle Research CenterAbstract: At the moment, Li-ion cells excel other battery technologies regarding capacity and energy density. They also show potential for further development. For a significant improvement of cell performance, the use of new electrode materials is necessary. Si and Si-compounds are promising candidates for anode materials due to their high capacity for the insertion of Li-ions. One big drawback, which hinders commercialization, is the large expansion of these materials when the ions are inserted. To overcome these problems, a detailed knowledge about the materials and their expansion behaviour under various conditions is necessary and vital for further development and optimization. This characterization of cells with Si-containing anodes is the first pillar of the research project. Due to the lack of standardised measurement procedures, innovative measurement techniques based on dilatometry will be developed and available procedures will be optimised. The data generated by these measurements will be the bedrock of a better understanding of the chosen cell chemistry and one basis for its further development and optimization. One drawback of such measurements is that only the expansion of the whole cell can be monitored. The distribution of mechanical quantities such as forces and stresses cannot be resolved in detail. This gap can be filled by means of simulations, which is the second pillar of the project. As a first step, a model for pouch cells will be set-up, which will be validated with the generated measurement data. With the help of the model, an investigation of the expansion within the different electrode layers is possible. In a second step, the model will be transferred to cylindrical/prismatic cell geometries with wound electrodes (jelly roll). In addition, the winding process of the electrodes will be simulated to gain information about stresses in the electrodes before cell operation. The simulations aim for providing detailed knowledge about the mechanical behaviour of the jelly roll and the whole cell and in further consequence improving the understanding of the internal processes inside the cell. The final goal is to provide important and useful information to cell and module designers, which lead to an improved cell design and production process. Within the first year of the project, a new measurement set-up has been designed and first preliminary results are available. The set-up will be used to investigate the expansion behaviour of pouch cells under a well-defined mechanical load during normal cell operation. It is capable of measuring both expansion and force evolution of the cell as a response to an input current profile. In addition, a first meso-mechanical simulation model of a pouch cell has been set-up. For parameterisation of the model data from mechanical tests of all cell components has been used. Parameters such as Young’s modulus, the yield strength and the plastic behaviour can be obtained by the data. The model will be able to simulate the expansion behaviour of the cell and will be validated with the generated measurement data. Nanoporous Structure of Dealloyed Metals Analyzed by Electrochemical Impedance Spectroscopy and Positron Annihilation Lifetime SpectroscopyPhilipp Emanuel Brunner, Institute of Materials PhysicsAbstract: Via electrochemical dealloying, a selective etching process [1], nanoporous gold (npAu), palladium (npPd) and platinum (npPt) was prepared from the initial alloys $Ag_{75}Au_{25}$, $Co_{75}Pd_{25}$ and $Cu_{75}Pt_{25}$ and characterized by electrochemical impedance spectroscopy (EIS) and positron lifetime spectroscopy (PALS). These dealloying systems exhibit clear differences in their impedance spectra which arise mainly from the characteristic length scales in the porous structures [2]. By fitting these spectra, structural parameters such as the pore radius, the ligament size, and the pore length can be determined. EIS also yields access to the tortuosity of the pores [3]. In all cases, the pore size is found to be about 50 % larger than the ligament size, which is in good accordance with literature [4]. Occluded pore shapes were estimated from the EIS spectra in the Nyquist plot representation for all investigated nanoporous metals. Particular focus is placed on structural changes due to heat induced coarsening of nanoporous gold. Beside an increase in the pore radius, also a change in the EIS spectrum and a decrease in the tortuosity, which are indications for more cylindrical pores, can be observed. The defect structure of npPt in different sample conditions, such as in the as-dealloyed and the coarsened state, was furthermore investigated via PALS. Three lifetime components were deduced from the measured spectra and attributed to vacancy-sized defects, micro-voids and positronium formation on the sample surface. The formation of positronium, a quasi-stable hydrogen-like bound state between an electron and a positron, is caused by platinums negative work function for positrons. It was found that on the as-dealloyed npPt surface the highest, whereas on the coarsened surface the lowest amount of positronium is formed. References: [1] Erlebacher et al., Nature, 410:450-453, 2001 [2] Sieradzki et al., Nat Mater, 12:1102-1106, 2013 [3] E. Detsi et al., Scripta Mater, 64:319-322, 2011. [4] X. Lang et al., Scripta Mater, 64:923-926, 2011. 4-D printing of NiTi Shape Memory AlloysRafael Paiotti, Institute of Welding, Joining and Forming - IMATAbstract: Nickel-Titanium (NiTi) shape memory alloys (SMA) have been broadly employed to biomedical and aerospace industry due to its functional properties, namely shape memory effect (SME) and superelasticity (SE). Usually, NiTi is thermo-mechanically processed from cast ingots, thereafter forming into rods, bars, sheets and wires. For this purpose, the material must follow a complex combination of working conditions. However, intrinsic problems such as high reactivity and strength configure an additional challenge to their processing. Moreover, if a complex design is aimed, the processing (and the shape memory behavior) might be compromised. Hence, the application potential of NiTi has been somehow limited. Nonetheless, in the last decade additive manufacturing (AM) has shown be capable of overcoming such difficulties, once it enables the manufacturing of complex SMA parts of maintaining its desired functional properties. In AM, powder-based processes have skyrocketed and, according to recent reviews, selective laser melting (SLM) is the main technique used for the processing of SMA. On the other hand, SLM and related powder-based processes still present two critical limitations: impurity pick-up (C, O and N) and part size limitation. As a result, the manufacturing of large structural metal parts is currently out of question. One alternative for the aforementioned problems is found on the electron beam freeform fabrication (EBF3) technique. EBF3 uses electron beam as energy source and wires as feedstock, fabricating additively large parts with medium-complexity. In addition, since the processing takes place in a vacuum chamber, thus reducing the level of contamination. In reason of its versatility, this cutting-edge technology HAS gained importance achieving increasingly more acceptance for industrial applications. To the best of author’s knowledge, there are currently no scientific work addressing the fabrication of SMA using EBF3 as a technique. The present work aims to report the feasibility of EBF3 for producing Ni-rich NiTi SMA parts with functional properties. For this purpose, the characterization of as-fabricated and post-annealed parts were performed, revealing the microstructural features, the phase identification and the reversible martensitic transformation inherent to the shape memory alloys. Towards new plasmonic materials: Synthesis of K and K-Au nanoparticles with helium dropletsRoman Messner, Institute of Experimental PhysicsAbstract: We report on experiments on K and bimetallic K-Au nanoparticles produced under UHV conditions by synthesis in helium nanodroplets. Bimetallic K-Au nanoparticles are promising candidates as building blocks for future meta-materials due to their excellent plasmonic properties. Considering the growing importance of plasmonic technology with diverse applications, for example, in photovoltaics, medical diagnostics, catalysis and surface enhanced Raman spectroscopy, the search for better plasmonic materials constitutes an important task for both science and industry. The investigated particles were fabricated by coagulation of metal atoms after pickup by cold helium nanodroplets. The employed experimental techniques encompass in-situ in-flight spectroscopy, as well as ex-situ examinations via transmission electron microscopy. Beam depletion spectroscopy reveals a strong resonance in plain K clusters isolated in HeN at about 600 nm, in agreement with experiments on free K clusters. The position of the resonance depends on the K partial pressure in the pickup region, i.e. the size of the nanoparticles. After adding a Au pickup zone subsequently to the K pickup region, a blue shift of the resonance is observed, towards the well-known localized plasmon resonance of plain Au nanoparticles. A very important aspect of our current research is to test the possibility of passivating the highly reactive K clusters with a Au shell, which may be possible with the helium droplet technique. First TEM investigations show promising results, opening up new perspectives for the production of novel materials and material combinations for plasmonics with helium droplet based nanoparticle synthesis. Investigation of soft matter materials with the new system RISE combined with EDXSRuth Schmidt, Institute of Electron Microscopy and NanoanalysisAbstract: At the Institute of Electron Microscopy and Nanoanalysis of Graz University of Technology (FELMI) together with the Graz Center for Electron Microscopy (ZFE) the new system RISE (Raman Imaging and Scanning Electron microscopy) offers the possibility of high resolution imaging by the scanning electron microscope Zeiss Sigma 300 VP (Oberkochen, Germany) and chemical analysis with the attached Raman microscope from WITec (Ulm, Germany). [1,2,3] Additionally the arrangement is equipped with a modern silicon drift detector from Oxford (UK) for energy dispersive x-ray spectroscopy (EDXS). This setup enables to distinguish different complex materials concerning layers, filler particles and additives and provides sample characterization in the same region of interest (ROI). This is realised in an uncomplicated manner by a stage movement (semi-automatically) between the SEM and the Raman measurement position in the specimen chamber. Different samples were investigated to present the possibilities of the new system. The analysis of a commercially available packing film gives a great impression how to display the different polymer layers by the Raman microscope. Results show in addition to a layered structure additives in one layer, which were additionally analysed by automated particle analysis performed with the program AZtec from Oxford. [4] [This work was enabled by the projects "HRSM-Projekt ELMINet Graz - Korrelative Elektronenmikroskopie in den Biowissenschaften" (i.e. a cooperation within "BioTechMed-Graz", a research alliance of the University of Graz, the Medical University of Graz, and Graz University of Technology)] References: [1] S.L. Fonta, B. M. Humbel, Correlative microscopy, Archives of Biochemistry and Biophysics 581 (2015) 98-110 [2] A. A. Mironov, G. V. Beznoussenko, Correlative microscopy: a potent tool for the study of rare or unique cellular and tissue events, Journal of Microscopy, 235, (2009, 308-321 [3] Zeiss, Correlative Microscopy in Material Science, Microscopy and Analysis, Essential Knowledge Briefings, First Edition 2017 [4] R. Schmidt et al, The combination of electron microscopy, Raman microscopy and energy dispersive X-ray spectroscopy for the investigation of polymeric materials, Macromolecurlar Symposia, Vol. 384, 1, 2019 Alignment Study of Epitaxially Grown Cu(BDC)-MOFs via X-ray Pole Figure TechniqueSebastian Hofer, Institute of Solid State PhysicsAbstract: Aligned metal organic frameworks (MOFs) are interesting for usage in optical, sensor and microelectronic application.[1] Recent works demonstrated how MOFs can be epitaxially grown on a copper hydroxide surface.[2,3] In this work, copper-based MOFs linked in two dimensions by 1,4-benzenedioic acid (BDC) are grown on Cu(OH)2 nanobelts. The nanobelts, with dimensions of several µm in length, and approximately 20 nm in width, are deposited on silicon surfaces by solution processing. It is apparent that the alignment of the Cu(OH)2 nanobelt substrate is an important parameter for the controlled, oriented growth of the MOF. Samples are investigated using rotating grazing incidence X-ray diffraction (GIXD), probing a large volume of reciprocal space by rotation of the sample around its surface normal. This data then allows the determination of the nanobelt alignment by calculation of pole figures. Applying the same approach to the MOF, we studied the degree of alignment of the substrate transferred to the MOF. In a subsequent step, the crystal structure of the MOF can be compared to known crystal structures from literature.[4] Interestingly, we found that none of the known crystal structures is matching the experimental peak pattern, i.e. Cu-BDC can form a new crystal structure when grown on Cu(OH)2 nanobelts. [1] Allendorf et al., Chem Eur J 17, 11372 (2011). [2] Falcaro et al., Nature Materials 16, 342 (2017) [3] Ikigaki et al., Angew Chem Int Ed 48, 6886 (2019) [4] Tannenbaum et al., Eur J Inorg Chem 2009, 2338 (2009) Recovery and recrystallization study of an Al-3wt%Mg alloy using a unique combination of quantitative difference-dilatometry and electron backscatter diffractionSiegfried Arneitzhttps://bit.ly/2ZtaKcYAbstract: Special rolling and heating procedures, as well as the formation, migration and annihilation of dislocations are the cause for a well- defined microstructure, which results in the improvement of the properties of workhardenable metallic materials. Fundamental knowledge of these processes as well as the microstructure is also of utmost importance for the simulation of large- scale industrial processes, especially in aluminum industry. The main subject of this work is to demonstrate a novel approach of recovery and recrystallisation analysis by combining quantitative difference dilatometry with electron backscatter diffraction (EBSD). The first method enables orientation dependent analysis of the irreversible length change during annealing and the latter enables a broad way of microstructural characterization. For this study, the commercial aluminum alloy AW5754 was chosen to examine these annealing processes during linear heating after deformation. Contrary to precipitation hardenable aluminum alloys, this type of alloy does not form a second phase during cooling and is therefore not prone to aging effects. The combined results gained from dilatometry and EBSD can be used for finding key parameters such as characteristic temperatures, activation energies and especially changes in the dislocation density that are necessary as input parameters for modelling of recovery and recrystallisation processes. Studying surface dynamics and THz collective excitations in topological insulators with helium atom scatteringSimon HalbritterAbstract: Inelastic helium atom scattering (HAS) is the ideal tool to study the surface vibrational modes of topological insulators such as $Bi_{2}Te_{3}$ and $Bi_{2}Se_{3}$, since it provides access to the low-energy meV region and allows to study subtle effects such as the influence of van der Waals bonding in layered crystals[1]. Considering that HAS has recently been recognised as a powerful tool to investigate the electron-phonon interaction at surfaces[2,3], the question arises whether it can also be used to study charge density waves (CDWs): Periodic modulations of the electron density, which are ubiquitous phenomena in crystalline metals[4]. Indeed HAS is able to follow a CDW phase-transition in the one-dimensional topological metal $Bi(114)$[5]. The dispersion curves of the topological insulator $Bi_{2}Se_{3}$ reveal two additional branches in the gap below the surface acoustic wave, suggesting the presence of surface plasmons in the THz region. The comparison of density functional perturbation theory calculations with additional HAS measurements of the topological materials $Sb_{2}Te_{3}$ and $Bi_{2}Te_{2}Se$ shows similar features, indicating that collective excitations in the ultra-low energy meV region are a common phenomenon on these surfaces. [1] A. Tamtögl, D. Campi, M. Bremholm, E. M. J. Hedegaard et al., Nanoscale 10, 14627 (2018). [2] A. Tamtögl, P. Kraus, N. Avidor, M. Bremholm et al., Phys. Rev. B. 95, 195401 (2017). [3] A. Tamtögl, P. Kraus, M. Mayrhofer-Reinhartshuber, D. Campi et al., Phys. Rev. B 87, 035410 (2013). [4] G. Grüner, Rev. Mod. Phys. 60, 1129 (1988). [5] P. Hofmann, M. M. Ugeda, A. Tamtögl, A. Ruckhofer et al., Phys. Rev. B 99, 035438 (2019). Development of site-specific arrays of pressure, temperature and humidity multi-responsive nanorods Taher Abu Ali, Institute of Solid State PhysicsAbstract: Zinc oxide deposited by a novel new technique, Plasma Enhanced Atomic Layer Deposition (PEALD) is combined with a thermoresponsive hydrogel, namely p(NVCL), deposited by Initiated Chemical Vapor Deposition (iCVD), which results in multi-stimuli responsive core-shell nanorods. These nanorods are deposited into a template material (UV-curable Polyurethane acrylate). The template material is deposited onto flexible PET substrates and is subsequently patterned using UV-NIL techniques. Electrical characterization of the resultant device is required to quantify the response to humidity, temperature and pressure, which is accompanied by FEM simulations. Microbiologically influenced corrosion (MIC) of steel - A study using correlative SEM, EDX and Raman microscopyThomas Planko, Graz Centre for Electron Microscopy, Steyrergasse 17, Graz, AustriaAbstract: Direct costs due to corrosion worldwide amount to 3% and in some countries up to 5% of the GDP (gross domestic product). Secondary cost like production losses or efficiency loss can be much higher. Apart from these enormous costs and the economic consequences, in many areas, corrosion represents a very high safety risk (e.g. aircraft and pipelines). Microbiologically influenced corrosion (MIC) is responsible for 20% of all corrosion damage. In this context, there is great interest in understanding MIC especially, since it has been shown that some microbes slow down the rate of corrosion, while others speed it up. It is important to note that one of the difficulties in understanding MIC is that the composition of bacterial cultures and biofilms can vary greatly. This makes any newly discovered composition an interesting topic to study. During experiments in the Koralmtunnel, a bacterial strain was found, whose main mass consists of iron-oxidizing gallionella ferruginea, sulfur-oxidizing thiothrix and methanotrophic bacteria. This bacterial strain causes MIC and as a result a biofilm is formed. Both a macroscopic and microscopy analysis of the samples is performed. On the macroscopic side, the average corrosion rates are determined by etching in accordance with ASTM Standard G1-03. On the microscopic side a novel technique that combine Raman imaging with scanning electron microscopy (SEM) and energy dispersive X-Ray spectroscopy (EDX) (Zeiss Sigma 300 VP; Oxford X-Max 80; WITec RISE) is applied. The correlative Raman microscopy complements the established SEM-EDX combination with information about chemical bonds and oxidation states. Analysing Tunneling Current-Voltage Characteristics in Molecular JunctionsThomas Taucher, V. Obersteiner, and E. Zojer, Graz University of Technology, NAWI GrazAbstract: When characterizing molecular and monolayer junctions one of the key­-parameters used is the so­-called transition voltage Vt. Its rela­tion to the intrinsic electronic properties of the junction is still poorly understood, although Bâldea, Frisbie and co­workers[1] have re­cently obtained an excellent correlation between the energetic positions of the electronic transport channels extracted from a simple one­state model and the positions of the peaks in the density of states obtained via photoelectron spectroscopy measurements. This raises the question, to what extent a model building on a single, discrete energy level can be sufficient to represent the complex elec­tronic structure of the junction. We investigated the applicability of the aforementioned model especially in view of the vastly different coupling strength between substrates and molecules upon changing the docking chemistry. [1] Z.Xie, I. Bâldea, C. E. Smith, Y. Wu and C.D. Frisbie, ACS Nano 2015, 9 (8), 8022­8036 Understanding Phonon Properties in Metal-Organic Frameworks From First PrinciplesTomas Kamencek, Institute of Solid State Physics, Graz University of TechnologyAbstract: Metal-organic frameworks (MOFs) have been extensively studied during the last years due to their numerous possible applications exploiting the large amount of internal surface area (e.g. catalysis, storage, capture and separation of gases). Due to the relatively new trend to employ MOFs in functional devices [1-3], researchers have been gradually becoming more interested in their functional properties, many of which are typically dominated by contributions of phonons – i.e. quasi-particles of lattice vibration with energy and momentum. However, vibrational properties in MOFs, despite their importance for describing practically relevant quantities like thermal conductivity [4], mechanical behaviour [5], or thermal expansion [6], are still largely unexplored. Here, the phonon picture provides a convenient framework to associate various materials properties with individual vibrational modes and helps to understand why certain properties can be observed. By exploiting knowledge about the phonons, specific building blocks can be combined to engineer phonon band structures and the resulting properties. Therefore, we studied the influences of different constituents on the (an)harmonic vibrational properties of a variety of MOFs by means of atomistic simulations. We systematically varied the metallic nodes and organic linkers in isoreticular MOFs (IRMOFs) to separately explore their influence on the phonon dispersion and the resulting properties. The goal of our study is to deduce structure-to-property relationships for phonon-related properties in MOFs: differences in physical observables (thermodynamic quantities, elastic constants, etc.) are explained by comparing vibrational modes amongst the studied systems and rationalising frequency shifts by structural arguments. Clear trends in the changes of phonon band dispersion and spatial localisation of modes can be observed. Our simulations have been performed in the framework of density functional theory using the PBE functional [7] and self-consistent charge density functional tight binding [8]. [1] N. C. Burtch, J. Heinen, T. D. Bennet, D. Dubbeldam, and M. D. Allendorf, Adv. Mater., 30, 1704124 (2018) [2] Y. Cui, B. Li, H. He, W. Zhou, B. Chen, and G. Qian, Acc. Chem. Res., 49, 483 (2016) [3] V. Stavila, A. A. Talin, and M. D. Allendorf, Chem. Soc. Rev., 43, 5994 (2014) [4] X. Wang, R. Guo, D. Xu, J. Chung, M. Kaviany, and B. Huang, J. Phys. Chem. C, 119, 26000 (2015) [5] M. R. Ryder, B. Civalleri, G. Cinque, and J. Tan, CrystEngComm, 18, 4303 (2016) [6] W. Zhou, H. Wu, T. Yildirim, J. R. Simpson, and A. R. Hight Walker, Phys. Rev. B, 78, 054114 (2008) [7] J. P. Perdew, K. Burke, and M. Ernzerhof, Phys. Rev. Lett., 77, 3865 (1996) [8] M. Elstner, D.Porezag, G. Jungnickel, J. Elsner, M. Haugk, T. Frauenheim, S. Suhai, and G. Seifert, Phys. Rev. B, 58, 7260 (1998) Material model for pulp fibresTristan Seidlhofer, Institute of Strength of Materials, Graz University of TechnologyAbstract: Mechanical characteristics of paper is for increasing performance demands in industrial applications of high relevance. However, the mechanics of paper is very difficult to predict, since it consists of an unordered network of fibres. Additionally, very less is known about the mechanics of the pulp fibres it consists of. This study aims to give deeper quantitative insight into the relaxation phenomena of individual pulp fibres. For that we propose a minimal continuum representation and parameter estimation method. Finally, this model can be used as a subpart of a network simulation and predict unwanted deformations in high speed printing applications. Seidlhofer, T., Czibula, C., Teichert, C., Payerl, C., Hirn, U., and Ulz, M. H. (2019). A minimal continuum representation of a transverse isotropic viscoelastic pulp fibre based on micromechanical measurements. Mechanics of Materials, 135(May), 149–161. U-Joining of additively manufactured composite-metal hybrid parts: An innovative approachWillian Sales de Carvalho, Institute of Welding, Joining and Forming - IMAT, TU GrazAbstract: One of the main strategies applied by the transportation industry to improve products’ energy efficiency is the application of lightweight alloys and engineering polymers or composites. Combining these dissimilar materials allows unique solutions for engineering requirements; however, it also demands advanced assembly techniques to allow the adequate combination of their positive properties, such as the high mechanical strength of Ti-6Al-4V alloy and the low density of CF-PEEK. Nonetheless, joining these materials also represents a great challenge, since dissimilar materials can have extreme differences in their properties. Ultrasonic Joining (U-Joining) is a recently developed solid-state joining process which has been shown suitable to produce hybrid joints between conventionally manufactured metals and thermoplastic-based materials. Since Additive Manufacturing (AM) processes have been gaining momentum on their industrial applications, there are an unexplored field which can provide innovative solutions to the implementation of U-Joining: the joining of additively manufactured composite-metal hybrid parts. The use of AM processes allows the production of parts with complex designs using topology optimization, which can be assembled together using the U-Joining process. This work aims to develop, manufacture and evaluate the mechanical performance of additively manufactured aircraft composite-metal hybrid structures produced by U-Joining. Surface Crystallization Studies of 2-decyl-7-phenyl-[1]benzothieno[3,2-b][1]benzothiophene (Ph-BTBT-10)Wolfgang Rao BodlosAbstract: Benzothieno[3,2-b][1]benzothiophene (BTBT) derivatives are very promising candidates in the field of solution processable organic semiconductors. 1 In this work the surface crystallization behaviour of Ph-BTBT-10 is investigated. Thin films starting from the monolayer regime up to thick films were prepared by spin coating and physical vapour deposition. The films were investigated in terms of crystalline properties and thin film morphology by X-ray diffraction, X-ray reflectivity and Grazing Incidence X-ray diffraction, atomic force microscopy and optical microscopy. It is shown that by spin coating at low concentrations of 0.3 g/l an incomplete monolayer of standing molecules with the aromatic core pointing towards the substrate is formed. At higher concentrations between 0.5 g/l and 3 g/l strong island growth starts which leads to the formation of macroscopic islands with dendritic monolayers in-between them. Physical vapour deposition demonstrates a more homogenous distribution of the material forming terraces of multiple molecules. In thin films whether in solution or PVD crystalline structures are observed in XRD. As well as the known bulk phase with a head to head arrangement of two molecules in an orthorhombic unit cell possessing a herringbone structure, also other polymorphic phases are present.