von Pezold, J.; Neugebauer, J.: Hydrogen enhanced local plasticity - An atomistic study. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
Neugebauer, J.: Ab initio design of engineering materials: Status and challenges. UCSB-MPG Workshop on Inorganic Materials for Energy Conversion, Storage and Conservation, UCLA Lake Arrowhead Conference Center, CA, USA (2008)
Neugebauer, J.: Ab initio based modeling of engineering materials: From a predictive thermodynamic description to tailored mechanical properties. UCSB Seminar, University of California, Santa Barbara, USA (2008)
Hickel, T.; Uijttewaal, M.; Grabowski, B.; Neugebauer, J.: First principles Determination of Phase Transitions in Magnetic Shape Memory Alloys. Group Seminar in Materials Department, University of California (UCSB), Santa Barbara, CA, USA (2008)
Counts, W. A.; Friák, M.; Raabe, D.; Neugebauer, J.: Using Ab Initio to Predict Engineering Parameters in bcc Magnesium-Lithium Alloys. Deutsche Physikalische Gesellschaft Meeting, Berlin, Germany (2008)
Neugebauer, J.: Ab initio basiertes Computergestütztes Materialdesign: Von der chemischen Bindung zu realen Werkstoffeigenschaften. Seminar at the TU Clausthal, TU Clausthal, Germany (2008)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Optical properties of semiconductor nanostructures, a PW-approach to real-space properties. MRL seminar at UCSB, UCSB, Santa Barbara, USA (2008)
Grabowski, B.; Hickel, T.; Neugebauer, J.: From ab initio to materials properties: Accuracy and error bars of DFT thermodynamics. Phonon Workshop, Krakau, Poland (2007)
Hickel, T.; Uijttewaal, M.; Grabowski, B.; Neugebauer, J.: Determination of symmetry reduced structures by a soft-phonon analysis in magnetic shape memory alloys. 2nd Workshop on ab initio phonon calculations, Cracow, Poland (2007)
Neugebauer, J.: Ab initio thermodynamic and kinetics based on material design: Present status and perspectives. Seminar at the University of Oxford, Dept. of Materials, Oxford, UK (2007)
Friák, M.; Sander, B.; Ma, D.; Raabe, D.; Neugebauer, J.: Phase stability and mechanical properties of alloys. International Max-Planck Workshop on Multiscale Modeling of Condensed Matter, Sant Feliu de Guixols, Spain (2007)
Neugebauer, J.: Ab initio thermodynamics. International Max-Planck Workshop Multiscale Materials Modeling of Condensed Matter, Sant Feliu de Guixols, Spain (2007)
Friák, M.; Neugebauer, J.: First principles study of the anomalous volume-composition effect in Fe-Al and Fe-Ga alloys. 4th Discussion Meeting on the Development of Innovative Iron Aluminum Alloys, Interlaken, Switzerland (2007)
Abu-Farsakh, H.; Neugebauer, J.: Ab-initio study of the thermodynamics and kinetics of N at GaAs(001) surface. PAW workshop 2007, Goslar, Germany (2007)
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…