Counts, W. A.; Friák, M.; Raabe, D.; Neugebauer, J.: Using Ab Initio to Predict Engineering Parameters in bcc Magnesium-Lithium Alloys. American Physics Society March Meeting, New Orleans, LA, USA (2008)
Abu-Farsakh, H.; Neugebauer, J.: Enhancing N solubility in diluted nitrides by surface kinetics: An ab-initio study. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
Freysoldt, C.; Neugebauer, J.: Charged defects in a supercell formalism: From an empirical to a fully ab-initio treatment of finite-size effects. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
Grabowski, B.; Ismer, L.; Hickel, T.; Neugebauer, J.: Ab initio up to the melting point: Influence of vacancies and explicit anharmonicity. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
Kim, O.; Friák, M.; Neugebauer, J.: Ab initio analysis of the carbon solubility limits in various iron phases. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
Lymperakis, L.; Neugebauer, J.: Thermodynamics and adatom kinetics of non-polar GaN surfaces. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Plane-wave implementation of the k.p-formalism including strain and piezoelectricity to study the optical properties of semiconductor nanostructures. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
Todorova, M.; Neugebauer, J.: A new approach to obtain electrochemical E/pH diagrams derived from the viewpoint of semiconductor defects. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
Udyansky, A.; Friák, M.; Neugebauer, J.: An ab-initio study of the phase transitions in the interstitial Fe–C solid solutions. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
Uijttewaal, M.; Hickel, T.; Neugebauer, J.: Phase transformations of Ni2MnGa shape memory alloy from first principles. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
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)
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.