Ismer, L.; Hickel, T.; Neugebauer, J.: Effect of interstitial carbon on the magnetic structure of fcc iron: Towards an ab-initio understanding of austenitic steels. DPG Spring Meeting 2009, Dresden, Germany (2009)
Körmann, F.; Dick, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: The free energy of iron: Integrated ab initio derivation of vibrational, electronic, and magnetic contributions. DPG Spring Meeting 2009, Dresden, Germany (2009)
Lange, B.; Freysoldt, C.; Neugebauer, J.: Role of the parasitic Mg3N2 phase in post-growth activation of p-doped Mg:GaN. DPG Frühjahrstagung, TU Dresden, Germany (2009)
Ma, D.; Friák, M.; Raabe, D.; Neugebauer, J.: Multi-physical alloy approaches to solid solution strengthening of Al. Deutsche Physikalische Gesellschaft 2009, Dresden, Germany (2009)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Application of an eight-band k.p model to study III-nitride semiconductor. DPG Spring Meeting 2009, Dresden, Germany (2009)
Pfanner, G.; Freysoldt, C.; Neugebauer, J.: Ab-initio calculations of hyperfine parameters for various Si-dangling bond models. DPG spring meeting, TU Dresden, Germany (2009)
Todorova, M.; Ismer, L.; Neugebauer, J.: Role of anharmonic contributions for the elasticity of ice. Fruehjahrstagung der Deutschen Physikalischen Gesellschaft, Dresden, Germany (2009)
von Pezold, J.; Lymperakis, L.; Neugebauer, J.: A multiscale study of the Hydrogen-enhanced local plasticity mechanism (HELP). Fruehjahrstagung der Deutschen Physikalischen Gesellschaft 2009, Dresden, Germany (2009)
Hickel, T.; Uijttewaal, M.; Neugebauer, J.: First principles determination of phase transitions in magnetic shape memory alloys. APS March Meeting, Pittsburgh, PA, USA (2009)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Investigation of group III-nitride semiconductor nanostructures using an eight-band k.p formalism. APS March meeting, Pittsburgh, PA, USA (2009)
Todorova, M.; Ismer, L.; Neugebauer, J.: Role of anharmonic contributions for the elasticity of ice. March meeting of the American Physical Society (APS), Pittsburg, USA (2009)
von Pezold, J.; Lymperakis, L.; Neugebauer, J.: A multiscale study of hydrogen embrittlement in metals: Revisitting the Hydrogen-enhanced local plasticity mechanism. APS March Meeting, Pittsburgh, PA, USA (2009)
Freysoldt, C.; Neugebauer, J.; Van de Walle, C. G.: Fully ab initio supercell corrections for charged defects. APS march meeting, Pittsburgh, PA, USA (2009)
Neugebauer, J.: Materials design based on ab initio thermodynamics: Development of accurate and efficient multiscale strategies. IWOM3 – International Workshop on Multiscale Materials Modeling, Berlin, Germany (2009)
Hickel, T.; Uijttewaal, M.; Neugebauer, J.: Ab initio investigation of temperature dependent effects in magnetic shape memory Heusler alloys. SPP 1239 Convention, Duisburg, Germany (2009)
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.