Dick, A.; Körmann, F.; Abbasi, A.; Hickel, T.; Neugebauer, J.: Towards an ab initio based understanding of deformation mechanisms in high-manganese Steels. 1st Int. Conf. on High Manganese Steels, Seoul, South Korea (2011)
Neugebauer, J.: Accuracy and limitations of ab initio approaches in predicting free energies for binaries and unstable phases. CALPHAD Workshop, Rio de Janeiro, Brazil (2011)
Fehr, M.; Schnegg, A.; Teutloff, C.; Bittl, R.; Astakhov, O.; Finger, F.; Pfanner, G.; Freysoldt, C.; Neugebauer, J.; Rech, B.et al.; Lips, K.: A Detailed Investigation of Native and Light-induced Defects in Hydrogenated Amorphous Silicon by Electron-spin Resonance. MRS Spring Meeting and Exhibit 2011, San Francisco, CA, USA (2011)
Elstnerová, P.; Friák, M.; Neugebauer, J.: Enhancing mechanical properties of calcite by Mg substitutions - A quantum-mechanical study. EuroBioMat - European Symposium on Biomaterials and Related Areas, Jena, Germany (2011)
Pfanner, G.; Freysoldt, C.; Neugebauer, J.: EPR parameters of the dangling bond defect in crystalline and amorphous silion: A DFT-study. APS march meeting 2011, Dallas, TX, USA (2011)
Todorova, M.; Valtiner, M.; Neugebauer, J.: Hydrogen adsorption on polar ZnO(0001)–Zn - Extending equilibrium surface phase diagrams to kinetically stabilised structures. March meeting of the American Physical Society (APS), Dallas, TX, USA (2011)
Aydin, U.; Boeck, S.; Hickel, T.; Neugebauer, J.: Hydrogen solution enthalpies derived from first principles: Chemical trends along the series of transition metals. DPG Frühjahrstagung 2011, Dresden, Germany (2011)
Pfanner, G.; Freysoldt, C.; Neugebauer, J.: EPR parameters of the dangling bond defect in crystalline and amorphous silion: A DFT-study. DPG spring meeting 2011, Dresden, Germany (2011)
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
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…
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.
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…