Du, Y. J. A.; Ismer, L.; Rogal, J.; Hickel, T.; Neugebauer, J.; Drautz, R.: First-principles study on the interaction of H interstitials with grain boundaries in alpha- and gamma-Fe. Physical Review B 84 (14), pp. 144121-1 - 144121-13 (2011)
Ismer, L.; Ireta, J.; Neugebauer, J.: A density functional theory based estimation of the anharmonic contributions to the free energy of a polypeptide helix. Journal of Chemical Physics 135 (8), pp. 084122-1 - 084122-7 (2011)
Ismer, L.; Ireta, J.; Neugebauer, J.: First principles free energy analysis of helix stability: The origin of the low entropy in pi-helices. Journal of Physical Chemistry B 112, pp. 4109 - 4112 (2008)
Grabowski, B.; Ismer, L.; Hickel, T.; Neugebauer, J.: Ab initio concepts for an efficient and accurate determination of thermodynamic properties up to the melting point. Calphad XXXIX, Jeju Island, South Korea (2010)
Aydin, U.; Ismer, L.; Hickel, T.; Neugebauer, J.: Chemical trends of the solution enthalpy of hydrogen in 3d transition metals in dilute limit, derived from first principles. DPG Frühjahrstagung 2010, Regensburg, Germany (2010)
Grabowski, B.; Ismer, L.; Hickel, T.; Neugebauer, J.: Computing Ab Initio Free Energy Contributions of Point Defects. 139th Annual Meeting of the Minerals, Metals and Materials Society (TMS), Seattle, WA, USA (2010)
Aydin, U.; Ismer, L.; Hickel, T.; Neugebauer, J.: Chemical trends for the solution enthalpy of hydrogen in 3d transition metals. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Grabowski, B.; Ismer, L.; Hickel, T.; Neugebauer, J.: Ab initio up to the melting point: Efficient sampling strategies of anharmonic free energies. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Friák, M.; Sob, M.; Kim, O.; Ismer, L.; Neugebauer, J.: Ab initio calculation of phase boundaries in iron along the bcc-fcc transformation path and magnetism of iron overlayers. Seminar at the Department of Materials Physics at Montan Universität Leoben, Leoben, Austria (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
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.
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…
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…