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
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…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
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.