Hickel, T.; Grabowski, B.; Ismer, L.; Neugebauer, J.: Role of Atomistic Simulations in the Prediction of Thermodynamic Properties of Materials. Workshop on Multi-Scale Computational Materials Design of Structural Materials, POSCO international center, Pohang, South Korea (2009)
Nazarov, R.; Ismer, L.; Hickel, T.; Neugebauer, J.: Wasserstoff in X-IP Stahl (ab initio) Einfluss von Defekten auf die Energetik und Dynamik von Wasserstoff in Manganstählen. X-IP Workshop, Dortmund, Germany (2009)
Aydin, U.; Ismer, L.; Hickel, T.; Neugebauer, J.: Universal trends for the solubility of hydrogen in non-magnetic 3d transition metals derived from first principles. DPG Spring meeting, Dresden, Germany (2009)
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)
Todorova, M.; Ismer, L.; Neugebauer, J.: Role of anharmonic contributions for the elasticity of ice. Fruehjahrstagung der Deutschen Physikalischen Gesellschaft, Dresden, Germany (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)
Aydin, U.; Ismer, L.; Hickel, T.: Ab initio study of trends in the thermodynamic and kinetic properties of H in 3d transition metals. Computational Materials Science Workshop, Ebernburg Castle, Germany (2008)
Ismer, L.; Ireta, J.; Neugebauer, J.: First principles study of vibrational and thermodynamic properties of the secondary structure of proteins. Computational Materials Science Workshop, Ebernburg Castle, Germany (2008)
Grabowski, B.; Ismer, L.; Hickel, T.; Neugebauer, J.: Ab initio up to the melting point: An efficient thermodynamic integration scheme. Computational Materials Science Workshop, Ebernburg Castle, Germany (2008)
Friák, M.; Sob, M.; Kim, O.; Ismer, L.; Neugebauer, J.: Ab initio study of the alpha-iron stability limits. Ab initio Description of Iron and Steel: Magnetism and Phase diagrams (ADIS 2008), Ringberg castle, Tegernsee, Germany (2008)
Grabowski, B.; Ismer, L.; Hickel, T.; Neugebauer, J.: Ab initio up to the melting point: Influence of vacancies and explicit anharmonicity. International Workshop on Ab initio Description of Iron and Steel (ADIS2008), Ringberg Castle, Germany (2008)
Ismer, L.; Friák, M.; Hickel, T.; Neugebauer, J.: Effect of interstitial carbon on the magnetic structure of fcc iron: Towards an ab-initio simulation of austenitic steels. International Workshop on Ab initio Description of Iron and Steel (ADIS2008), Ringberg Castle, 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)
Ismer, L.; Ireta, J.; Neugebauer, J.: Why are pi-helices so seldomly observed in proteins. Spring meeting of the German Physical Society (DPG), Regensburg, Germany (2007)
Ismer, L.; Ireta, J.; Neugebauer, J.: Vibrational modes and thermodynamic properties of the secondary structure of proteins. 1. Harzer Ab initio Workshop, Clausthal (2006)
Ismer, L.; Ireta, J.; Neugebauer, J.: On the balance of enthaplic and entropic contributions to the stability of the helix. Spring Meeting of the Division Condensed Matter, Dresden, Germany (2006)
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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
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…