Grabowski, B.; Wippermann, S. M.; Glensk, A.; Hickel, T.; Neugebauer, J.: Random phase approximation up to the melting point: Impact of anharmonicity and nonlocal many-body effects on the thermodynamics of Au. DPG Spring Meeting 2015, Berlin, Germany (2015)
Neugebauer, J.: Quantum mechanical design of structural materials on the computer. Colloquium at Heinrich Heine Universität Düsseldorf, Düsseldorf, Germany (2015)
Neugebauer, J.: Introduction to density functional Theory from a materials science perspective. ICAMS course “Multiscale Modelling”, Bochum, Germany (2015)
Dey, P.; Nazarov, R.; Yao, M.; Friák, M.; Hickel, T.; Neugebauer, J.: Adaptive C content in coherently strained kappa-carbides - An ab initio explanation of atom probe tomography data. 2nd German-Austrian Workshop on "Computational Materials Science on Complex Energy Landscapes", Kirchdorf, Austria (2015)
Dutta, B.; Körmann, F.; Hickel, T.; Neugebauer, J.: The itinerant coherent potential approximation for phonons: Role of fluctuations for systems with magnetic disorder. 2nd German-Austrian Workshop, Kirchdorf, Austria (2015)
Gupta, A.; Dutta, B.; Hickel, T.; Neugebauer, J.: Thermodynamic phase stability in the Al–Sc system using first principles methods. 2nd German-Austrian Workshop on "Computational Materials Science on Complex Energy Landscapes", Kirchdorf, Austria (2015)
Hickel, T.; Nazarov, R.; McEniry, E.; Dey, P.; Neugebauer, J.: Ab initio insights into the interaction of hydrogen with precipitates in steels. Workshop on Hydrogen Embrittlement and Sour Gas Corrosion 2015, Düsseldorf, Germany (2015)
Neugebauer, J.: Ab Initio Thermodynamics: A Novel Route to Design Structural Materials with Superior Mechanical Properties. TMS-MEMA Conference, Doha, Katar (2015)
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…