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)
Körmann, F.; Dick, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: Towards a First-Principles Understanding of the Iron Phase Diagram. 139th Annual Meeting of the Minerals, Metals and Materials Society (TMS), Seattle, WA, USA (2010)
Abbasi, A.; Dick, A.; Hickel, T.; Neugebauer, J.: First principles calculations of the stacking fault energies for Mn and Fe. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (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)
Dick, A.; Hickel, T.; Neugebauer, J.: Stacking fault properties in high-Mn steels: An ab initio study. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Körmann, F.; Dick, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: Ab initio determination of the magnetic free energy contribution of metallic systems. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Polarization-induced charge carrier separation in realistic polar and nonpolar GaN quantum dots. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Tillack, N.; Hickel, T.; Raabe, D.; Neugebauer, J.: Kinetic Monte Carlo simulations and ab initio studies of nano-precipitation in ferritic steels. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Zhu, L.-F.; Dick, A.; Friák, M.; Hickel, T.; Neugebauer, J.: First principles study of thermodynamic, structural and elastic properties of eutectic Ti-Fe alloys. 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)
Hickel, T.; Uijttewaal, M.; Al-Zubi, A.; Neugebauer, J.: Ab initio simulation of magnetic shape memory alloys: The interplay of magnetic and vibrational degrees of freedom. Oberseminar: Ultraschnelle Dynamik in Festkörpern und an Grenzflächen, Fakultät für Physik, Universtität Duisburg-Essen, Duisburg, Germany (2010)
Hickel, T.; Neugebauer, J.: Simulation tools for ab initio steel design. CM Special Workshop on "Ab initio Description of Iron, Steel and Related Materials", MPIE, Düsseldorf, Germany (2009)
Nazarov, R.; 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)
Dick, A.; Hickel, T.; Neugebauer, J.: Ab Initio Interfacial Austenite/Martensite Energies for Accurate Stacking Fault Energy Calculations in High-Mn Steels. Materials Research Society 2010 Fall Meeting, Boston, MA, USA (2009)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Polarization-induced charge carrier separation in realistic polar and nonpolar grown GaN quantum dots. Collaborative Conference on Interacting Nanostructures CCIN'09, San Diego, CA, USA (2009)
Hickel, T.; Al-Zubi, A.; Neugebauer, J.: Ab initio investigation of temperature dependent effects in magnetic shape memory Heusler alloys. SPP1239 Fokustreffen A "Fundamentals", Bonn, Germany (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
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…