Hickel, T.; Körmann, F.; Dick, A.; Neugebauer, J.: First principles simulation of thermodynamic properties of iron and iron-based alloys. Thermec'2009. International conference on processing & manufacturing of advanced materials, Berlin, Germany (2009)
Hickel, T.; Grabowski, B.; Körmann, F.; Dick, A.; Neugebauer, J.: The accuracy of first principles methods inpredicting thermodynamic properties of metals. XVIII International Material Research Conference, Cancun, Mexico (2009)
Neugebauer, J.; Grabowski, B.; Körmann, F.; Dick, A.; Hickel, T.: Ab Initio Thermodynamics: Status, applications and challenges. The second Sino-German Symposium on “Computational Thermodynamics and Kinetics and Their Applications to Solidification”, Kornelimünster/Aachen, Germany (2009)
Hickel, T.; Uijttewaal, M.; Grabowski, B.; Neugebauer, J.: First principles determination of phase transitions in magnetic shape memory alloys. 2nd Sino-German Symposium on Computational Thermodynamics and Kinetics and their Application to Solidification, Aachen, Germany (2009)
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)
Dick, A.; Hickel, T.; Neugebauer, J.: First Principles Predictions of Stacking Fault Properties in FeMn Alloys. Asia Steel Conference 2009, Busan, 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)
Hickel, T.; Uijttewaal, M.; Neugebauer, J.: First principles determination of phase transitions in magnetic shape memory alloys. DPG Spring Meeting 2009, 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)
Körmann, F.; Dick, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: The free energy of iron: Integrated ab initio derivation of vibrational, electronic, and magnetic contributions. DPG Spring Meeting 2009, Dresden, Germany (2009)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Application of an eight-band k.p model to study III-nitride semiconductor. DPG Spring Meeting 2009, Dresden, Germany (2009)
Hickel, T.; Uijttewaal, M.; Neugebauer, J.: First principles determination of phase transitions in magnetic shape memory alloys. APS March Meeting, Pittsburgh, PA, USA (2009)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Investigation of group III-nitride semiconductor nanostructures using an eight-band k.p formalism. APS March meeting, Pittsburgh, PA, USA (2009)
Hickel, T.; Uijttewaal, M.; Neugebauer, J.: Ab initio investigation of temperature dependent effects in magnetic shape memory Heusler alloys. SPP 1239 Convention, Duisburg, 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…