Nazarov, R.; Hickel, T.; Neugebauer, J.: Ab initio study of H-vacancy interactions in fcc metals: Implications for the formation of superabundant vacancies. Physical Review B 89 (14), 144108 (2014)
Nazarov, R.; Hickel, T.; Neugebauer, J.: First-principles study of the thermodynamics of hydrogen-vacancy interaction in fcc iron. Physical Review B 82 (22), pp. 224104-1 - 224104-11 (2010)
Hickel, T.; McEniry, E.; Nazarov, R.; Dey, P.: Ab initio basierte Simulation zur Wasserstoffversprödung in hoch-Mn Stählen. Seminar der Staatlichen Materialprüfungsanstalt Darmstadt, Institut für Werkstoffkunde, Darmstadt, Germany (2020)
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)
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)
Hickel, T.; Nazarov, R.; McEniry, E.; Dey, P.; Neugebauer, J.: Impact of light elements on interface properties in steels. CECAM workshop “Modeling Metal Failure Across Multiple Scales”, Lausanne, Switzerland (2014)
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
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…
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…