Dutta, B.; Körmann, F.; Hickel, T.; Neugebauer, J.: Impact of Co and Fe doping on the martensitic transformation and the magnetic properties in Ni–Mn-based Heusler alloys. Physica Status Solidi B, 1700455 , pp. 1 - 7 (2017)
Schwarze, C.; Gupta, A.; Hickel, T.; Kamachali, R. D.: Phase-field study of ripening and rearrangement of precipitates under chemomechanical coupling. Physical Review B 95 (17), 174101 (2017)
Dutta, B.; Opahle, I.; Hickel, T.: Interface effects on the magnetic properties of layered Ni2MnGa/Ni2MnSn alloys: A first-principles investigation. Functional Materials Letters 9 (6), 1642010 (2016)
Aksyonov, D. A.; Hickel, T.; Neugebauer, J.; Lipnitskii, A. G.: The impact of carbon and oxygen in alpha-titanium: ab initio study of solution enthalpies and grain boundary segregation. Journal of Physics: Condensed Matter 28 (38), 385001 (2016)
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
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.