Esakkiraja, N.; Gupta, A.; Jayaram, V.; Hickel, T.; Divinski, S. V.; Paul, A.: Diffusion, defects and understanding the growth of a multicomponent interdiffusion zone between Pt-modified B2 NiAl bond coat and single crystal superalloy. Acta Materialia 195, pp. 35 - 49 (2020)
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)
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)
Bajaj, P.; Gupta, A.; Jägle, E. A.; Raabe, D.: Precipitation kinetics during non-linear heat treatment in Laser Additive Manufacturing. International Conference on Advanced Materials and Processes, ‘ADMAT 2017’ SkyMat, Thiruvananthapuram, India (2017)
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
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.