Shah, V.; Sedighiani, K.; Van Dokkum, J. S.; Bos, C.; Roters, F.; Diehl, M.: Coupling crystal plasticity and cellular automaton models to study meta- dynamic recrystallization during hot rolling at high strain rates. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 849, 143471 (2022)
Shah, V.; Krugla, M.; Offerman, S. E.; Sietsma, J.; Hanlon, D. N.: Effect of silicon, manganese and heating rate on the ferrite recrystallization kinetics. ISIJ International 60 (6), pp. 1312 - 1323 (2020)
Shah, V.; Diehl, M.; Roters, F.: Prediction of Nucleation Sites for Recrystallization using Crystal Plasticity Simulations. 7th International Conference on Recrystallization and Grain Growth, Ghent, Belgium (2019)
Shah, V.; Diehl, M.; Roters, F.: Prediction of Nucleation Sites During Recrystallization. M2i conference “Meeting Materials”, Noordwijkerhout, The Netherlands (2018)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
Start of a collaborative research project on the sustainable production of manganese and its alloys being funded by European Union with 7 million euros