Harandi, A.; Rezaei, S.; Aghda, S. K.; Du, C.; Brepols, T.; Dehm, G.; Schneider, J. M.; Reese, S.: Numerical and experimental studies on crack nucleation and propagation in thin films. International Journal of Mechanical Sciences 258, 108568 (2023)
Rezaei, S.; Mianroodi, J. R.; Brepols, T.; Reese, S.: Direction-dependent fracture in solids: Atomistically calibrated phase-field and cohesive zone model. Journal of the Mechanics and Physics of Solids 147, 104253 (2021)
Bai, Y.; Santos, D. A.; Rezaei, S.; Stein, P.; Banerjee, S.; Xu, B.-X.: A chemo-mechanical damage model at large deformation: numerical and experimental studies on polycrystalline energy materials. International Journal of Solids and Structures 228, 111099 (2021)
Rezaei, S.; Mianroodi, J. R.; Khaledi, K.; Reese, S.: A nonlocal method for modeling interfaces: Numerical simulation of decohesion and sliding at grain boundaries. Computer Methods in Applied Mechanics and Engineering 362, 112836 (2020)
Fernández, M.; Rezaei, S.; Mianroodi, J. R.; Fritzen, F.; Reese, S.: Application of artificial neural networks for the prediction of interface mechanics: a study on grain boundary constitutive behavior. Advanced Modeling and Simulation in Engineering Sciences 7, 1 (2020)
Rezaei, S.; Jaworek, D.; Mianroodi, J. R.; Wulfinghoff, S.; Reese, S.: Atomistically motivated interface model to account for coupled plasticity and damage at grain boundaries. Journal of the Mechanics and Physics of Solids 124, pp. 325 - 349 (2019)
Rezaei, S.; Mianroodi, J. R.; Brepols, T.; Wulfinghoff, S.; Reese, S.: An interface model to account for damage and plasticity at grain boundaries. Proceedings of Applied Mathematics and Mechanics, Special Issue: 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) 19 (1), e201900214, (2019)
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
Hydrogen in aluminium can cause embrittlement and critical failure. However, the behaviour of hydrogen in aluminium was not yet understood. Scientists at the Max-Planck-Institut für Eisenforschung were able to locate hydrogen inside aluminium’s microstructure and designed strategies to trap the hydrogen atoms inside the microstructure. This can…
Developing and providing accurate simulation techniques to explore and predict structural properties and chemical reactions at electrified surfaces and interfaces is critical to surmount materials-related challenges in the context of sustainability, energy conversion and storage. The groups of C. Freysoldt, M. Todorova and S. Wippermann develop…