Tehranchi, A.; Zhou, X.; Curtin, W. A.: A decohesion pathway for hydrogen embrittlement in nickel: Mechanism and quantitative prediction. Acta Materialia 185, pp. 98 - 109 (2020)
Tehranchi, A.; Curtin, W. A.: The role of atomistic simulations in probing hydrogen effects on plasticity and embrittlement in metals. Engineering Fracture Mechanics 216, 106502 (2019)
Leyson, G.; Curtin, W. A.: Solute strengthening at high temperatures. Modelling and Simulation in Materials Science and Engineering 24 (6), 065005 (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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.