Filiatraut, A. N.; Mianroodi, J. R.; Hamidi Siboni, N.; Zanjani, M. B.: Predicting micro/nanoscale colloidal interactions through local neighborhood graph neural networks. Journal of Applied Physics 134 (23), 234702 (2023)
Khorrami, M. S.; Mianroodi, J. R.; Svendsen, B.: Finite-deformation phase-field microelasticity with application to dislocation core and reaction modeling in fcc crystals. Journal of the Mechanics and Physics of Solids 164, 104897 (2022)
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)
Mianroodi, J. R.; Svendsen, B.: Effect of Twin Boundary Motion and Dislocation-Twin Interaction on Mechanical Behavior in Fcc Metals. Materials 13 (10), 2238 (2020)
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
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.