Cereceda, D.; Diehl, M.; Roters, F.; Raabe, D.; Perlado, J. M.; Marian, J.: Unraveling the temperature dependence of the yield strength in single-crystal tungsten using atomistically-informed crystal plasticity calcula- tions. International Journal of Plasticity 78, pp. 242 - 265 (2016)
Cereceda, D.; Diehl, M.; Roters, F.; Raabe, D.; Perlado, J. M.; Marian, J.: Understanding the Plastic Behavior of Tungsten From First Principles to Crystal Plasticity. International Mechanical Engineering Congress & Exposition (IMECE) 2019, Salt Lake City, UT, USA (2019)
Marian, J.; Cereceda, D.; Diehl, M.; Roters, F.; Raabe, D.: Unraveling the temperature dependence of the yield strength of tungsten single crystals using atomistically-informed crystal plasticity. 8th International Conference on Multiscale Materials Modeling, MMM2016, Dijon, France (2016)
Cereceda, D.; Diehl, M.; Roters, F.; Raabe, D.; Marian, J.: Unraveling the temperature dependence of the yield strength in BCC metals from atomistically-informed crystal plasticity calculation. Dislocations 2016, Purdue University, West Lafayette, IN, USA (2016)
Cereceda, D.; Diehl, M.; Roters, F.; Raabe, D.; Perlado, J. M.; Marian, J.: An atomistically-informed crystal plasticity model to predict the temperature dependence of the yield strength of single-crystal tungsten. XXV International Workshop on Computational Micromechanics of Materials, Bochum, Germany (2015)
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
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