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)
Umate, K. S.; Bai, Y.; Svendsen, B.; Raabe, D.: Phase-field model for Hydrogen based direct reduction of iron oxides: Role of porosity. TMS - Algorithm Development in Materials Science and Engineering, Orlando, FL, USA (2024)
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
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…