Po, G.; Admal, N. C.; Svendsen, B.: Non-local Thermoelasticity Based on Equilibrium Statistical Thermodynamics. Journal of Elasticity 139, pp. 37 - 59 (2020)
Kochmann, J.; Wulfinghoff, S.; Ehle, L.; Mayer, J.; Svendsen, B.: Efficient and accurate two-scale FE-FFT-based prediction of the effective material behavior of elasto-viscoplastic polycrystals. Computational Mechanics 61, pp. 751 - 764 (2018)
Alipour, A.; Wulfinghoff, S.; Bayat, H. R.; Reese, S.; Svendsen, B.: The concept of control points in hybrid discontinuous Galerkin methods—Application to geometrically nonlinear crystal plasticity. International Journal for Numerical Methods in Engineering 114 (5), pp. 557 - 579 (2018)
Svendsen, B.; Shanthraj, P.; Raabe, D.: Finite-deformation phase-field chemomechanics for multiphase, multicomponent solids. Journal of the Mechanics and Physics of Solids 112, pp. 619 - 636 (2018)
Dusthakar, D. K.; Menzel, A.; Svendsen, B.: Laminate-based modelling of single and polycrystalline ferroelectric materials – application to tetragonal barium titanate. Mechanics of Materials 117, pp. 235 - 254 (2018)
Hütter, M.; Svendsen, B.: Formulation of strongly non-local, non-isothermal dynamics for heterogeneous solids based on the GENERIC with application to phase-field modeling. Materials Theory (1), 4, pp. 1 - 20 (2017)
Mianroodi, J. R.; Hunter, A. G. M.; Beyerlein, I. J.; Svendsen, B.: Theoretical and computational comparison of models for dislocation dissociation and stacking fault/core formation in fcc crystals. Journal of the Mechanics and Physics of Solids 95, pp. 719 - 741 (2016)
Kochmann, J.; Wulfinghoff, S.; Reese, S.; Mianroodi, J. R.; Svendsen, B.: Two-scale FE–FFT- and phase-field-based computational modeling of bulk microstructural evolution and macroscopic material behavior. Computer Methods in Applied Mechanics and Engineering 305, pp. 89 - 110 (2016)
Scientists at the Max Planck Institute for Sustainable Materials have developed a carbon-free, energy-saving method to extract nickel for batteries, magnets and stainless steel.
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