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)
Gladkov, S.; Kochmann, J.; Reese, S.; Hütter, M.; Svendsen, B.: Thermodynamic Model Formulations for Inhomogeneous Solids with Application to Non-isothermal Phase Field Modelling. Journal of Non-Equilibrium Thermodynamics 41 (2), pp. 131 - 139 (2016)
Svendsen, B.; Hütter, M.: GENERIC-based coarse-graining of the dynamics of discrete dislocation line ensembles with variable orientation. Dislocation 2016, West Lafayette, IN, USA (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
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.