Glensk, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: CALPHAD assessments using T > 0K ab initio data: From quasiharmonic to local anharmonic approximation. CALPHAD 2015, Loano, Italy (2015)
Opahle, I.; Madsen, G. K. H.; Dorigo, M.; Bera, C.; Glensk, A.; Drautz, R.: High-throughput density functional screening of thermoelectric materials. Evaluation ICAMS 2013, Bochum, Germany (2013)
Glensk, A.: Anharmonic contributions to ab initio computed thermodynamic material properties. Dissertation, University of Paderborn, Paderborn, 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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.