Zhang, X.; Hickel, T.; Rogal, J.; Drautz, R.; Neugebauer, J.: Atomistic origin of structural modulations in Fe ultrathin film and impact for structural transformations in Fe–C alloys. ADIS Workshop 2014, Ringberg, Germany (2014)
Surendralal, S.: Development of an ab initio computational potentiostat and its application to the study of Mg corrosion. Dissertation, Ruhr Universität Bochum (2020)
Vatti, A. K.: An ab initio study of muscovite mica and formation energy of ions in liquid water. Dissertation, Fakultät für Maschinenbau der Ruhr-Universität Bochum, Bochum, Germany (2016)
Kenmoe, S.: Ab Initio Study of the Low-Index Non-Polar Zinc Oxide Surfaces in Contact with Water: from Single Molecules to Multilayers. Dissertation, Fakultät für Physik und Astronomie der Ruhr-Universität Bochum, Bochum, Germany (2015)
Sözen, H. I.: Ab initio investigations on the energetics and kinetics of defects in Fe–Al alloys. Master, Ruhr-Universität Bochum, Bochum, Germany (2014)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…