Thissen, P.; Özcan, Ö.; Diesing, D.; Grundmeier, G.: Monte Carlo Simulation of Temperature Programmed Desorption Including Binding Energies and Frequency Factors Derived by DFT Calculations. 43rd Symposium on Theoretical Chemistry, Saarbrücken, Germany (2007)
Thissen, P.; Giza, M.; Grundmeier, G.: Adsorptionskinetik von Organophosphonsäure auf plasmamodifizierten Aluminiumoberflächen. 13. Bundesdeutsche Fachtagung für Plasmatechnologie, Bochum, Germany (2007)
Thissen, P.: Adsorption and Self-Organization of Organophosphonic Monolayers on Modi ed Oxide Covered Surfaces. Dissertation, Universitat Paderborn, Fakultät für Naturwissenschaften, Paderborn, Germany (2009)
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…