Biedermann, P. U.; Flechtner, K.-D.: Towards a Thermodynamic Theory of Electrochemical Reactions in Aqueous Media. A DFT Study of the Intermediates of Oxygen Reduction. 46th Symposium on Theoretical Chemistry, STC2010, Münster, Germany (2010)
Biedermann, P. U.; Flechtner, K.-D.: Theoretical Insights into the Mechanism of the Oxygen Reduction Reaction. Electrochemistry 2010, Ruhr-Universität Bochum, Bochum, Germany (2010)
Nayak, S.; Biedermann, P. U.; Erbe, A.: Spectroscopic Investigation of the Oxygen Reduction Reaction (ORR) on Semiconductor Surfaces. Electrochemistry 2010 - From microscopic understanding to global impact, Bochum, Germany (2010)
Nayak, S.; Biedermann, P. U.; Erbe, A.: Electrochemical oxygen reduction on semiconductor electrodes. 109th Annual meeting of the German Bunsen Society of Physical Chemistry (Bunsentagung), Bielefeld, Germany (2010)
Hamou, R. F.; Biedermann, P. U.; Rohwerder, M.; Blumenau, A. T.: FEM Simulation of the Scanning Electrochemical Potential Microscopy (SECPM). 2nd IMPRS-SurMat Workshop in Surface and Interface Engineering in Advanced Materials, Ruhr-Universität Bochum, Bochum, Germany (2008)
Torres, E.; Biedermann, P. U.; Blumenau, A. T.: A DFT study of Alkanethiol adsorption sites on Au(111) surfaces. 2nd IMPRS-SurMat Workshop in Surface and Interface Engineering in Advanced Materials, Ruhr-Universität Bochum, Bochum, Germany (2008)
Biedermann, P. U.; Torres, E.; Laaboudi, L.; Isik-Uppenkamp, S.; Rohwerder, M.; Blumenau, A. T.: Cathodic Delamination by a Combined Computational and Experimental Approach: The Aklylthiol/Gold Model System. Multiscale Material Modeling of Condensed Matter, MMM2007, St. Feliu de Guixols, Spain (2007)
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
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
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…
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.