Biedermann, P. U.: Intermediates of the Electrochemical Oxygen Reduction in Aqueous Media. ICAMS-Seminar, Interdisciplnary Centre for Advanced Materials Simulation, Ruhr-Universität Bochum, Germany (2010)
Hamou, R. F.; Biedermann, P. U.; Erbe, A.; Rohwerder, M.: Numerical Investigation of Electrode Surface Potential Mapping with Scanning Electrochemical Potential Microscopy. The 12th International Scanning Probe Microscopy Conference, Sapporo, Japan (2010)
Hamou, R. F.; Biedermann, P. U.; Erbe, A.; Rohwerder, M.: Numerical simulation of probing the electric double layer by scanning electrochemical Potential microscopy. 217th ECS Meeting, Vancouver, Canada (2010)
Biedermann, P. U.: Electrochemical Oxygen Reduction in Aqueous Solution, A DFT Study of the Intermediates. NACE Corrosion 2010, San Antonio, TX, USA (2010)
Biedermann, P. U.: Theoretical Investigation of the Electrochemical Oxygen Reduction Mechanism. Minisymposium "Perspectives in Quantum chemistry for Electrochemistry", Ruhr-Universität Bochum, Germany (2010)
Hamou, R. F.; Biedermann, P. U.; Erbe, A.; Rohwerder, M.: Numerical simulation of probing the electric double layer by scanning electrochemical potential microscopy. International Workshops on Surface Modification for Chemical and Biochemical Sensing, Przegorzaly, Poland (2009)
Hamou, R. F.; Biedermann, P. U.; Erbe, A.; Rohwerder, M.: Screening effects in probing the double layer by scanning electrochemical potential microscopy. Comsol European Conference October 2009, Milan, Italy (2009)
Hamou, R. F.; Biedermann, P. U.; Erbe, A.; Rohwerder, M.: Simulation of probing the electric double layer by scanning electrochemical potential microscopy (SECPM). 11th International Fischer Symposium on Microscopy in Electrochemistry, Benediktbeuern, Germany (2009)
Hamou, R. F.; Biedermann, P. U.; Blumenau, A. T.: FEM Simulation of the Scanning Electrochemical Potential Microscopy (SECPM). SurMat Seminar, Schloß Gnadenthal, Kleve, Germany (2008)
Torres, E.; Biedermann, P. U.; Blumenau, A. T.: High density structures of ethyl-thiol SAM´s on Au(111): A DFT study. SurMat Seminar, Schloß Gnadenthal, Kleve, Germany (2008)
Torres, E.; Biedermann, P. U.; Blumenau, A. T.: The Role of Gold Adatoms in Self-Assembled Monolayers of Thiol on Au(111). 6th Congress of the International Society for Theoretical Chemical Physics, ISTCP-VI, University of British Columbia, Vancouver, Canada (2008)
Biedermann, P. U.; Blumenau, A. T.: Ab-Initio Calculation of the Standard Hydrogen Electrode Potential and Application to the Mechanism of the Oxygen Reduction. Workshop on Converging Theoretical and Experimental Approaches to Corrosion, MPIE, Düsseldorf, Germany (2007)
Blumenau, A. T.; Biedermann, P. U.; Torres, E.: Modelling adhesion and delamination at oxide/polymer interfaces. Multiscale Material Modeling of Condensed Matter, MMM2007, St. Feliu de Guixols, Spain (2007)
Biedermann, P. U.; Torres, E.; Blumenau, A. T.: Oxygen Reduction at Thiol/Au(111)SAMs, Atomistic Modelling and Experiment. 212th ECS Meeting, Washington, D.C., USA (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
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.
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…