Schneider, W. B.; Benedikt, U.; Auer, A. A.: Interaction of platinum nanoparticles with graphitic carbon structures: A computational study. ChemPhysChem 14 (13), pp. 2984 - 2989 (2013)
Kettner, M.; Benedikt, U.; Schneider, W.; Auer, A. A.: Computational Study of Pt/Co Core-Shell Nanoparticles: Segregation, Adsorbates and Catalyst Activity. Journal of Physical Chemistry C 116 (29), pp. 15432 - 15438 (2012)
Auer, A. A.; Richter, A.; Berezkin, A. V.; Guseva, D. V.; Spange, S.: Theoretical study of twin polymerization – From chemical reactivity to structure formation. Macromolecular Theory Simulations 21 (9), pp. 615 - 628 (2012)
Benedikt, U.; Auer, A. A.; Espig, M.; Hackbusch, W.: Tensor decomposition in post-Hartree-Fock methods. I. Two-electron integrals and MP2. Journal of Chemical Physics 134 (5), 054118, pp. 1 - 12 (2011)
Berezkin, A. V.; Biedermann, P. U.; Auer, A. A.: Mesoscale simulation of network formation and structure, combining molecular dynamics and kinetic Monte Carlo approaches. European Polymer Congress 2011, Granada, Spain, June 26, 2011 - July 01, 2011. (2011)
Berezkin, A. V.; Biedermann, P. U.; Auer, A. A.: Mesoscale simulation of network formation and structure, combining molecular dynamics and kinetic Monte Carlo approaches. European Polymer Congress 2011, Granada, Spain (2011)
Challenges for Theory in Electrochemistry. Minisymposium "Challenges for Theory in Electrochemistry", MPI für Eisenforschung GmbH, Düsseldorf, Germany (2010)
Perspectives in Quantum chemistry for Electrochemistry. Minisymposium "Perspectives in Quantum chemistry for Electrochemistry", Center for Electrochemical Sciences, Ruhr-Universität Bochum, Germany (2010)
Benedikt, U.; Schneider, W.; Auer, A. A.: Oxygen Reduction Reaction on Pt-Nanoparticles: A Density-Functional Based Study. 46th Symposium on Theoretical Chemistry, STC2010, Münster, Germany (2010)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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 utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
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…
The field of micromechanics has seen a large progress in the past two decades, enabled by the development of instrumented nanoindentation. Consequently, diverse methodologies have been tested to extract fundamental properties of materials related to their plastic and elastic behaviour and fracture toughness. Established experimental protocols are…