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)
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
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.
New product development in the steel industry nowadays requires faster development of the new alloys with increased complexity. Moreover, for these complex new steel grades, it is more challenging to control their properties during the process chain. This leads to more experimental testing, more plant trials and also higher rejections due to…
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…
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…
Advanced microscopy and spectroscopy offer unique opportunities to study the structure, composition, and bonding state of individual atoms from within complex, engineering materials. Such information can be collected at a spatial resolution of as small as 0.1 nm with the help of aberration correction.