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
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
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.
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…