Todorova, M.; Surendralal, S.; Neugebauer, J.: Building an ab-initio potentiostat in a standard DFT code with periodic boundary conditions. ELRC2019 - IPAM reuniuon workshop, Lake Arrowhead, CA, USA (2019)
Todorova, M.; Yoo, S.-H.; Surendralal, S.; Neugebauer, J.: A fully ab initio approach to modelling electrochemical solid/liquid interfaces. Chemiekolloquium der Johannes Kepler Universität Linz, Linz, Austria (2019)
Surendralal, S.: Implementation of an ab initio electrochemical potentiostat: Application to Mg corrosion. Symposium "Fundamentals of the electrochemistry of the metal/electrolyte interface", Imperial College, London, UK (2019)
Todorova, M.; Surendralal, S.; Neugebauer, J.: First-principles approach to model electrochemical reactions at the solid-liquid interface. Spring Meeting of the German Physical Society (DPG 2019), Regensburg, Germany (2019)
Neugebauer, J.; Surendralal, S.; Todorova, M.: Extending First-Principles Calculations to Model Electrochemical Reactions at the Solid-Liquid Interface. Towards Reality in Nanoscale Materials X, Levi, Finnland (2019)
Todorova, M.; Yoo, S.-H.; Surendralal, S.; Neugebauer, J.: Modelling electrochemical solid/liquid interfaces by first principles calculations. 19th International Workshop on Computational Physics and Material Science: Total Energy and Force Methods, ICTP, Trieste, Italy (2019)
Surendralal, S.; Todorova, M.; Neugebauer, J.: Automated calculations for charged point defects in MgO and α-Fe2O3. DPG-Frühjahrstagung 2016, Regensburg, Germany (2016)
Surendralal, S.; Todorova, M.; Finnis, M. W.; Neugebauer, J.: Effect of external electric fields on the Mg(0001)/H2O interface studied by empirical potentials using automated tools. The electrode potential in electrochemistry workshop - A challenge for electronic structure theory calculations, Castle Reisensburg (Ulm), Germany (2017)
Surendralal, S.; Todorova, M.; Neugebauer, J.: Effect of external electric fields on the Mg(0001)/H2O. High electric Fields in Electrochemistry and in Atom Probe Tomography - Workshop, Ringberg Castle, Tegernsee, Germany (2017)
Surendralal, S.; Todorova, M.; Neugebauer, J.: The Mg(0001)/H2O interface studied by empirical potentials and density functional. DPG-Frühjahrstagung 2017, Dresden, Germany (2017)
Surendralal, S.: Development of an ab initio computational potentiostat and its application to the study of Mg corrosion. Dissertation, Ruhr Universität Bochum (2020)
Surendralal, S.; Todorova, M.: Automated Calculations for Charged Point Defects in Magnesium Oxide and Iron Oxides. Master, Ruhr-Universität Bochum, GermanyRuhr-Universität Bochum, Bochum, Germany (2016)
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
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.