Vatti, A. K.; Todorova, M.; Neugebauer, J.: Ab Initio Determined Phase Diagram of Clean and Solvated Muscovite Mica Surfaces. Langmuir 32 (4), pp. 1027 - 1033 (2016)
Vatti, A. K.; Todorova, M.; Neugebauer, J.: Ab initio Determination of Formation Energies and Charge Transfer Levels of Charged Ions in Water. APS 2016, Baltimore, MD, USA (2016)
Vatti, A. K.; Todorova, M.; Neugebauer, J.: Formation Energy of Ions in Water using ab-initio Molecular Dynamics. DPG Frühjahrstagung 2016, Regensburg, Germany (2016)
Vatti, A. K.; Todorova, M.; Neugebauer, J.: Formation Energy of Halide ions (Cl/Br/I) in water from ab-initio Molecular Dyna. Psi-k 2015 Conference, San Sebastián, Spain (2015)
Vatti, A. K.; Todorova, M.; Neugebauer, J.: Formation Energy of ions in water: An ab initio molecular dynamics study. 2nd German-Austrian Workshop on "Computational Materials Science on Complex Energy Landscapes", Kirchdorf, Austria (2015)
Vatti, A. K.; Todorova, M.; Neugebauer, J.: Modelling Mica from first-principles. 1st Dutch/German Workshop on Computational Materials Design, Balk, The Netherlands (2013)
Vatti, A. K.; Todorova, M.; Neugebauer, J.: Formation Energy of Zn-ions in water: An ab initio molecular dynamics study. ICMR Workshop - Workshop on Charged Systems and Solid/Liquid Interfaces, University of California , Santa Barbara, USA (2015)
Vatti, A. K.; Todorova, M.; Neugebauer, J.: Formation Energy of Zn-ions in water: An ab initio molecular dynamics study. ICMR Workshop - Advances in oxide materials: Preparation, properties, performance, University of California, Santa Barbara, CA, USA (2014)
Vatti, A. K.: An ab initio study of muscovite mica and formation energy of ions in liquid water. Dissertation, Fakultät für Maschinenbau der Ruhr-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
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…
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…