Todorova, M.: Selective stabilization of polar oxide surfaces in electrochemical environment. Workshop: The Electrode Potential in Electrochemistry - A Challenge for Electronic Structure Theory Calculations, Schloß Reisensburg, Günzburg, Germany (2017)
Todorova, M.: Free energy sampling for electrochemical systems. Workshop II: Stochastic Sampling and Accelerated Time Dynamics on Multidimensional Surfaces, IPAM, UCLA, Los Angeles, CA, USA (2017)
Todorova, M.: Ab-initio modelling of electrochemical processes: Challenges and insights. Workshop: Fundamental Electrochemistry: Theory Meets Experiment, Leiden, The Netherlands (2017)
Todorova, M.: From semiconductor defect chemistry to electrochemistry: Insight into corrosion mechanisms from ab initio concepts. 57 Sanibel Symposium, St. Simon Island, GA, USA (2017)
Todorova, M.: From semiconductor defect chemistry to electrochemistry: Gaining new insights from computational physics tools. ICCP10 Conference , Macao, China (2017)
Todorova, M.: Oxide stability and defect chemistry in an electrochemical environment: an ab initio perspective. Workshop 2016 der DFG-Forschergruppe 1376 “Elementary reaction steps in electrocatalysis: Theory meets experiment“, Reisensburg, Günzburg, Germany (2016)
Surendralal, S.; Todorova, M.; Neugebauer, J.: Automated calculations for charged point defects in MgO and α-Fe2O3. DPG-Frühjahrstagung 2016, Regensburg, Germany (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)
Todorova, M.: Electrochemistry from the perspective of semiconductor defect chemistry: New tools and insights. Psi-k Conference, San Sebastian, Spain (2015)
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)
Todorova, M.: Thermodynamic stability of bulk oxides and their defects in an electrochemical environment. 5th Sino-German Symposium, Changchun, China (2015)
Todorova, M.: From semiconductor defect chemistry to electrochemisty: New tools and insights. Workshop “Enabling methods for materials innovation: From quantum to mesoscale”, Gainesville, FL, USA (2015)
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
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…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
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…