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)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
The project focuses on development and design of workflows, which enable advanced processing and analyses of various data obtained from different field ion emission microscope techniques such as field ion microscope (FIM), atom probe tomography (APT), electronic FIM (e-FIM) and time of flight enabled FIM (tof-FIM).
This project will aim at addressing the specific knowledge gap of experimental data on the mechanical behavior of microscale samples at ultra-short-time scales by the development of testing platforms capable of conducting quantitative micromechanical testing under extreme strain rates upto 10000/s and beyond.
The development of pyiron started in 2011 in the CM department to foster the implementation, rapid prototyping and application of the highly advanced fully ab initio simulation techniques developed by the department. The pyiron platform bundles the different steps occurring in a typical simulation life cycle in a single software platform and…
This work led so far to several high impact publications: for the first time nanobeam diffraction (NBD) orientation mapping was used on atom probe tips, thereby enabling the high throughput characterization of grain boundary segregation as well as the crystallographic identification of phases.
Smaller is stronger” is well known in micromechanics, but the properties far from the quasi-static regime and the nominal temperatures remain unexplored. This research will bridge this gap on how materials behave under the extreme conditions of strain rate and temperature, to enhance fundamental understanding of their deformation mechanisms. The…
The prediction of materials properties with ab initio based methods is a highly successful strategy in materials science. While the working horse density functional theory (DFT) was originally designed to describe the performance of materials in the ground state, the extension of these methods to finite temperatures has seen remarkable…