Todorova, M.: Atomistic insights into surface stability and reactivity at solid/liquid interfaces from first principles calculations. Technical University Vienna, Vienna, Austria (2018)
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)
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
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
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…