Todorova, M.: Insights into electrochemical problems from the perspective of semiconductor defect chemistry. International Workshop on Computational Electrochemistry, Aalto University, Helsinki, Finland (2018)
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)
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
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.