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)
Todorova, M.; Neugebauer, J.: Connecting semiconductor defect chemistry with electrochemistry: Impact of the electrolyte on the formation and concentration of point defects in ZnO. Surface Science 631, pp. 190 - 195 (2015)
Todorova, M.; Neugebauer, J.: Extending the concept of defect chemistry from semiconductor physics to electrochemistry. Physical Review Applied 1 (1), 014001 (2014)
Soon, A.; Wong, L.; Lee, M.; Todorova, M.; Delley, B.; Stampfl, C.: Nitrogen adsorption and thin surface nitrides on Cu(111) from first-principles. Surface Science 601, pp. 4775 - 4785 (2007)
Kenmoe, S.; Todorova, M.; Biedermann, P. U.; Neugebauer, J.: Impact of the vapour pressure of water on the equilibrium shape of ZnO nanoparticles: An ab-initio study. In APS March Meeting 2014, abstract #Q2.009. APS March Meeting 2014 , Denver, CO, USA, March 03, 2014 - March 07, 2014. (2014)
Kenmoe, S.; Todorova, M.; Biedermann, P. U.; Neugebauer, J.: Impact of the vapour pressure of water on the equilibrium shape of ZnO nanoparticles: An ab-initio study. In DPG Spring Meeting 2014, Abstract: O50.6. DPG Spring Meeting 2014 , Dresden, Germany, March 30, 2014 - April 04, 2015. (2014)
Todorova, M.; Surendralal, S.; Deißenbeck, F.; Wippermann, S. M.; Neugebauer, J.: Atomic insights into fundamental processes at electrochemical solid/liquid interface by ab initio calculations. 38th Topical Meeting of the International Society of Electrochemistry: Nanomaterials in Electrochemistry, Manchester, UK (2024)
Todorova, M.: Future directions in materials from modelling. Future directions in materials research in Europe organised by the Materials Australia VIC-TAS Branch/RMIT Europe, Online (2024)
Todorova, M.; Surendralal, S.; Deißenbeck, F.; Wippermann, S. M.; Neugebauer, J.: Ab Initio Calculations for electrified solid/liquid interfaces – Challenges, insights and Opportunities. GRC Aqueous Corrosion: Corrosion Challenges and Opportunities for the Energy Transition, New London, NH, USA (2024)
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
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…