I am a Research Fellow working in the field of computational material science. I am interested in application and development of simulation methods bridging different length and time scales. Recently I have been working on incorporating methods of reproducible research, uncertainty quantification and machine learning in multiscale modelling approach.
I am from Saint-Petersburg and obtained my master degree in Physics from Peter the Great St. Petersburg Polytechnic University in 2012. The same year I enrolled in a Ph.D. program shared between Ghent University and Complutense University of Madrid within the framework of Erasmus Mundus FUSION-DC. However I spent most of my time at Belgian Nuclear Research Centre SCK•CEN in Mol, Belgium working on my research project together with Structural Materials expert group.
I defended my Ph.D. in April 2017 and, shortly after that, joined Warwick Centre for Predictive Modelling as a Research Fellow. In December 2020 I started as a postdoc at the Départment Théorie et Simulation Numérique of Centre Interdisciplinaire de Nanoscience de Marseille (CINaM).
|Dec 6, 2021||Exciting results on ab initio-machine learning coupling are published in a preprint.|
|Oct 21, 2021||A new paper on machine learning potentials for W and Fe is available online!|
|Apr 16, 2021||Significant update of matscipy dislocation module with plenty of new functions.|
|Jan 18, 2021||Updated version of ForceQMMM calculator is now available in Atomic Simulation Environment.|
|Dec 1, 2020||I moved to Marseille!|
- PhysRevHybrid quantum/classical study of hydrogen-decorated screw dislocations in tungsten: Ultrafast pipe diffusion, core reconstruction, and effects on glide mechanismPhys. Rev. Materials 2020
- PhD ThesisAssessment of retention of plasma components in tungsten under high flux plasma exposure: multi-scale modelling approachPhD Thesis 2017