Research Interests
- Development of efficient machine learning-based methods for atomistic simulations using our package MLatom. Development of the most accurate and consistent NDDO-based semiempirical quantum chemical methods. Development of hybrid machine learning/quantum chemical approaches. Application of a wide range of quantum chemical methods to real-world physicochemical problems.
Curriculum Vitae
- 2021-, Professor, Xiamen University
- 2019-2021, Associate Professor, Xiamen University
- 2013-2019, Postdoc, Max-Planck-Institut für Kohlenforschung
- 2010-2013, PhD, University of Erlangen-Nürnberg
- 2008-2010, MS, University of Erlangen-Nürnberg
- 2008-2010, Mag., National Technical University of Ukraine
- 2004-2008, BS, National Technical University of Ukraine