Born in Odessa 1982, he graduated in Mathematics in 2006 from the Technical University in Munich (Germany). Afterwards, he completed PhD in Computation Materials Science at the Delft University of Technology (Netherlands) in 2010, and currently, he is working in the field of combustion modelling. He has gathered experience from a large number of research projects covering such topics as conducting polymers, nanomaterials, fuel cells, inverse problems, fatigue failure prediction, combustion modelling. He is (co)author of 12 heavily cited scientific publications.
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Masters in Mathematics and in Computer Science;
PhD in Computational Materials Science.
schapotschnikow doesn't have any qualifications listed.
The company I'm currently working for develops and applies tools for turbulent combustion modeling. In this field, tasks from almost every branch of scientific computing emerge at some point. Solid understanding of physical chemistry and common sense are absolutely necessary to evaluate the results.
Scientific computing (Computational science)
Computational fluid dynamics
Using methods from computational statistics that I learned during graduate years, I have been busy predicting properties of new materials. To understand the findings, I learned the fundamentals of the main areas of physical chemistry: Thermodynamics, Kinetics, Quantum Chemistry.
All areas of applied Mathematics, including numerical analysis (scientific computing); statistics; optimization; mathematical modeling; dynamical systems; machine learning.
Computing in Mathematics, Natural sciences, Engineering and Medicine
schapotschnikow doesn't have any experiences listed.