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Sergey Matveev

Professor: Ivan Oseledets

Specialist’s degree in Mathematics and System programming, Lomonosov Moscow State University (2015)
Candidate of Science in Physics and Mathematics, defended in Marchuck Institute of Numerical Mathematics, RAS (2018)
Post-graduate diploma of Lomonosov Moscow State University (2018)

Sergey received his Specialist’s degree in Mathematics and System Programming from Lomonosov Moscow State University. As a research student he worked in Marchuk Institute of Numerical Mathematics RAS on elaboration and analysis of new fast numerical methods solving multidimensional Smoluchowski coagulation equation under guidance of prof. Eugene Tyrtyshnikov. In addition, he participated in elaboration of novel semiclassical Monte-Carlo methods modelling the non-adiabatic molecular dynamics at Los Alamos National Laboratory under guidance of Dmitry Mozyrsky in 2014, 2015 and 2016.

In 2015-2016 Sergey was a junior research scientist at CEE CREI working on elaboration of efficient computational tools for the molecular modelling.  In addition to research and programming duties Sergey has also helped to establish new computing cluster for CEE and optimize use of the existing computing facilities.

Since 2017 Sergey works as a member of group of Prof. Ivan Oseledets on research project devoted to monitoring of soil fertility factors and the analysis of the transformation of soil organic matter. During vacation time from Skoltech Sergey was 6-week visitor of CEES (Univ. of Oslo) and participated in joint Russian-Norway project devoted to mathematical modelling of Atlantic cod population dynamics.  In 2018 he defended Candidate of Science thesis (PhD equivalent) in Marchuck Institute of Numerical Mathematics devoted to elaboration and justification of the fast numerical methods for Smoluchowski-typed equations.

Monitoring of soil fertility factors and the analysis of the transformation of soil organic matter

  1. Matveev SA, Krapivsky PL, Smirnov AP, Tyrtyshnikov EE, Brilliantov NV. Oscillations in aggregation-shattering processes. Physical Review Letters. 2017 Dec 28;119(26):260601.
  2. R. R. Zagidullin, A. P. Smirnov, S. A. MatveevE. E. Tyrtyshnikov,  An efficient numerical method for a mathematical model of a transport of coagulating particles, Moscow Univ. Comput. Math. Cybern. (2017) 41: 179.
  3.  SA Matveev, VI Stadnichuk, EE Tyrtyshnikov, AP Smirnov, NV Ampilogova, NV Brilliantov,  Anderson acceleration method of finding steady-state particle size distribution for a wide class of aggregation-fragmentation models, Computer Physics Communications, 2017
  4. Smirnov A. P., Matveev S. A., Zheltkov D. A., Tyrtyshnikov E. E., Fast and Accurate Finite-difference Method Solving Multicomponent Smoluchowski Coagulation Equation with Source and Sink Terms, Procedia Computer Science 80 (2016), 2141–2146

  5. Matveev S. A., Zheltkov D. A., Tyrtyshnikov E. E., Smirnov A. P., “Tensor train versus Monte Carlo for the multicomponent Smoluchowski coagulation equation.”Journal of Computational Physics 316 (2016): 164-179

  6. Matveev S. A., A Parallel Implementation of a Fast Method for Solving the Smoluchowski-Type Kinetic Equations of Aggregation and Fragmentation processes, Numerical methods and programming (Scientific on-line open access journal ), Vol. 16, p. 360 – 368, 2015.

  7. Matveev S. A., Smirnov A. P., Tyrtyshnikov E. E.. “A fast numerical method for the Cauchy problem for the Smoluchowski equation.” Journal of Computational Physics 282 (2015): 23-32.

  8. S. A. Matveev, E. E. Tyrtyshnikov, A. P. Smirnov, N. V. Brilliantov, “A fast numerical method for solving the Smoluchowski-type kinetic equations of aggregation and fragmentation processes”, Numerical methods and programming (Scientific on-line open access journal ), Vol. 15:1 (2014), 1–8

2015 — Gold medal of Russian Academy of Sciences for the best student research work in mathematics

2015 — First prize in diploma competition of the faculty of Computational Mathematics and Cybernetics of Lomonosov Moscow State University

2017 — Governmental stipend for successful PhD-students