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Regular version of the site
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+7 (495) 772-95-90
Address: 34 Tallinskaya Ulitsa, room 428
ORCID: 0000-0001-8149-0483
ResearcherID: O-1703-2016
Scopus AuthorID: 8381708700
Google Scholar
A. V. Belov
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Evgeni Burovski

  • Evgeni Burovski has been at HSE University since 2016.

Education and Degrees

  • 2007

    PhD in Physics
    University of Massachusetts

  • 2001

    Master's in Applied Mathematics and Applied Physics
    Moscow Institute of Physics and Technology

  • 1999

    Bachelor's in Applied Mathematics and Applied Physics
    Moscow Institute of Physics and Technology

Awards and Accomplishments

Best Teacher – 2022, 2018, 2017

Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Lecturers" (2017)

Courses (2019/2020)

Courses (2018/2019)

Courses (2017/2018)






Article Virtanen P., Gommers R., Oliphant T. E., Haberland M., Reddy T., Cournapeau D., Burovski E., Peterson P., Weckesser W., Bright J., van der Walt S. J., Brett M., Wilson J., Millman K. J., Mayorov N., Nelson A. R., Jones E., Kern R., Larson E., Carey C., Polat I., Feng Y., Moore E. W., VanderPlas J., Laxalde D., Perktold J., Cimrman R., Hendriksen I., Quintero E., Harris C. R., Archibald A. M., Ribeiro A. H., Pedregosa F., van Mulbregt P., Scipy 1.0 Contributors .. SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python // Nature Methods. 2020. Vol. 17. P. 261-272. doi




Article Burovski E., Szyniszewski, M. The generalized t-V model in one dimension // Journal of Physics: Conference Series. 2015. Vol. 592. P. 012057. doi


Article Burovski E., Cheianov V., Gamayun O., Lychkovskiy O. Momentum relaxation of a mobile impurity in a one-dimensional quantum gas // Physical Review A: Atomic, Molecular, and Optical physics. 2014. Vol. 89. P. 041601. doi



Article Burovski E., Cheianov V., Falko V., Szyniszewski, M., Sherkunov Y. Thermodynamics of localized magnetic moments in a Dirac conductor // Physical Review B: Condensed Matter and Materials Physics. 2012. Vol. 86. No. 5. P. 054424. doi


Article Буровский Е. А., Jolicoeur T., Orso G. Multi-particle composites in density-imbalanced quantum fluids // Physical Review Letters. 2009. Т. 103. С. 215301. doi

Open Source

SciPy 0.18.1, http://doi.org/10.5281/zenodo.154391


Statistical Physics Can Help Uncover the Impact of Media on Decision Making

Students and researchers from HSE University and the Landau Institute for Theoretical Physics have examined the widely known ‘Prisoner’s Dilemma’ game using methods from statistical physics. They used the mean-field concept, a common tool for studying the physics of many-particle systems, to describe human decision-making processes. Researchers suggest that this model may be helpful for understanding systems with many participants. The results of the study are published in the September issue of the Physics Review Research journal.

MIEM HSE Researchers Present Newly Identified Features of Classical MC Algorithms at Workshop in Lausanne

A team of researchers of HSE University’s Tikhonov Moscow Institute of Electronics and Mathematics (Professor Lev Shchur, Assistant Professor Evgeny Burovsky, and doctoral student Maria Guskova), in collaboration with Prof. Wolfhard Janke (Leipzig University, Germany), has made a new discovery about the properties of classical Monte Carlo (MC) algorithms. The team identified an interesting connection between the properties of the algorithm used and the properties of statistical systems that are modeled using the algorithm. As it turns out, the acceptance rate in local Metropolis and heat-bath algorithms appear to be a linear function of internal energy of the used model. Moreover, the researchers were able to prove analytically that, for a one-dimensional (1D) Ising model, the acceptance rate of the Metropolis algorithm is a linear function of internal energy. This proved true not only for the thermodynamic limit, but for an arbitrary size of the system under study as well. A computational experiment demonstrated that, for all analyzed spin models with different types of interaction in any space dimensions, the linearity is performed around the phase transition point.

Students to Develop Algorithms for the Computers of the Future

This year, the new Master's programme ‘Supercomputer Simulations in Science and Engineering’ will be launched at MIEM HSE. Graduates will be experts in the interdisciplinary field of computer technology, natural sciences and engineering sciences.