Translation. Region: Russian Federation –
Source: Peter the Great St. Petersburg Polytechnic University –
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Young scientists from Peter the Great St. Petersburg Polytechnic University presented oral reports at the 4th All-Russian School-Seminar in Mathematical Modeling on Exa- and Zettaflops Supercomputers at the National Center for Physics and Mathematics.
Polytechnic University was represented by Alexey Matyushenko, a senior researcher in the Computational Hydroaeroacoustics and Turbulence laboratory of the Advanced Engineering School "Digital Engineering," a graduate of the Department of Hydroaerodynamics at the Physics and Mechanics Institute, and Maxim Akunets, a postgraduate student at the Higher School of Applied Mathematics and Computational Physics and a research intern in the same laboratory.
The National Center for Physics and Mathematics is a research and educational center specializing in developing fundamentally new knowledge in the fields of new physics, advanced mathematics, and information technology. The center was established in Sarov at the request of Russian President Vladimir Putin.
The 4th All-Russian School-Seminar of the National Center for Physics and Microphysics on Mathematical Modeling was held at the Sarov branch of Moscow State University and the National Center for Physics and Microphysics with the support of the Rosatom State Corporation and the Russian Nuclear Center for Experimental Physics.
Over the course of five days, more than 80 young researchers from across the country immersed themselves in the world of high-performance computing, digital twins, and hybrid modeling. The school's theoretical program included 25 lectures by leading scientists from the Russian Academy of Sciences, research universities, the Rosatom State Corporation, and a number of high-tech companies.
The event discussed the modern capabilities of supercomputers for solving large-scale and computationally complex problems in various fields—from aerohydrodynamics to geophysics and medicine—and learned how digital twins of complex industrial systems are created. During the practical portion of the school, participants worked with the Russian software package "Logos," modeling aerodynamics and hydrodynamics, heat transfer, material strength, and creating mesh models.
Alexey Matyushenko presented a paper on "Application of the Flexible GEKO Turbulence Model for Flows with Separation," and Maxim Akunets presented a paper on "Application of a Hybrid Feature Selection Method for Improving Turbulence Models with Machine Learning." The papers generated considerable interest and were followed by insightful questions and lively discussions.
The program committee selected the five best papers, which included a report by Alexey Matyushenko.
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