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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
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Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
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Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Wave dynamics within the Whitham-Ostrovsky equation

Nonlinear Dynamics. 2026. Vol. 114. Article 784.
Flamarion M. V., Pelinovsky E.

In this article, we investigate wave packet and solitary wave dynamics in the Whitham–Ostrovsky (WO) equation. By means of a multiple-scales expansion, we formally derive a nonlinear Schrödinger (NLS) equation governing the envelope evolution.The corresponding modulational stability diagram is then obtained using the Lighthill criterion. We show that sufficiently large values of the low-frequency dispersive term render plane-wave solutions modulationally unstable. Direct numerical simulations confirm that, within the unstable region, wave packets undergo a pronounced compression, consistent with the self-focusing mechanism of the focusing NLS equation. In contrast, in the modulationally stable region, the wave packet progressively broadens in space while its peak amplitude decreases, as the wave energy is redistributed over an increasingly wider spatial interval. We further examine how solitary-wave solutions of the Whitham equation are modified within the WO framework, where they evolve into localized wave packets due to the presence of the rotating term. In addition, we investigate the dynamics of solitary waves in the anomalous dispersion regime. These solutions are computed numerically and evolved under the full time-dependent equation, revealing that their interactions are inelastic, with noticeable generation of dispersive radiation and an increase in the amplitude of the larger solitary wave. Although such interactions could, in
principle, promote the emergence of a “soliton champion” or even a freak-wave–type structure after repeated collisions, the progressive steepening of the solitary waves alters this scenario. Numerical simulations indicate that, instead of forming a persistent dominant soliton, the wave profile continues to sharpen until the onset of wave breaking occurs.

Research target: Mathematics Physics
Language: English
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Keywords: нелинейная динамикаnonlinear dynamicsWhitham equationуравнение УиземаOstrovsky equationуравнение Островского
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