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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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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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The influence of the discharge current axial component on the magnetic field distribution in the cathode region of magnetron sputtering system

Journal of Physics: Conference Series. 2017. Vol. 872. No. 1. Article 012046.
Goncharov V., Sorokin K., Fiskin E.

The paper includes the description of the mathematical model, which simulates magnetic field distribution in the cathode area of the sputtering system discharge considering the current created by electrons moving along the surface of cathode-target. Presented results of the numerical modeling were received using the developed model. It is also shown that the current component, directed along the cathode surface significantly impacts total magnetic field distribution in the magnetron discharge.

Research target: Physics Electronics and Electrical Engineering Materials Technologies
Language: English
DOI
Keywords: magnetron sputteringmagnetronmagnetismmagnetic fieldsElectromagnetic fieldsmodified electrodes
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