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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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High-Quality Graphene Using Boudouard Reaction

Advanced Science. 2022. Vol. 9. No. 12. Article 2200217.
Grebenko A. K., Krasnikov D. V., Bubis A., Stolyarov V., Vyalikh D., Makarova A., Fedorov A., Ionov A. M.

Following the game-changing high-pressure CO (HiPco) process that
established the first facile route toward large-scale production of single-walled
carbon nanotubes, CO synthesis of cm-sized graphene crystals of ultra-high
purity grown during tens of minutes is proposed. The Boudouard reaction
serves for the first time to produce individual monolayer structures on the
surface of a metal catalyst, thereby providing a chemical vapor deposition
technique free from molecular and atomic hydrogen as well as vacuum
conditions. This approach facilitates inhibition of the graphene nucleation
from the CO/CO2 mixture and maintains a high growth rate of graphene
seeds reaching large-scale monocrystals. Unique features of the Boudouard
reaction coupled with CO-driven catalyst engineering ensure not only
suppression of the second layer growth but also provide a simple and reliable
technique for surface cleaning. Aside from being a novel carbon source,
carbon monoxide ensures peculiar modification of catalyst and in general
opens avenues for breakthrough graphene-catalyst composite production.

Research target: Nanotechnologies Materials Technologies Physics
Language: English
Full text
DOI
Text on another site
Keywords: grapheneграфенхимический синтезChemical vapor depositionBoudouard reactionгазовый транспорт
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