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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.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
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.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
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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CaPt4P6, first calcium-containing representative of the ternary pyrite-derived pnictides of the BaPt4As6 type: Synthesis, crystal, and electronic structure

Journal of Solid State Chemistry. 2023. Vol. 322. Article 123969.
Makhaneva A. Y., Zakharova E., Nesterenko S., Konstantin A. Lyssenko, Kuznetsov A.

Mixed calcium-platinum phosphide CaPt4P6 was synthesized using flux-assisted high-temperature ampoule
technique. According to single-crystal XRD data it crystallizes in the monoclinic space group C2/c with Z ¼ 4 (a ¼
8.1361(3) Å, b ¼ 7.9489(3) Å, c ¼ 11.3803(5) Å, β ¼ 90.860(2)o, R1 ¼ 0.0240, wR2 ¼ 0.0618) and belongs to the
BaPt4As6 structure type, the structure of which is derived from pyrite structure where one atom of alkaline earth
metal per formula unit occupies P2-unit position. DFT calculations predict all known representatives of the
BaPt4As6 structure type to be narrow-gap semiconductors (calculated bandgap values are: 0.43 eV (CaPt4P6), 0.57
eV (SrPt4P6), 0.27 eV (SrPt4As6) and 0.40 eV (BaPt4As6)). Bonding analysis establishes that all these compounds
are based on the 3D framework of the Pt-Pn and Pn-Pn interactions, with AE cations occupying the voids with
varying degree of the distortion of the AE coordination.

Research target: Chemistry
Language: English
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Keywords: DFT crystal structurechemical bondingPlatinum-rich compoundsPhosphidesFlux-assisted crystal growth
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