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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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Fine Tuning of Microscopic Properties in Two-Component Zwitterionic- Anionic Lipid Bilayers: Determinant Role of H-Bonding

Biophysical Journal. 2018. Vol. 114. No. 3. P. 601А–601А.
Efremov R., Pyrkova D., Krylov N.

Structure, dynamics, and functioning of hydrated lipid bilayers - model cell
membranes - are governed by a thin balance of intermolecular interactions between
constituents of these systems. Besides the hydrophobic effect, which determines
the overall bilayer skeleton, important contribution is made by Hbonds
between lipids, water, and ions. This determines crucial phenomena in
cell membranes: dynamic clustering, hydration, fine tuning of microscopic
physico-chemical properties, which permit fast adaptation of membranes to
external agents (e.g., proteins). Characteristics of H-bonds (strength, spatial
location, etc.) dramatically depend on local polarity properties of water-lipid
environment. Here, we calculated free energies of H-bonded complexes between
lipids and water in explicit solvents of different polarity (water, methanol,
chloroform) mimicking membrane environment at different depth. The
strongest H-bonds were observed in nonpolar environment, although the overall
bilayer organization imposes serious limitations on the distribution of
various types of H-bonds over hydrophobic/hydrophilic regions (corresponding
to dielectric media with low and high permeability). This creates a delicate balance,
which determines a unique H-bonding pattern for each particular lipid
bilayer. This was confirmed via atomistic molecular dynamics (MD) of several
hydrated lipid bilayers. Understanding of the factors regulating H-bonding propensities
in such systems is indispensable for rational design of new membranelike
materials with predefined properties. One example - an artificial lipid with
engineered hydroxyl group - is studied via MD simulations. It is shown that
such lipids can induce significant changes of key characteristics of model membranes.
This opens new avenues in goal-oriented design of artificial membranes
with engineered properties.

Research target: Biology
Priority areas: engineering science
Language: English
Full text
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Keywords: молекулярная динамикамолекулярное моделированиеmolecular modelingMolecular Dynamics Simulationsbiomembranehydrogen bondsбиомембраныводородные связи
Publication based on the results of:
­­­Atomistic multiscale modeling of properties and processes in materials and living systems; analysis of efficiency of new supercomputer technologies (2018)
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