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News
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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Малоэнергоемкое связующее для изделий на основе каменной ваты

Нанотехнологии в строительстве: научный интернет-журнал. 2025. Vol. 17. No. 4. P. 377–388.
Bobrova E., Zhukov A., Артеменко С. О., Жук П. М., Медведев А. А.
In press

ABSTRACT Introduction. The primary objective of this study is to reduce the energy consumption involved in manufacturing mineral wool products by developing an innovative binder based on modified epoxy compounds. To achieve this objective, the potential use of epoxy compounds as binders and their modification methods were thoroughly investigated. Materials and Methods. The materials used included an epoxy binder, a modifier, and a plasticizer. The mineral wool featured an acidity modulus ranging from 1.8 to 2.1 and fiber diameters approximately 4–5 µm. Adhesion strength and tensile strength tests were conducted using an INSTRON 3382 testing machine. A methodology was developed and implemented to study the formulation and technological parameters for producing the modified epoxy binder. Results. The optimal composition of the modified epoxy binder was identified, comprising 6% modifier (latent component) and 3% plasticizer. The recommended thermal curing temperature was established at 150–154 °C, which is significantly lower than the 240–320 °C typically required for conventional binders. This work helps by creating a digital method to study the technology and showing that, obtained using a latent component and plasticizer, modified epoxy compounds can be used as binders for mineral wool products. Following curing, the adhesion strength to mineral surfaces reached 58.4 MPa, the tensile strength of the binder was 77.4 MPa, and the adhesion strength after climatic testing was 29.1 MPa. Conclusion. Assessment of the properties of mineral wool products demonstrated that their operational durability is comparable to that of products manufactured with traditional binders. Mineral fiber products – including basalt, glass, and stone wool – are among the most commonly used and effective thermal and sound insulation materials. Their application significantly reduces energy consumption for cooling during hot periods and heating during cold seasons. Using the modified epoxy binder cuts energy costs for heating by 50% and lowers overall heat use by 20–30%, which improves the energy efficiency of the products.

Research target: Construction Materials Technologies Engineering and Technology Chemistry
Language: English
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Keywords: thermal treatmentтепловая обработкацифровая модельepoxy binderэпоксидное связующееoperational durabilityэксплуатационная стойкостьdigital modelingbinder modifierenergy consumption reductionмодификатор связующегоснижение энергоемкости
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