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  • Создание «черного кремния» для солнечных элементов на основе структур с Ge(Si) cсамоформирующимися островками
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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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?

Создание «черного кремния» для солнечных элементов на основе структур с Ge(Si) cсамоформирующимися островками

С. 815–816.
Шалеев М. В., Новиков А. В., Юрасов Д. В., Байдакова Н. А., Морозова Е. Е., Скороходов Е. Е., Verbus V. A., Ota Y., Kurokawa Y., Usami N.

An original method has been developed for nanotexturing the surface of crystalline silicon, based on the use of GeSi self-focusing nanoislands as a mask for anisotropic etching of Si. The developed method is characterized by a small thickness of the removed silicon and allows in a wide spectral range to significantly reduce the reflection from the silicon surface and increase the absorption of radiation in the near and middle IR range. This makes it promising to use this method of surface nanotexturing to increase the efficiency of solar cells based on thin crystalline silicon wafers

Language: Russian
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Keywords: кремнийsiliconsolar cellsсолнечные элементы

In book

Труды XXII Международного симпозиума «Нанофизика и Наноэлектроника» 2018 г., Нижний Новгород
Труды XXII Международного симпозиума «Нанофизика и Наноэлектроника» 2018 г., Нижний Новгород
Т. 2: секция 3. , Н. Новгород: Нижегородский государственный университет им. Н.И. Лобачевского, 2018.
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