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  • Влияние намагниченности на эффективность спиновой накачки в двухслойной структуре ферромагнетик-нормальный металл
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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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Влияние намагниченности на эффективность спиновой накачки в двухслойной структуре ферромагнетик-нормальный металл

Журнал экспериментальной и теоретической физики. 2020. Т. 157. С. 272–280.
Demidov V., Ацаркин В. А., Шайхулов Т.

The problem of spin current generation and transformation into electric signals in thin-film ferromagnet/
nonmagnetic metal bilayer structures is investigated. This direction is of considerable scientific interest
and promising for applications in spintronics. An LSMO/Pt structure consisting of an epitaxial film of ferromagnetic
manganite La2/3Sr1/3O3 grown on a single-crystal NdGaO3 substrate and coated with a platinum
film has been studied experimentally. The spin current was generated by the spin pumping method upon the
excitation of a ferromagnetic resonance in the ferromagnetic layer and was detected by the electric voltage USP
arising in the nonmagnetic metal layer due to the inverse spin Hall effect. Owing to its relatively low Curie
temperature (~350 K), using LSMO allowed the influence of ferromagnetic-layer magnetization on the spin
current generation to be studied in detail in the temperature range 100–350 K. In this case, the influence of
the shape of the ferromagnetic resonance line, which is the convolution of homogeneous (Lorentzian) spin
packets and inhomogeneous Gaussian broadening (Voigt model), was consistently taken into account. As a
result of our analysis of all the parameters defining USP, we have obtained the temperature dependence of the
mixed spin conductance, which has turned out to be approximately proportional to the ferromagnet magnetization
squared. This result is compared with existing theoretical models

Research target: Physics
Language: Russian
Full text
DOI
Text on another site
Keywords: ferromagnetic resonanceферромагнитный резонансspin currentспиновый токspin conductanceспиновая проводимость
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