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November 10, 2026
Physicists Train AI to Optimise Particle Beams in Accelerators
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science and the Budker Institute of Nuclear Physics at the Siberian Branch of the Russian Academy of Sciences have developed RLABC (Reinforcement Learning for Accelerator Beamline Control), a framework that uses reinforcement learning to identify optimal settings for a particle accelerator. In a computer simulation, RLABC optimised the accelerator's parameters to achieve a particle transmission rate of 70%. The study has been published in Computer Physics Communications.
November 9, 2026
'Organ-on-a-Chip Technology Could Eliminate the Need for Animal Testing'
The Laboratory of Molecular Physiology at the HSE Faculty of Biology and Biotechnology investigates how molecular regulators known as microRNAs control gene expression and contribute to the development of diseases, including cancer, viral and inflammatory conditions, and pregnancy complications. At HSE University, researchers develop organ-on-a-chip models: miniature devices containing living cells that mimic the functions of human organs, such as the placenta and intestines. These models help researchers understand how diseases develop and how drugs affect them. HSE News Service spoke with Evgeny Knyazev, Head of the Laboratory.
November 9, 2026
Flattened Terrain Models Underestimate Vehicle-to-Vehicle Communication Outages
Researchers at HSE MIEM have shown that widely used simulators of vehicle-to-vehicle communication significantly overestimate its reliability because they assume flat terrain. When terrain features, bridges, and tunnels are taken into account, the outage rate on a mountain serpentine road rises from 21% to 30%, on an overpass from 20% to 33%, and in a tunnel from 0% to 80%. The results have been published in Future Transportation.

 

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Измерение показателя преломления с помощью гониометрической системы в автоматизированном режиме

Оптический журнал. 2022. Т. 89. № 12. С. 13–18.
Yurin A., Вишняков Г. Н., Minaev V.

Subject of study. A method for measuring the refractive index using an automated autocollimation goniometric system. Aim of study. Simplification of the procedure for precision measurements of the refractive index of transparent solid and liquid optical materials. Method. To measure the refractive index of triangular prisms, goniometric methods based on measuring the angles of refraction of light by a substance are often used. A proposed method allows determining the refractive index by measuring the angle of light deflection by a prism after reflection from the inner face in an automated mode. Main results. The results of measurements of the refractive index of two triangular prisms made of various glasses ‒ N-BK7 and SF-1 using the proposed method on an autocollimation goniometric system are presented. The measurement error did not exceed 1.5×10-4 when compared with the nominal value for these prisms at the wavelength of the autocollimator radiation source, which proves the prospect of using such a method for high-precision measurements of the refractive index. Practical significance. The method proposed in the article can be used to measure the refractive index of triangular prisms made of optically transparent materials with different refractive angles using a goniometric system in an automated mode. The method can also be used for liquid optically transparent substances placed in a hollow triangular prism.

Research target: Electronics and Electrical Engineering
Language: Russian
DOI
Text on another site
Keywords: показатель преломленияавтоматизация измеренийmeasurement automationрефрактометрияrefractometryrefractive indexгониометрgoniometer
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