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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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Transport properties of MF-4SС membranes doped by sulfonated zirconia

Russian Journal of Electrochemistry. 2019. Vol. 55. P. 1292–1298.
Yurova P., Aladysheva U. S., Stenina I., Yaroslavtsev A. B.

Composite materials based on homogeneous perfluorinated cation exchange membranes MF-4SK and sulfonated zirconium oxide were obtained by in situ and casting methods and their transport properties and gas permeability were studied. With the introduction of sulfonated zirconia, the conductivity of in situ and casting membranes increases at room temperature by more than 1.5 and 4 times, respectively. The anion transfer numbers characterizing the undesirable anion transfer for composite membranes obtained by the in situ and casting methods decrease by more than 1.5 times (from 0.026 to 0.020 and from 0.020 to 0.014, respectively). For samples based on MF-4SK membranes and zirconium oxide, a significant (more than 3 times) decrease in hydrogen permeability was noted. The differences in the observed values ​​of moisture content, conductivity and mutual diffusion of the obtained composite membranes are discussed.

Research target: Chemistry Nanotechnologies
Language: English
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Keywords: гибридные полимерные мембраныИонная проводимостьComposite membranesIon conductivityIon-exchange membranesPermselectivityкатионообменные мембраныnanocomposite materialssulfonated zirconiadiffusion coefficientstransfer numbersнанокомпозитные материалысульфированный оксид циркониякоэффициенты диффузииселективностьчисла переноса
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