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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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Hydrogen Halide Gas Sensors: Active Materials, Operation Principles, and Emerging Technologies

INTERDISCIPLINARY MATERIALS. 2026. Vol. 5. No. 1. P. 85–123.
Тукачев Н. В., Liu X., Wang K., Zhirihin D., Cheng Y., Krasnov P., Song M., Khubezhov S., Yin W., Stratakis E., He S., Rogach A., Makarov S.

Hydrogen halide gases are one of the most wide-spread pollutants of atmosphere, which are generated by various industrial sectors or natural processes, and may dramatically affect human health above certain thresholds of exposure. Hence, it is critically important to develop effective sensing methods for these gases. Herein, we review the recent progress as well as fundamental mechanisms, materials, and designs for the hydrogen halide gas sensors. We discuss in detail four major types of sensors: acoustic, chemical, optical, and the emerging nanophotonic sensors, categorizing them based on their operation principles. Acoustic sensors are discussed with a focus on microbalance-based and surface acoustic wave gas sensors. Chemical sensors are considered from the point of view of electrochemical and chemiresistive sensing mechanisms. Optical sensors are analyzed, covering fluorescence-based optical sensors, laser absorption-based techniques, photoacoustic spectroscopy, and nonlinear optical methods. Finally, emerging nanophotonic sensors are introduced, emphasizing plasmonic and all-dielectric nanophotonic approaches. We offer insights into the key operation mechanisms of different types of sensors for hydrogen halide gases and provide their direct comparison.

Research target: Chemistry Materials Technologies
Language: English
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Keywords: gas sensing materialssensing mechanisms
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