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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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Effect of doping on structure and functional properties of SrFe12-xInxO19 hexaferrite nanoparticles for biomedical applications

Ceramics International. 2026. Vol. 52. No. 3. P. 3500–3511.
Shchetinin I., Nikolenko P., Nizamov T., Novikov A., Ivanova A., Alexey I. Kartsev

In this work, we comprehensively investigated the influence of Indium doping on the structure, magnetic and functional properties of strontium M-type hexaferrites SrFe12-xInxO19 nanoparticles (where x = 1.7, 1.8, 2.0). Colloidally stable SrFe12-xInxO19 nanoparticles (∼10 nm) were synthesized using a combination of the citrate method and high-energy ball milling. We demonstrate that doping reduces both the specific saturation magnetization and, especially, the coercivity to values compatible with high-frequency fields used in biomedicine. This enables the potential use of SrFe12-xInxO19-based materials as hyperthermia agents. The materials, when coated with Pluronic F-127 polymer, exhibited low cytotoxicity, supporting their biomedical applicability. The SLP parameters of the synthesized samples ranged from 3.5 to 6.4 W/g and depended on the doping level. Importantly, the materials possess a heating limit of 42–52 °C, eliminating the risk of overheating healthy tissues during hyperthermia. This maximum heating temperature results from a strong reduction in the Curie temperature induced by Indium doping. Furthermore, a complete correlation between the areas of the minor magnetic hysteresis loops and the SLP parameters indicates that heating under an alternating magnetic field is primarily due to remagnetization losses.

Research target: Physics Chemistry Medical Biotechnologies
Language: English
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Keywords: magnetic nanoparticlesab initio
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