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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.
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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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Increasing returns, monopolistic competition, and international trade: Revisiting gains from trade

Journal of International Economics. 2022. Vol. 137. Article 103595.
Sergey Kokovin, Pavel Molchanov, Bykadorov I.

We study the canonical Krugman (1979) trade model with non-CES preferences that yield autarky at finite trade costs. We prove a non-monotone impact of gradual trade liberalization. At first, near autarky, emerging trade reduces world welfare, while at free trade it becomes large enough to be beneficial (Krugman's result). This non-monotonicity persists under heterogenous firms. The harmful small-scale trade is explained by variable markups and underpriced
imports, which become socially excessive. Unlike protectionists, we argue that “liberalization should go far”. On the other hand, we show that anti-dumping measures can be viewed as a remedy for the aforementioned imports distortion. ©

Research target: Economics and Management
Language: English
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Keywords: монополистическая конкуренцияавтаркияvariable markupsпеременные наценкиmonopolistic competitionTrade gainsвыгоды от торговлиautarkyHarmful tradeвредная торговля
Publication based on the results of:
Spatial Economics: International, Urban, Industrial (2022)
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