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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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Imagining young adults’ citizenship in Russia: from fatalism to affective ideas of belonging*

Journal of Youth Studies. 2017. Vol. 20. No. 2. P. 252–267.
Krupets Y., Morris J., Nartova Nadya, Omelchenko Elena, Sabirova G.

This article contributes to a comparative analysis of the meaning of citizenship for youth. Young people, traditionally seen as ‘incomplete’ citizens in the process of transition to adulthood, possess their own everyday understanding of what it means to be a citizen in the contemporary world. Based on empirical qualitative material collected in two Russian cities, it is argued that there is a disjunction among young Russians between the ideal-typical perception of citizenship and the practical realisation of it. Particular emphasis is put on the ‘emotional’ understanding of citizenship by Russian youth involving the experience of particular feelings towards fellow citizens and the country.

Priority areas: sociology
Language: English
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Keywords: молодежьРоссияRussiaгражданствомолодые взрослыеcitizenshipyoung adultsyoutheveryday citizenshipповседневное гражданство
Publication based on the results of:
Youth Solidarities and Generations of XXI Century: Meaning of Labor and Consumption (2014)
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