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Congratulations to the winners of I. M. Frank Scholarship Competition:
Abdurahimov Bekhzojon Abdurakhmonovich in the section "Condensed Matter Physics"
Fedorov Nikita Aleksandrovich and Nekhoroshkov Pavel Sergeevich in the section "Nuclear Physics"
Zhironkin Igor Sergeevich in the section "Development of basic facilities"
Petrova Maria Olegovna in the section "Scientific and methodological developments for neutron research"
The jury members congratulate all the laureates with deserved victory and wish them further scientific success!
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A competition of research papers for the JINR Prize for 2022 is announced in the following sections:
• "Theoretical Physics Research";
• "Experimental Physics Research";
• "Methodology, Research and Technology";
• "Applied Physics Research".
To participate in the competition, one needs to send the copies of published papers in an electronic form to the scientific secretary: This email address is being protected from spambots. You need JavaScript enabled to view it. before 5 September, 2022.
Additionally, one needs to send in a Word document:
• Title of the research paper or series of works in Russian and English
• The name of the section of the competition for which the research paper is submitted
• Surname and name of all authors (in full) in Russian and English
Do not bring paper versions!
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On 1 June, 2022, at the General Meeting of the Russian Academy of Sciences, Head of the Division of Condensed Matter Research and Developments Aleksandr Vladislavovich Belushkin was elected as a Corresponding Member of RAS!
The Frank Laboratory of Neutron Physics congratulates Aleksandr Vladislavovich and wishes him great new achievements, discoveries and accomplishments!
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We are pleased to invite you to participate to the DLCP-2022 – The 6th International Workshop on Deep Learning in Computational Physics which will be held in the Meshcheryakov Laboratory of Information Technologies (MLIT) of the Joint Institute for Nuclear Research (JINR) on July 6-8, 2022. The workshop will be held in a mixed format: face-to-face and remote. However, the poster section will be held in face-to-face only.
The workshop primarily focuses on the use of machine learning in particle astrophysics and high energy physics, but is not limited to this area. Topics of interest are various applications of artificial neural networks to physical problems, as well as the development of new modern machine learning methods for analyzing various scientific data, including big data.
The working language is English.
All relevant information on the workshop website: https://dlcp2022.jinr.ru/.
Organizers
Joint Institute for Nuclear Research, Meshcheryakov Laboratory of Information Technologies (MLIT JINR, Dubna, Russia) and M.V. Lomonosov Moscow State University, D.V. Skobeltsyn Institute of Nuclear Physics (SINP MSU, Moscow, Russia).
The main topics
The list is not limited these themes.
Track 1. Machine Learning in Particle Astrophysics and High Energy Physics
Track 2. Modern Machine Learning Methods
Track 3. Machine Learning in Natural Sciences
Track 4. Machine Learning in Education
Important dates
Abstract submission — June 22, 2022
Notification of acceptance — June 29, 2022
Registration — until July 4, 2022
The Workshop — July 6-8, 2022
Paper submission — August 9, 2022
Notification of paper acceptance — September 6, 2022
Registration and abstract submission
The registration and abstract submission should be done via the website. No fee for participation. Proceedings Selected articles will be recommended for publication in the scientific journal Numerical Methods and Programming (https://en.num-meth.ru) which indexed in RSCI. The journal is included in the Higher Attestation Commission (Russian Federation).
Contacts
All correspondence concerning the workshop should be addressed by e-mail.
Conference e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.