The 8th International Conference on Deep Learning in Computational Physics (DLCP-2024) Wednesday, June 19, 2024 - Friday, June 21, 2024 Skobeltsin Institute of Nuclear Physics of MSU Moscow, Russia The 8th International Conference on Deep Learning in Computational Physics(DLCP-2024) will be held at the Skobeltsin Institute of Nuclear Physics of Lomonosov Moscow State University (MSU) on June 19-21, 2024. First circular The conference will be held in a mixed format: face-to-face and remote. The conference focuses on the use of machine learning in particle astrophysics and high energy physics, physics of atmosphere and other areas of natural sciences. 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 are English and Russian. The main topics Machine Learning in Fundamental Physics Machine Learning for Environmental Sciences Machine Learning in Natural Sciences Important dates Registration — until June 10, 2024 Deadline for abstract submission — June3, 2024 Notification of report acceptance — June 10, 2024 Conference dates — June 19-21, 2024 Paper submission — August 12, 2024 The registration and abstract submission should be done via the website Registration fee To participate in the conference, you must purchase a ticket through the TimePad service. Organizational support for the conference is provided by the conference partner IP Laboratory Russia. The ticket price includes organizational expenses, participation support, coffee breaks, preparation of conference materials, including publication of proceedings. Accommodation and social events are not included and must be paid for separately by participants. On site participation: Participant - 6000 ₽ (Early registration, before June 10 - 5000 ₽) Student - 2000 ₽ (Early registration, before June 10 - 1000 ₽) Online (remote participation): Рarticipants with accepted report for each - 4000 ₽ Students with accepted report for each (first author in the list) - 1000 ₽ Online participants without report including co-authors - free of charge If you plan to participate in person or have received confirmation that your report is included in the conference program, then you need to buy a ticket by clicking on the link of DLCP2024 event on the Timepad service. Attention! Payment for participation must be made no later than June 18. Otherwise, you will be excluded from the list of participants. Please send confirmation of payment to the conference email BUY A TICKET FOR THE DLCP2024 Proceedings After blind peer review, all accepted papers will be published in the conference proceedings as a special issue of the journal Moscow University Physics Bulletin in 2024 in both electronic and paper form. The journal is published in English by Springer and indexed in the databases WoS and Scopus and is included in the Russian index RCSI too. We invite three types of submissions: INVITED PAPERS until 30 pages REGULAR PAPERS describe research not published or submitted elsewhere (12-15 pages). SHORT PAPERS may be position papers, descriptions of research prospects, challenges, projects, ongoing works, or applications (5-9 pages). Place and transportation The Skobeltsyn Institute of Nuclea Physics of MSU (Leninskie gory-1, bld.5, Moscow, Russia, near by metro “Universitet”). The ZOOM link will only be sent to registered participants 2 days before the start of the conference. Accommodation Conference participants have to make hotel reservations on their own and in advance. Sorry, NO VISA support. Contacts All correspondence should be addressed by e-mail. URL: The 8th International Conference on Deep Learning in Computational Physics (DLCP-2024) Organizers: M.V. Lomonosov Moscow State University, D.V. Skobeltsyn Institute of Nuclear Physics (SINP MSU, Moscow, Russia); Shirshov Institute of Oceanology, Russian Academy of Sciences (Moscow, Russia); Research Computing Center of the Lomonosov Moscow State University (RCC MSU, Moscow, Russia); Joint Institute for Nuclear Research, Meshcheryakov Laboratory of Information Technologies (MLIT JINR, Dubna, Russia)
