/**[[dlcp:main|{{:dlcp21:dlcp21-logo.png?360|}}]]**/ [[dlcp:main|{{:dlcp21:astro3e.png?400 |}}]] /** {{section>dlcp21:news&footer&firstseconly}} **/ ====== DLCP-2021. Call for Paper ====== **5th International Workshop on Deep Learning in Computational Physics ([[https://theory.sinp.msu.ru/doku.php/dlcp21/about|DLCP-2021]])** **June 28-29** /**The workshop is aimed at discussing problems related to research and development of machine learning methods and algorithms for physics applications. One of the areas of the workshop (but not limited to this) is various application of artificial neural networks in cosmic ray astrophysics. Other topics are the development of new modern machine learning methods for analyzing various data in other scientific fields.**/ The workshop primarily focuses on the use of machine learning in cosmic ray astrophysics, 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. We are pleased to invite you to participate to the DLCP-2021 - International Workshop on Deep Learning in Computational Physics which will be held in virtual (ZOOM) format on 28-30 June, 2021. ===== Organizers ===== [[https://www.kit.edu|Karlsruhe Institute of Technology]] (Karlsruhe, Germany) \\ [[http://www.sinp.msu.ru|D.V. Skobeltsyn Institute of Nuclear Physics]], M.V. Lomonosov Moscow State University (Moscow, Russia) \\ /**Irkutsk State University (Irkutsk, Russia) \\ **/ [[http://www.icc.irk.ru/en/about|Matrosov Institute for System Dynamics and Control Theory]] SB RAS (Irkutsk, Russia) ===== The main topics ===== * Modern machine learning method in physics * Deep learning in cosmic ray astrophysics * Generative adversarial network for modelling of physics phenomena * Multi-messenger data analysis in astroparticle physics * Application in biology and other natural sciences * Modern trends in machine learning ===== Program committee ===== **Prof. A. Haungs (KIT, Karlsruhe) — Co-Chair** \\ **A. Kryukov (MSU, Moscow) — Co-Chair** \\ Academician I. Bychkov (ISDCT SB RAS, Irkutsk) \\ A. Demichev (MSU, Moscow) \\ A. Shigarov (ISDCT SB RAS, Irkutsk) \\ V. Tokareva (KIT, Karlsruhe) ===== Local organizing Committee ===== A. Kryukov (MSU, Moscow) — Chair \\ A. Shigarov (ISDCT SB RAS, Irkutsk) \\ J. Dubenskaya (MSU, Moscow) \\ V. Tokareva (KIT, Karlsruhe) ===== Place ===== Due to the situation regarding the coronavirus (COVID-19), the Organizing committee decided to organize the workshop remotely via Zoom platform. ===== Important dates ===== * **NEW!** Abstract submission — June 14, 2021 **June 21, 2021** * Notification of acceptance — June 21, 2021 **June 24, 2021** * Registration - until June 29, 2021 * The Workshop — June 28-29, 2021 * Paper submission — August 30, 2021 * Notification of paper acceptance — September 6, 2021 ===== Registration and abstract submission ===== The registration and abstract submission should be done via the website: [[https://theory.sinp.msu.ru/doku.php/dlcp21/registration|Registration and abstract submission]]. **No fee for participation.** ===== Proceedings ===== Selected articles will be published online at [[http://CEUR-WS.org|CEUR-WS]] and indexed in Scopus. Submissions should be in English and formatted in [[http://ceur-ws.org/Vol-XXX/CEURART.zip|1-column CEUR-ART style]]. We invite two types of submissions: * REGULAR PAPERS describe research not published or submitted elsewhere (10-12 pages). * SHORT PAPERS may be position papers, descriptions of research prospects, challenges, projects, ongoing works, or applications (5-9 pages). [[https://theory.sinp.msu.ru/doku.php/dlcp21/proceedings|Submission guidelines]] ===== Contacts ===== All correspondence concerning the workshop should be addressed by e-mail: \\ [[kryukov@theory.sinp.msu.ru, victoria.tokareva@kit.edu|Alexander Kryukov and Victoria Tokareva]] {{:dlcp21:dlcp21-url.png|}}