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DLCP-2021. Call for Paper

5th International Workshop on Deep Learning in Computational Physics (DLCP-2021)

June 28-29

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

Karlsruhe Institute of Technology (Karlsruhe, Germany)
D.V. Skobeltsyn Institute of Nuclear Physics, M.V. Lomonosov Moscow State University (Moscow, Russia)
Matrosov Institute for System Dynamics and Control Theory SB RAS (Irkutsk, Russia)

The main topics

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

Registration and abstract submission

The registration and abstract submission should be done via the website: Registration and abstract submission.

No fee for participation.

Proceedings

Selected articles will be published online at CEUR-WS and indexed in Scopus. Submissions should be in English and formatted in 1-column CEUR-ART style.

We invite two types of submissions:

Submission guidelines

Contacts

All correspondence concerning the workshop should be addressed by e-mail:
Alexander Kryukov and Victoria Tokareva