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/.


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).



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.