7th International Conference on Deep Learning in Computational Physics (DLCP-2023)

Wednesday, June 21, 2023 - Friday, June 23, 2023      SPbSU     St.-Petersburg, Peterhof,Russia

The 7th International Conference on Deep Learning in Computational Physics (DLCP-2023) which will be held at the Faculty of Physics of St.-Petersburg State University (SPbSU) on June 21-23, 2023.

DLCP-2023 Invitation

The conference will be held in a mixed format: face-to-face and remote. However, the poster section will be held in face-to-face format only.

The conference 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 languages are English and Russian.

The main topics
Machine Learning in Physics
Modern Machine Learning Methods
Machine Learning in Natural Sciences
Machine Learning in Education

Important dates
Registration — until June 7, 2023
Deadline for abstract submission — June 1, 2023 (deadline extended!)
Notification of report acceptance — June 7, 2023
Conference dates - June 21-23, 2023
Paper submission — August 14, 2023

Registration fee A fee is charged for participation in the conference. Registration fee includes organizing costs, participation support, coffee/tea breaks, and conference proceedings. Accommodation and social events are not included, participants pay for it on their own.

On site participation:
Participant - 6000 ₽
Student - 1000 ₽

Online (remote participation):
Рarticipants with accepted report - 3000 ₽
Student, online participant without report - free of charge

The registration and abstract submission should be done via the website

After blind peer review, all accepted papers will be published online in the conference proceedings at Proceedings of Science and submitted for indexing in Scopus and supply by DOI.

All correspondence should be addressed by e-mail.

St.-Petersburg State University (SPbSU, Saint-Petersburg, Russia); M.V. Lomonosov Moscow State University, D.V. Skobeltsyn Institute of Nuclear Physics (SINP MSU, 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)