June 19-21, 2024
SINP MSU, Moscow, Russia

Official website DLCP2024: https://dlcp2024.sinp.msu.ru

We are pleased to invite you to participate to the DLCP2024 – The 8th International Conference on Deep Learning in Computational Physics which will be held at the Skobeltsin Institute of Nuclear Physics of Lomonosov Moscow State University (MSU) on June 19-21, 2024.

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 languages are English and Russian.

Section 1. Machine Learning in Fundamental Physics

• Machine learning methods in particle astrophysics and high energy physics.
• Fast event generators based on machine learning for simulation of physics phenomena.
• Multi-messenger data analysis of experimental data.
• Application machine learning for data analysis in megascience facilities.

Section 2. Machine Learning for Environmental Sciences

• Climate analysis, retrospective analysis and projection
• Statistical modeling of the ocean and atmosphere on various temporal and spatial scales
• Environmental monitoring: remote sensing, instrumental monitoring, observations, monitoring networks

Section 3. Machine Learning in Natural Sciences

• Biology and bioinformatics.
• Engineering sciences.
• Modern Machine Learning Methods

The conference will feature:

• invited presentations – 30 minutes,
• regular presentations – 15 minutes,

• Registration — until June 10, 2024
• Deadline for abstract submission — June 3, 2024
• Notification of report acceptance — June 10, 2024
• Conference dates - June 19-21, 2024
• Paper submission — August 12, 2024

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

On site participation:

• Participant - 6000 ₽
• Student - 2000 ₽

Online (remote participation):

• Рarticipants with accepted report for each - 4000 ₽
• Student and online participant without report - free of charge

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

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).

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.

Conference participants have to make hotel reservations on their own and in advance. Sorry, NO VISA support.

• A. Kryukov (SINP MSU, Moscow) — Co-Chair
• S. Gulev, corresponding member of the RAS (SAIL, IORAS, Moscow) — Co-Chair

• E. Boos, corresponding member of the RAS (SINP MSU, Moscow)
• S. Dolenko (SINP MSU, Moscow)
• D. Gorbunov, corresponding member of the RAS (INR RAS, Moscow)
• V. Ilyin (NRC “Kurchatov Institute”, Moscow)
• M. Krinitskiy (ML4ESlab, MIPT, Moscow)
• V. Korenkov (MLIT JINR, Dubna)
• V. Voevodin, corresponding member of the RAS (RCC MSU, Moscow)

• E.G. Boos (SINP MSU, Moscow) -secretary

• S. Dolenko (SINP MSU, Moscow)
• M. Krinitskiy (ML4ESlab, MIPT, Moscow)
• A. Kryukov (SINP MSU, Moscow)
• A. Suslov (IORAS, Moscow)

All correspondence should be addressed by e-mail: dlcp2024@theory.sinp.msu.ru.