THEORY2

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[[dlcp2026:start|{{:dlcp2026:dlcp26-logo.png?200 |}}]]

====== The 10th International Conference in Deep Learning in Computational Physics ======


**July, 6-8, 2026 \\ SINP MSU, Moscow, Russia**

**Official website DLCP2026:** [[https://dlcp.sinp.msu.ru]] /**{{ :dlcp2023:see_you.png?200|}}**/

We are pleased to invite you to participate to the DLCP2026 – The 10th 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 July, 6-8, 2026.

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.

====== Program committee ======

  * A. Kryukov (SINP MSU, Moscow) — Co-Chairman

  * E. Boos, Сorresponding member of the RAS     (SINP MSU, Moscow)
  * V.Belokurov (MSU, Faculty of Physics, Moscow)
  * L. Dudko (SINP MSU, Moscow)
  * S. Dolenko (SINP MSU, Moscow)
  * V. Ilyin (NRC “Kurchatov Institute”, Moscow)
  * M. Krinitskiy (ML4ESlab, MIPT, Moscow)

/**  * S. Gulev, Academician of the RAS (SAIL, IORAS, Moscow) — Co-Chairman **/
/**  * D. Gorbunov, Сorresponding member of the RAS (INR RAS, Moscow)**/
/**  * V. Korenkov (MLIT JINR, Dubna)**/
/**  * V. Voevodin, Сorresponding member of the RAS (RCC MSU, Moscow)**/

====== Organizing committee ======

  * A. Kryukov (SINP MSU, Moscow) - Chairman
  * E.G. Boos (SINP MSU, Moscow) - Secretary

  * S. Dolenko (SINP MSU, Moscow)
  * V. Kopytov (SINP MSU, Moscow)
  * M. Krinitskiy (ML4ESlab, MIPT, Moscow) 

/**  * A. Suslov (IORAS, Moscow) **/

====== Organizers ======

||[[http://www.sinp.msu.ru/en|{{dlcp2023:sinp-logo.png}}]] | [[http://www.sinp.msu.ru|M.V. Lomonosov Moscow State University, D.V. Skobeltsyn Institute of Nuclear Physics (SINP MSU, Moscow, Russia)]] || 
||[[http://phys.msu.ru|{{ :dlcp2026:phys-logo.png?100 |}}]] | [[http://phys.msu.ru|M.V. Lomonosov Moscow State University, Faculty of Physics (Moscow, Russia)]] || 
||[[https://ocean.ru/en/|{{dlcp:dlcp2024:shirshov-logo.png?128|}}]] | [[https://ocean.ru/en/|Shirshov Institute of Oceanology, Russian Academy of Sciences]] (Moscow, Russia) ||

/**
||[[https://rcc.msu.ru/en|{{dlcp2023:rcc-logo.png?120}}]] | [[https://rcc.msu.ru/en|Research Computing Center of the Lomonosov Moscow State University (RCC MSU, Moscow, Russia)]] ||
||[[https://lit.jinr.ru/en|{{dlcp2023:lit-logo.png?120}}]] | [[https://lit.jinr.ru/en|Joint Institute for Nuclear Research, Meshcheryakov Laboratory of Information Technologies (MLIT JINR, Dubna, Russia)]] ||
**/
====== The main topics ======

**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,

===== Important dates =====
  * [[./registration|Registration]]: until ** June 29, 2026**
    * Early registration: until **June 15, 2026**
  * Deadline for abstract submission: **June 15, 2026** /**{{:dlcp2023:closed.png?48|}} **/
  * Notification of report acceptance: **June 22, 2026**
  * Conference dates: **July 6-8, 2026**
  * Deadline for paper submission: **Aug. 03, 2026**
  * Notification of paper acceptance: **Aug. 31, 2026**

====== Registration and abstract submission ======

The registration and abstract submission should be done via the website: [[dlcp2026:registration|Registration and abstract submission]].

====== Event ticket =======

To participate in the conference, you must purchase a ticket through the [[https://timepad.ru|TimePad]] service. 
/**Organizational support for the conference is provided by the conference partner [[https://iplaboratories.com/ru/|IP Laboratory Russia]].**/

The ticket price includes organizational expenses, participation support, coffee breaks, preparation of conference materials, including publication of special issue of [[http://vmu.phys.msu.ru/recent|Moscow University Physics Bulletine]]. \\ 

//Accommodation and social events are not included and must be paid for separately by participants.//


On site participation:
  * Participant 	  -  6000 ₽ (Late registration, since June 15 - 8000 ₽)
  * Student, PhD Student (first author in the list) -  1500 ₽ (Late registration, since June 15 - 2500 ₽)


Online (remote participation):     
  * Рarticipants with accepted report for each - 5000 ₽
  * Students and PhD Student with accepted report for each (first author in the list) - 1000 ₽
  * Online participants without report and co-authors of accepted reports are free of charge  

**Ticket service will be open soon.**

/**
If you plan to participate in person or have received confirmation that your report is included in the conference program, then you need to buy a ticket by clicking on the link of <color /lightgrey>[[https://ipaccelerator.timepad.ru/event/3365515/|DLCP2025 event]]</color> on the Timepad service.

//**Attention!** Payment for participation must be made no later than June 30. Otherwise, you will be excluded from the list of participants.//

Please send confirmation of payment to the conference email [[dlcp@sinp.msu.ru]].

<color /lightgrey>[[https://ipaccelerator.timepad.ru/event/3365515/|BUY A TICKET FOR THE DLCP2025]]</color>
**/

====== Proceedings ======

After blind peer review, all accepted papers will be published in the special issue of the journal [[http://vmu.phys.msu.ru/recent|Moscow University Physics Bulletin]] in 2026 in both electronic and paper form. The journal is published in English by [[https://www.springer.com/journal/11972|Springer]] and indexed in the databases [[https://www.webofscience.com|WoS]] and [[https://www.scopus.com|Scopus]] and is included in the Russian index [[https://elibrary.ru/projects/rsci/rsci.pdf|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).

====== Place and transportation ======

{{ :dlcp2026:place25.png?200|}}
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.

/**{{dlcp:dlcp2024:place.png?300|}}**/

====== Accommodation ======

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

====== Partners ======

||[[https://rscgroup.ru|{{dlcp:dlcp2024:rsc-logo.png?140|}}]] | [[https://rscgroup.ru/|RSC Group]] of Companies is a leading Russian and well-known global developer and integrator of “full cycle” innovative energy-efficient, high-density, scalable solutions with liquid cooling for high-performance computing and machine/deep learning systems, data centers, Edge Computing solutions and intelligent storage-on-demand systems.||
||[[https://iplaboratories.com/ru/|{{iplabs-logo-bw.png?140|}}]] | [[https://iplaboratories.com/ru/|IP Lab]] is a consulting company working in the field of artificial intelligence. We produce analytics, make educational programs, organize conferences. Our most famous project is the Open Conference on Artificial Intelligence [[https://opentalks.ai/en|OpenTalks.AI]]||

====== Contacts ======

All correspondence should be addressed by e-mail: <dlcp@sinp.msu.ru>.