Workshop: Probing the Frontiers of Nuclear Physics with AI at the EIC

→ US/Eastern
CFNS

CFNS
Description

Over the last decade, there have been significant developments in machine learning and artificial intelligence, which are now used frequently in scientific applications. Building on this progress, the focus of this workshop is on the use and future impact of machine learning in nuclear theory and experiments related to the future Electron-Ion Collider (EIC). The EIC is the main effort of the U.S. nuclear physics program where the structure of nucleons/nuclei in terms of quark and gluon degrees of freedom will be explored in great detail. To realize this ambitious program, many challenges in data science and theory remain where AI applications can advance scientific discoveries. Our goal is to bring together machine learning experts and researchers with a focus on hadron and nuclear structure, lattice QCD, nuclear many-body theory, quantum computing, experiment design, and data analysis at collider experiments to discuss recent progress and explore common interests in machine learning tools and applications. The workshop will also focus on connections to AI applications in high-energy physics and heavy-ion collisions at the LHC & RHIC. 

Specific topics:

  • Inverse problems of physics extractions at the EIC

  • AI for calculations in lattice gauge theory

  • Jet physics and interpretable AI

  • Neural network quantum states and nuclear matter

  • Generative modeling for parton showers and event generators

  • Experimental challenges in nuclear tomography at the EIC

 

Organizing committee:

Prerit Jaiswal 
Dima Kharzeev (SBU/BNL & local CFNS member) 
James Mulligan (UCB/LBNL) 
Felix Ringer (JLab/ODU) 
Nobuo Sato (JLab) 
Phiala Shanahan (MIT)

This event is part of the CFNS workshop/ad-hoc meeting series. See the CFNS conferences page for other events.

 

 

Registration
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Participants
  • Adrien Florio
  • Anindita Maiti
  • Anja Butter
  • Ankan Banerjee
  • Ankan Banerjee
  • Bartosz Pyszkowski
  • Benjamin Nachman
  • Bishnu Karki
  • Bryce Fore
  • Charles-Joseph Naïm
  • Chenxi Ma
  • Cristiano Fanelli
  • Daniel Hackett
  • Daniel Lersch
  • Debasish Das
  • Denis Boyda
  • Dennis Perepelitsa
  • Dimitrios Athanasakos
  • Ding Chen
  • Dmitri Kharzeev
  • Evgeny Shulga
  • Felix Ringer
  • Fernando Torales Acosta
  • Jack Araz
  • James Mulligan
  • Jaydeep Datta
  • Jin Huang
  • Joseph Karpie
  • Megha Lahiri
  • Natalie Isenberg
  • Nathan Urban
  • Niseem (Magdy) Abdelrahman
  • nobuo sato
  • Parada Hutauruk
  • Peter Devlin
  • Phiala Shanahan
  • Pietro Dall'Olio
  • Prithwish Tribedy
  • Raymond Ehlers
  • shanjin wu
  • Tapasi Ghosh
  • Tianji Cai
  • Vinicius Mikuni
  • Yeonju Go
  • Yihui Ren
  • Yukari Yamauchi
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