Artificial Intelligence for the Electron Ion Collider (AI4EIC)

C. Allaire; R. Ammendola; E. C. Aschenauer; M. Balandat; M. Battaglieri; J. Bernauer; M. Bondì; N. Branson; T. Britton; A. Butter; I. Chahrour; P. Chatagnon; E. Cisbani; E. W. Cline; S. Dash; C. Dean; W. Deconinck; A. Deshpande; M. Diefenthaler; R. Ent; C. Fanelli; M. Finger; M. Finger; E. Fol; S. Furletov; Y. Gao; J. Giroux; N. C.Gunawardhana Waduge; O. Hassan; P. L. Hegde; R. J. Hernández-Pinto; A. Hiller Blin; T. Horn; J. Huang; A. Jalotra; D. Jayakodige; B. Joo; M. Junaid; N. Kalantarians; P. Karande; B. Kriesten; R. Kunnawalkam Elayavalli; Y. Li; M. Lin; F. Liu; S. Liuti; G. Matousek; M. McEneaney; D. McSpadden; T. Menzo; T. Miceli; V. Mikuni; R. Montgomery; B. Nachman; R. R. Nair; J. Niestroy; S. A.Ochoa Oregon; J. Oleniacz; J. D. Osborn; C. Paudel; C. Pecar; C. Peng; G. N. Perdue; W. Phelps; M. L. Purschke; H. Rajendran; K. Rajput; Y. Ren; D. F. Renteria-Estrada; D. Richford; B. J. Roy; D. Roy; A. Saini; N. Sato; T. Satogata; G. Sborlini; M. Schram; D. Shih; J. Singh; R. Singh; A. Siodmok; J. Stevens; P. Stone; L. Suarez; K. Suresh; A. N. Tawfik; F. Torales Acosta; N. Tran; R. Trotta; F. J. Twagirayezu; R. Tyson; S. Volkova; A. Vossen; E. Walter; D. Whiteson; M. Williams; S. Wu; N. Zachariou; P. Zurita

doi:10.1007/s41781-024-00113-4

Artificial Intelligence for the Electron Ion Collider (AI4EIC)

C. Allaire
, R. Ammendola
, E. C. Aschenauer
, M. Balandat
, M. Battaglieri
, J. Bernauer
, M. Bondì
, N. Branson
, T. Britton
, A. Butter
, I. Chahrour
, P. Chatagnon
, E. Cisbani
, E. W. Cline
, S. Dash
, C. Dean
, W. Deconinck
, A. Deshpande
, M. Diefenthaler
, R. Ent

C. Fanelli, M. Finger, M. Finger, E. Fol, S. Furletov, Y. Gao, J. Giroux, N. C.Gunawardhana Waduge, O. Hassan, P. L. Hegde, R. J. Hernández-Pinto, A. Hiller Blin, T. Horn, J. Huang, A. Jalotra, D. Jayakodige, B. Joo, M. Junaid, N. Kalantarians, P. Karande, B. Kriesten, R. Kunnawalkam Elayavalli, Y. Li, M. Lin, F. Liu, S. Liuti, G. Matousek, M. McEneaney, D. McSpadden, T. Menzo, T. Miceli, V. Mikuni, R. Montgomery, B. Nachman, R. R. Nair, J. Niestroy, S. A.Ochoa Oregon, J. Oleniacz, J. D. Osborn, C. Paudel, C. Pecar, C. Peng, G. N. Perdue, W. Phelps, M. L. Purschke, H. Rajendran, K. Rajput, Y. Ren, D. F. Renteria-Estrada, D. Richford, B. J. Roy, D. Roy, A. Saini, N. Sato, T. Satogata, G. Sborlini, M. Schram, D. Shih, J. Singh, R. Singh, A. Siodmok, J. Stevens, P. Stone, L. Suarez, K. Suresh, A. N. Tawfik, F. Torales Acosta, N. Tran, R. Trotta, F. J. Twagirayezu, R. Tyson, S. Volkova, A. Vossen, E. Walter, D. Whiteson, M. Williams, S. Wu, N. Zachariou, P. Zurita

Physics and Astronomy

Université Paris-Saclay
National Institute for Nuclear Physics
Brookhaven National Laboratory
Meta
Drexel University
Messiah University
Thomas Jefferson National Accelerator Facility
CNRS
University of Michigan, Ann Arbor
Stony Brook University
Indian Institute of Technology Bombay
Massachusetts Institute of Technology
University of Manitoba
College of William and Mary
Charles University
CERN
University of Regina
University of Virginia
University of Victoria BC
Central University of Karnataka
Universidad Autonoma de Sinaloa
Tübingen
Catholic University of America
University of Jammu
Hampton University
Oak Ridge National Laboratory
Virginia Union University
Lawrence Livermore National Laboratory
Center for Nuclear Femtography
Vanderbilt University
Old Dominion University
Duke University
University of Cincinnati
Fermi National Accelerator Laboratory
Lawrence Berkeley National Laboratory
University of Glasgow
University of California at Berkeley
National Centre for Nuclear Research
Warsaw University of Technology
Florida International University
Argonne National Laboratory
Christopher Newport University
City University of New York
Homi Bhabha National Institute
Rutgers - The State University of New Jersey, New Brunswick
Universidad de Salamanca
Universidad Europea
Rutgers - The State University of New Jersey, Camden
Panjab University
United States Department of Energy
Jagiellonian University in Kraków
Future University in Egypt
University of California at Los Angeles
Pacific Northwest National Laboratory
University of California at Irvine
University of York
Complutense University
University of Regensburg

Research output: Contribution to journal › Review article › peer-review

15 Scopus citations

Abstract

The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments.

Original language	English
Article number	5
Journal	Computing and Software for Big Science
Volume	8
Issue number	1
DOIs	https://doi.org/10.1007/s41781-024-00113-4
State	Published - Dec 2024

Keywords

Artificial Intelligence
Deep learning
EIC
Machine learning
Physics
QCD
ePIC

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10.1007/s41781-024-00113-4

Cite this

Allaire, C., Ammendola, R., Aschenauer, E. C., Balandat, M., Battaglieri, M., Bernauer, J., Bondì, M., Branson, N., Britton, T., Butter, A., Chahrour, I., Chatagnon, P., Cisbani, E., Cline, E. W., Dash, S., Dean, C., Deconinck, W., Deshpande, A., Diefenthaler, M., ... Zurita, P. (2024). Artificial Intelligence for the Electron Ion Collider (AI4EIC). Computing and Software for Big Science, 8(1), Article 5. https://doi.org/10.1007/s41781-024-00113-4

@article{e94075147a9944f1b729e3b9aa7ee3ce,

title = "Artificial Intelligence for the Electron Ion Collider (AI4EIC)",

abstract = "The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R\&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments.",

keywords = "Artificial Intelligence, Deep learning, EIC, Machine learning, Physics, QCD, ePIC",

author = "C. Allaire and R. Ammendola and Aschenauer, \{E. C.\} and M. Balandat and M. Battaglieri and J. Bernauer and M. Bond{\`i} and N. Branson and T. Britton and A. Butter and I. Chahrour and P. Chatagnon and E. Cisbani and Cline, \{E. W.\} and S. Dash and C. Dean and W. Deconinck and A. Deshpande and M. Diefenthaler and R. Ent and C. Fanelli and M. Finger and M. Finger and E. Fol and S. Furletov and Y. Gao and J. Giroux and Waduge, \{N. C.Gunawardhana\} and O. Hassan and Hegde, \{P. L.\} and Hern{\'a}ndez-Pinto, \{R. J.\} and Blin, \{A. Hiller\} and T. Horn and J. Huang and A. Jalotra and D. Jayakodige and B. Joo and M. Junaid and N. Kalantarians and P. Karande and B. Kriesten and Elayavalli, \{R. Kunnawalkam\} and Y. Li and M. Lin and F. Liu and S. Liuti and G. Matousek and M. McEneaney and D. McSpadden and T. Menzo and T. Miceli and V. Mikuni and R. Montgomery and B. Nachman and Nair, \{R. R.\} and J. Niestroy and Oregon, \{S. A.Ochoa\} and J. Oleniacz and Osborn, \{J. D.\} and C. Paudel and C. Pecar and C. Peng and Perdue, \{G. N.\} and W. Phelps and Purschke, \{M. L.\} and H. Rajendran and K. Rajput and Y. Ren and Renteria-Estrada, \{D. F.\} and D. Richford and Roy, \{B. J.\} and D. Roy and A. Saini and N. Sato and T. Satogata and G. Sborlini and M. Schram and D. Shih and J. Singh and R. Singh and A. Siodmok and J. Stevens and P. Stone and L. Suarez and K. Suresh and Tawfik, \{A. N.\} and Acosta, \{F. Torales\} and N. Tran and R. Trotta and Twagirayezu, \{F. J.\} and R. Tyson and S. Volkova and A. Vossen and E. Walter and D. Whiteson and M. Williams and S. Wu and N. Zachariou and P. Zurita",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.",

year = "2024",

month = dec,

doi = "10.1007/s41781-024-00113-4",

language = "English",

volume = "8",

journal = "Computing and Software for Big Science",

issn = "2510-2044",

number = "1",

}

Allaire, C, Ammendola, R, Aschenauer, EC, Balandat, M, Battaglieri, M, Bernauer, J, Bondì, M, Branson, N, Britton, T, Butter, A, Chahrour, I, Chatagnon, P, Cisbani, E, Cline, EW, Dash, S, Dean, C, Deconinck, W, Deshpande, A, Diefenthaler, M, Ent, R, Fanelli, C, Finger, M, Finger, M, Fol, E, Furletov, S, Gao, Y, Giroux, J, Waduge, NCG, Hassan, O, Hegde, PL, Hernández-Pinto, RJ, Blin, AH, Horn, T, Huang, J, Jalotra, A, Jayakodige, D, Joo, B, Junaid, M, Kalantarians, N, Karande, P, Kriesten, B, Elayavalli, RK, Li, Y, Lin, M, Liu, F, Liuti, S, Matousek, G, McEneaney, M, McSpadden, D, Menzo, T, Miceli, T, Mikuni, V, Montgomery, R, Nachman, B, Nair, RR, Niestroy, J, Oregon, SAO, Oleniacz, J, Osborn, JD, Paudel, C, Pecar, C, Peng, C, Perdue, GN, Phelps, W, Purschke, ML, Rajendran, H, Rajput, K, Ren, Y, Renteria-Estrada, DF, Richford, D, Roy, BJ, Roy, D, Saini, A, Sato, N, Satogata, T, Sborlini, G, Schram, M, Shih, D, Singh, J, Singh, R, Siodmok, A, Stevens, J, Stone, P, Suarez, L, Suresh, K, Tawfik, AN, Acosta, FT, Tran, N, Trotta, R, Twagirayezu, FJ, Tyson, R, Volkova, S, Vossen, A, Walter, E, Whiteson, D, Williams, M, Wu, S, Zachariou, N & Zurita, P 2024, 'Artificial Intelligence for the Electron Ion Collider (AI4EIC)', Computing and Software for Big Science, vol. 8, no. 1, 5. https://doi.org/10.1007/s41781-024-00113-4

TY - JOUR

T1 - Artificial Intelligence for the Electron Ion Collider (AI4EIC)

AU - Allaire, C.

AU - Ammendola, R.

AU - Aschenauer, E. C.

AU - Balandat, M.

AU - Battaglieri, M.

AU - Bernauer, J.

AU - Bondì, M.

AU - Branson, N.

AU - Britton, T.

AU - Butter, A.

AU - Chahrour, I.

AU - Chatagnon, P.

AU - Cisbani, E.

AU - Cline, E. W.

AU - Dash, S.

AU - Dean, C.

AU - Deconinck, W.

AU - Deshpande, A.

AU - Diefenthaler, M.

AU - Ent, R.

AU - Fanelli, C.

AU - Finger, M.

AU - Fol, E.

AU - Furletov, S.

AU - Gao, Y.

AU - Giroux, J.

AU - Waduge, N. C.Gunawardhana

AU - Hassan, O.

AU - Hegde, P. L.

AU - Hernández-Pinto, R. J.

AU - Blin, A. Hiller

AU - Horn, T.

AU - Huang, J.

AU - Jalotra, A.

AU - Jayakodige, D.

AU - Joo, B.

AU - Junaid, M.

AU - Kalantarians, N.

AU - Karande, P.

AU - Kriesten, B.

AU - Elayavalli, R. Kunnawalkam

AU - Li, Y.

AU - Lin, M.

AU - Liu, F.

AU - Liuti, S.

AU - Matousek, G.

AU - McEneaney, M.

AU - McSpadden, D.

AU - Menzo, T.

AU - Miceli, T.

AU - Mikuni, V.

AU - Montgomery, R.

AU - Nachman, B.

AU - Nair, R. R.

AU - Niestroy, J.

AU - Oregon, S. A.Ochoa

AU - Oleniacz, J.

AU - Osborn, J. D.

AU - Paudel, C.

AU - Pecar, C.

AU - Peng, C.

AU - Perdue, G. N.

AU - Phelps, W.

AU - Purschke, M. L.

AU - Rajendran, H.

AU - Rajput, K.

AU - Ren, Y.

AU - Renteria-Estrada, D. F.

AU - Richford, D.

AU - Roy, B. J.

AU - Roy, D.

AU - Saini, A.

AU - Sato, N.

AU - Satogata, T.

AU - Sborlini, G.

AU - Schram, M.

AU - Shih, D.

AU - Singh, J.

AU - Singh, R.

AU - Siodmok, A.

AU - Stevens, J.

AU - Stone, P.

AU - Suarez, L.

AU - Suresh, K.

AU - Tawfik, A. N.

AU - Acosta, F. Torales

AU - Tran, N.

AU - Trotta, R.

AU - Twagirayezu, F. J.

AU - Tyson, R.

AU - Volkova, S.

AU - Vossen, A.

AU - Walter, E.

AU - Whiteson, D.

AU - Williams, M.

AU - Wu, S.

AU - Zachariou, N.

AU - Zurita, P.

PY - 2024/12

Y1 - 2024/12

N2 - The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments.

AB - The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments.

KW - Artificial Intelligence

KW - Deep learning

KW - EIC

KW - Machine learning

KW - Physics

KW - QCD

KW - ePIC

UR - https://www.scopus.com/pages/publications/85185296237

U2 - 10.1007/s41781-024-00113-4

DO - 10.1007/s41781-024-00113-4

M3 - Review article

AN - SCOPUS:85185296237

SN - 2510-2044

VL - 8

JO - Computing and Software for Big Science

JF - Computing and Software for Big Science

IS - 1

M1 - 5

ER -

Artificial Intelligence for the Electron Ion Collider (AI4EIC)

Abstract

Keywords

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