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. EntC. 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

School of Arts and Sciences, New High Energy Theory Center

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

5 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 (US)
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

All Science Journal Classification (ASJC) codes

Software
Computer Science (miscellaneous)
Nuclear and High Energy Physics

Keywords

Artificial Intelligence
Deep learning
EIC
Machine learning
Physics
QCD
ePIC

Access to Document

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

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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 (US)",

volume = "8",

journal = "Computing and Software for Big Science",

issn = "2510-2044",

publisher = "Springer Nature",

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 - http://www.scopus.com/inward/record.url?scp=85185296237&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85185296237&partnerID=8YFLogxK

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

All Science Journal Classification (ASJC) codes

Keywords

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