Document Type

Article

Publication Date

2025

DOI

10.1088/1748-0221/20/08/C08011

Publication Title

Journal of Instrumentation

Volume

20

Issue

8

Pages

C08011

Abstract

An overview of the recent activity of the newly funded EXCLusives with AI and Machine learning (EXCLAIM) collaboration is presented. The main goal of the collaboration is to develop a framework to implement AI and machine learning techniques in problems emerging from the phenomenology of high energy exclusive scattering processes from nucleons and nuclei, maximizing the information that can be extracted from various sets of experimental data, while implementing theoretical constraints from lattice QCD. A specific perspective embraced by EXCLAIM is to use the methods of theoretical physics to understand the working of ML, beyond its standardized applications to physics analyses which most often rely on industrially provided tools, in an automated way.

Rights

© 2025 The Authors.

Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 (CC BY 4.0) License. Any further distribution of this work must maintain attribution to the authors and the title of the work, journal citation and DOI.

Original Publication Citation

Liuti, S., Adams, D., Boer, M., Chern, G. W., Cuic, M., Engelhardt, M., Goldstein, G. R., Kriesten, B., Li, Y., Lin, H. W., Sievert, M., & Sivers, D. (2025). AI for nuclear physics: The EXCLAIM project. Journal of Instrumentation, 20(8), Article C08011. https://doi.org/10.1088/1748-0221/20/08/C08011

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