Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF
Caron, Sascha, Ipp, Andreas, Aarts, Gert, Bíró, Gábor, Bonacorsi, Daniele, Cuoco, Elena, Doglioni, Caterina, Dorigo, Tommaso, Pardiñas, Julián García, Giagu, Stefano, Golling, Tobias, Heinrich, Lukas, Heng, Ik Siong, Isar, Paula Gina, Potamianos, Karolos, Teodorescu, Liliana, Veitch, John, Vischia, Pietro, Weniger, Christoph
–arXiv.org Artificial Intelligence
Artificial intelligence (AI) is transforming scientific research, with deep learning methods playing a central role in data analysis, simulations, and signal detection across particle, nuclear, and astroparticle physics. Within the JENA communities-ECFA, NuPECC, and APPEC-and as part of the EuCAIF initiative, AI integration is advancing steadily. However, broader adoption remains constrained by challenges such as limited computational resources, a lack of expertise, and difficulties in transitioning from research and development (R&D) to production. This white paper provides a strategic roadmap, informed by a community survey, to address these barriers. It outlines critical infrastructure requirements, prioritizes training initiatives, and proposes funding strategies to scale AI capabilities across fundamental physics over the next five years.
arXiv.org Artificial Intelligence
Mar-18-2025
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