Strategic white paper on AI infrastructure for particle, nuclear, and astroparticle physics: insights from JENA and EuCAIF

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 (Joint ECFA, NuPECC, APPEC) communities and as part of the Euro...

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Dettagli Bibliografici

Autori principali:	Sascha Caron, Andreas Ipp, Gert Aarts, Gábor Bíró, Daniele Bonacorsi, Elena Cuoco, Caterina Doglioni, Tommaso Dorigo, Julián García Pardiñas, Stefano Giagu, Tobias Golling, Lukas Heinrich, Ik Siong Heng, Paula Gina Isar, Karolos Potamianos, Liliana Teodorescu, John Veitch, Pietro Vischia, Christoph Weniger
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IOP Publishing 2026-01-01
Serie:	Machine Learning: Science and Technology
Soggetti:	artificial intelligence AI infrastructure fundamental physics particle physics nuclear physics astroparticle physics
Accesso online:	https://doi.org/10.1088/2632-2153/ae35cd
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