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Artificial intelligence for advancing particle accelerators

Year: 2025

Type: article

Abstract: Artificial intelligence is increasingly shaping the way we think, design, build and operate present and future particle accelerators for science discovery and society.

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/epn/2025106/pdf

Authors: Adnan Ghribi, Kevin Cassou, Barbara Dalena, Annika Eichler, Hayg Guler, Andrew K. Mistry, Adrian Oeftiger, Thomas Shea, Gianluca Valentino, Carsten P. Welsch

Institutions: Centre National de la Recherche Scientifique, Université Paris-Saclay, Grand Accélérateur National d'Ions Lourds, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Deutsches Elektronen-Synchrotron DESY, GSI Helmholtz Centre for Heavy Ion Research, University of Oxford, European Spallation Source, University of Malta, University of Liverpool

Language: English

Topic: Particle accelerators and beam dynamics

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6903369050

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