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arXiv (2016)
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arXiv (2022)
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Reviews
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arXiv (2023)
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Tools & Libraries
(100.0%)
Plasma Surrogate Modelling using Fourier Neural OperatorsVignesh Gopakumar, Stanislas Pamela, Lorenzo Zanisi, Zongyi Li, Ander Gray, Daniel Brennand, Nitesh Bhatia, Gregory Stathopoulos, Matt Kusner, Marc Peter Deisenroth, Anima Anandkumar, JOREK Team, MAST Team
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arXiv (2024)
Novel Applications
(34.9%)
Surrogate Models
(100.0%)
Tools & Libraries
(100.0%)
Bayesian Optimization Algorithms for Accelerator PhysicsRyan Roussel, Auralee L. Edelen, Tobias Boltz, Dylan Kennedy, Zhe Zhang, Fuhao Ji, Xiaobiao Huang, Daniel Ratner, Andrea Santamaria Garcia, Chenran Xu, Jan Kaiser, Angel Ferran Pousa, Annika Eichler, Jannis O. Lubsen, Natalie M. Isenberg, Yuan Gao, Nikita Kuklev, Jose Martinez, Brahim Mustapha, Verena Kain, Weijian Lin, Simone Maria Liuzzo, Jason St. John, Matthew J. V. Streeter, Remi Lehe, Willie Neiswanger
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arXiv (2024)
Statistics & Trends
(50.2%)
Novel Applications
(49.8%)
Reviews
(100.0%)
Surrogate Models
(100.0%)
Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2eChenwei Xu, Jerry Yao-Chieh Hu, Aakaash Narayanan, Mattson Thieme, Vladimir Nagaslaev, Mark Austin, Jeremy Arnold, Jose Berlioz, Pierrick Hanlet, Aisha Ibrahim, Dennis Nicklaus, Jovan Mitrevski, Jason Michael St. John, Gauri Pradhan, Andrea Saewert, Kiyomi Seiya, Brian Schupbach, Randy Thurman-Keup, Nhan Tran, Rui Shi, Seda Ogrenci, Alexis Maya-Isabelle Shuping, Kyle Hazelwood, Han Liu
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arXiv (2023)
Reinforcement Learning & Autonomous Systems
(44.5%)
Novel Applications
(39.6%)
Surrogate Models studies for laser-plasma accelerator electron source design through numerical optimisationG. Kane, P. Drobniak, S. Kazamias, V. Kubytskyi, M. Lenivenko, B. Lucas, J. Serhal, K. Cassou, A. Beck, A. Specka, F. Massimo
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arXiv (2025)
Novel Applications
(47.8%)
Beamline Design & Simulation
(46.0%)
Surrogate Models
(100.0%)
Towards Agentic AI on Particle AcceleratorsAntonin Sulc, Thorsten Hellert, Raimund Kammering, Hayden Hoschouer, Jason St. John
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arXiv (2025)
Reinforcement Learning & Autonomous Systems
(59.8%)
Novel Applications
(58.9%)
Tools & Libraries
(100.0%)
Variable Rate Neural Compression for Sparse Detector DataYi Huang, Yeonju Go, Jin Huang, Shuhang Li, Xihaier Luo, Thomas Marshall, Joseph Osborn, Christopher Pinkenburg, Yihui Ren, Evgeny Shulga, Shinjae Yoo, Byung-Jun Yoon
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arXiv (2024)
Novel Applications
(41.2%)
Data Management
(40.6%)
FusionMAE: large-scale pretrained model to optimize and simplify diagnostic and control of fusion plasmaZongyu Yang, Zhenghao Yang, Wenjing Tian, Jiyuan Li, Xiang Sun, Guohui Zheng, Songfen Liu, Niannian Wu, Rongpeng Li, Zhaohe Xu, Bo Li, Zhongbing Shi, Zhe Gao, Wei Chen, Xiaoquan Ji, Min Xu, Wulyu Zhong
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arXiv (2025)
Novel Applications
(35.6%)
Data Management
(31.2%)
Fast Adaptive Neural Control of Resonant Extraction at FermilabA. Whitbeck, J. Berlioz, K. Danison-Fieldhouse, K. Hazelwood, M. Khan, J. Mitrevski, A. Narayanan, J. St. John, N. Tran, J. Ji, M. Walter
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arXiv (2025)
Novel Applications
(37.3%)
Optimization & Control
(36.1%)