001 A corrective agentic hybrid RAG and an operations-grounded evaluation for a scientific facility arXiv Paper Rajat Sainju, Dariusz Jarosz et al. 4 days ago 002 SuperCond-GNN: Scalable Graph Neural Network Surrogate for Superconducting Circuit Simulations arXiv Paper Nandana Menon, G. Vallone Jun 22 003 Mahalanobis-Guided Latent OOD Detection for Hybrid ES-DRL Control in Time-Varying Systems arXiv Paper Shaifalee Saxena, Alexander Scheinker Jun 9 004 Adaptable phase retrieval for coherent transition radiation spectroscopy based on differentiable physics information arXiv Paper Ritz Aguilar, M. LaBerge et al. Apr 28 005 PhaseFlow4D: Physically Constrained 4D Beam Reconstruction via Feedback-Guided Latent Diffusion arXiv Paper Alex Scheinker, A. Plastun et al. Apr 4 006 Beam-Plasma Collective Oscillations in Intense Charged-Particle Beams: Dielectric Response Theory, Langmuir Wave Dispersion, and Unsupervised Detection via Prometheus arXiv Paper Brandon Yee, Wilson Collins et al. Mar 11 007 Advancing accelerator virtual beam diagnostics through latent evolution modeling: an integrated solution to forward, inverse, tuning, and UQ problems arXiv Paper Mahindra Rautela et al. Feb 26 008 Toward a Fully Autonomous, AI-Native Particle Accelerator arXiv Paper Chris Tennant Feb 19 009 From Natural Language to Control Signals: A Conceptual Framework for Semantic Channel Finding in Complex Experimental Infrastructure arXiv Paper Thorsten Hellert, N. Agladze et al. Dec 21, 2025 010 Autonomous Pressure Control in MuVacAS via Deep Reinforcement Learning and Deep Learning Surrogate Models arXiv Paper Guillermo Rodríguez-Llorente, Galo Gallardo et al. Dec 17, 2025 011 Efficient Dynamic and Momentum Aperture Optimization for Lattice Design Using Multipoint Bayesian Algorithm Execution arXiv Paper Z. Zhang et al. Nov 22, 2025 012 Reinforcement Learning for Accelerator Beamline Control: a simulation-based approach arXiv Paper Anwar Ibrahim, A. Petrenko et al. Oct 18, 2025 013 Agentic Artificial Intelligence for Multistage Physics Experiments at a Large-Scale User Facility Particle Accelerator arXiv Paper Thorsten Hellert, Drew Bertwistle et al. Sep 21, 2025 014 Application Of Large Language Models For The Extraction Of Information From Particle Accelerator Technical Documentation arXiv Paper Qing Dai, Rasmus Ischebeck et al. Sep 2, 2025 015 A Supervised Machine Learning Framework for Multipactor Breakdown Prediction in High-Power Radio Frequency Devices and Accelerator Components: A Case Study in Planar Geometry arXiv Paper A. Iqbal, John P Verboncoeur et al. Jul 23, 2025 016 Advanced Space Mapping Technique Integrating a Shared Coarse Model for Multistate Tuning-Driven Multiphysics Optimization of Tunable Filters arXiv Paper Haitian Hu et al. Jul 16, 2025 017 Hybrid Meta-Learning Framework for Anomaly Forecasting in Nonlinear Dynamical Systems via Physics-Inspired Simulation and Deep Ensembles arXiv Paper Abdullah Burkan Bereketoglu Jun 15, 2025 018 Geoff: The Generic Optimization Framework & Frontend for Particle Accelerator Controls arXiv Paper Penelope Madysa et al. Jun 4, 2025 019 AI-Assisted Transport of Radioactive Ion Beams arXiv Paper Sergio Lopez-Caceres et al. Apr 8, 2025 020 Optimisation of the Accelerator Control by Reinforcement Learning: A Simulation-Based Approach arXiv Paper Anwar Ibrahim, Denis Derkach et al. Mar 12, 2025 021 Adaptive conditional latent diffusion maps beam loss to 2D phase space projections arXiv Paper Alexander Scheinker et al. Feb 25, 2025 022 Physics-Informed Super-Resolution Diffusion for 6D Phase Space Diagnostics arXiv Paper Alexander Scheinker Jan 8, 2025 023 Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power arXiv Paper T. Korten, Vladimir Rybnikov et al. Nov 14, 2024 024 Data-Driven Gradient Optimization for Field Emission Management in a Superconducting Radio-Frequency Linac arXiv Paper Steven Goldenberg et al. Nov 11, 2024 025 Harnessing the Power of Gradient-Based Simulations for Multi-Objective Optimization in Particle Accelerators arXiv Paper Kishansingh Rajput, Malachi Schram et al. Nov 7, 2024 026 Towards Agentic AI on Particle Accelerators arXiv Paper Antonin Sulc et al. Sep 10, 2024 027 Beamline Steering Using Deep Learning Models arXiv Paper D. Allen, Isaac Kante et al. Aug 24, 2024 028 Time-inversion of spatiotemporal beam dynamics using uncertainty-aware latent evolution reversal arXiv Paper Mahindra Rautela et al. Aug 14, 2024 029 Dynamic Exclusion of Low-Fidelity Data in Bayesian Optimization for Autonomous Beamline Alignment arXiv Paper Megha R. Narayanan et al. Aug 13, 2024 030 Towards Unlocking Insights from Logbooks Using AI arXiv Paper Antonin Sulc, Alex Bien et al. May 25, 2024 031 Automated Anomaly Detection on European XFEL Klystrons arXiv Paper Antonin Sulc, A. Eichler et al. May 20, 2024 032 Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language arXiv Paper Jan Kaiser, A. Eichler et al. May 14, 2024 033 GAIA: A General AI Assistant for Intelligent Accelerator Operations arXiv Paper Frank Mayet May 2, 2024 034 Accelerating Cavity Fault Prediction Using Deep Learning at Jefferson Laboratory arXiv Paper Monibor Rahman, Adam Carpenter et al. Apr 24, 2024 035 A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle accelerators arXiv Paper Mahindra Rautela et al. Mar 19, 2024 036 Anomaly Detection of Particle Orbit in Accelerator using LSTM Deep Learning Technology arXiv Paper Zhiyuan Chen, Wei Lu et al. Jan 28, 2024 037 Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations arXiv Paper Jan Kaiser, Chenran Xu et al. Jan 11, 2024 038 Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2e arXiv Paper Chenwei Xu et al. Dec 28, 2023 039 Robust Errant Beam Prognostics with Conditional Modeling for Particle Accelerators arXiv Paper Kishansingh Rajput, Malachi Schram et al. Nov 22, 2023 040 Machine Learning For Beamline Steering arXiv Paper Isaac Kante Nov 13, 2023 041 Variational Autoencoders for Noise Reduction in Industrial LLRF Systems arXiv Paper J. Edelen, M. Henderson et al. Oct 29, 2023 042 Uncertainty Aware Deep Learning for Particle Accelerators arXiv Paper Kishansingh Rajput, Malachi Schram et al. Sep 25, 2023 043 Resilient VAE: Unsupervised Anomaly Detection at the SLAC Linac Coherent Light Source arXiv Paper Ryan Humble, William Colocho et al. Sep 5, 2023 044 Artificial Intelligence for the Electron Ion Collider (AI4EIC) arXiv Paper C. Allaire, R. Ammendola et al. Jul 17, 2023 045 Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions arXiv Paper Steven Goldenberg, Malachi Schram et al. Jul 5, 2023 046 Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning arXiv Paper Jan Kaiser, Chenran Xu et al. Jun 6, 2023 047 Trend-Based SAC Beam Control Method with Zero-Shot in Superconducting Linear Accelerator arXiv Paper Xiaolong Chen, X. Qi et al. May 23, 2023 048 Pareto Optimization of a Laser Wakefield Accelerator arXiv Paper F. Irshad et al. Mar 28, 2023 049 Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression arXiv Paper Sichen Li et al. Mar 15, 2023 050 Automated control and optimisation of laser driven ion acceleration arXiv Paper B. Loughran et al. Mar 1, 2023 051 Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows arXiv Paper Anna Willmann et al. Feb 27, 2023 052 Physics-constrained 3D Convolutional Neural Networks for Electrodynamics arXiv Paper A. Scheinker, R. Pokharel Jan 31, 2023 053 Ensemble Reservoir Computing for Dynamical Systems: Prediction of Phase-Space Stable Region for Hadron Storage Rings arXiv Paper Maxime Casanova, B. Dalena et al. Jan 17, 2023 054 Data-driven Science and Machine Learning Methods in Laser-Plasma Physics arXiv Paper A. Döpp, C. Eberle et al. Nov 30, 2022 055 Quadrupole Magnet Design based on Genetic Multi-Objective Optimization arXiv Paper Eric Diehl et al. Nov 17, 2022 056 Prior-mean-assisted Bayesian optimization application on FRIB Front-End tunning arXiv Paper Kilean Hwang et al. Nov 11, 2022 057 Multi-objective and multi-fidelity Bayesian optimization of laser-plasma acceleration arXiv Paper Faran Irshad et al. Oct 7, 2022 058 Fault Prognosis in Particle Accelerator Power Electronics Using Ensemble Learning arXiv Paper M. Radaideh, C. Pappas et al. Sep 30, 2022 059 Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators arXiv Paper Sichen Li et al. Sep 21, 2022 060 Multipoint-BAX: A New Approach for Efficiently Tuning Particle Accelerator Emittance via Virtual Objectives arXiv Paper Sara Ayoub Miskovich, Willie Neiswanger et al. Sep 10, 2022