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most citedApplying Machine Learning Methods to Laser Acceleration of Protons: Lessons Learned from Synthetic Data

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physics.plasm-ph2025

Applying Machine Learning Methods to Laser Acceleration of Protons: Synthetic Data for Exploring the High Repetition Rate Regime

John J. Felice, Ronak Desai, Nathaniel Tamminga +5

Advances in ultra-intense laser technology have increased repetition rates and average power for chirped-pulse laser systems, which offers a promising solution for many application…

physics.plasm-ph2025

Towards Intelligent Control of MeV Electrons and Protons from kHz Repetition Rate Ultra-Intense Laser Interactions

Nathaniel Tamminga, Scott Feister, Kyle D. Frische +8

Ultra-intense laser-matter interactions are often difficult to predict from first principles because of the complexity of plasma processes and the many degrees of freedom relating…