3 papers
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…
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-ph2024
Applying Machine Learning Methods to Laser Acceleration of Protons: Lessons Learned from Synthetic Data
Ronak Desai, Thomas Zhang, Ricky Oropeza +6
Researchers in the field of ultra-intense laser science are beginning to embrace machine learning methods. In this study we consider three different machine learning methods -- a t…