1 citations · 1 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…