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physics.comp-ph2024
Neural network sampling of Bethe-Heitler process in particle-in-cell codes
Óscar Amaro, Chiara Badiali, Bertrand Martinez
This study uses neural networks to improve Monte Carlo (MC) implementations of the Bethe-Heitler process in Particle-In-Cell (PIC) codes. We provide a neural network that is as acc…
physics.comp-ph2022★ 10 cited
Machine Learning-based models in particle-in-cell codes for advanced physics extensions
Chiara Badiali, Pablo J. Bilbao, Fábio Cruz +1
In this paper we propose a methodology for the efficient implementation of Machine Learning (ML)-based methods in particle-in-cell (PIC) codes, with a focus on Monte-Carlo or stati…