Recent advances in laser technology have opened many diverse fields of experiments where high-energy laser pulses interacting with plasmas generate streams of accelerated electrons or ions, produce gamma rays or electron-positron pairs, or emulate conditions found inside heavy planets or stars in a laboratory setting. Traditional simulation methods like the Particle-in-Cell (PIC) method, introduced in 1959, allow us to simulate the complex behavior of plasmas in such experiments. Getting past the proven path, efforts to enhance PIC codes through AI/ML are paving the way for further advancements in understanding and leveraging these high-energy interactions.
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