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DOE OSTI · 3023818

Data-Driven Atomic Physics: Harnessing Machine Learning and High-Repetition-Rate Experiments for Laser-driven HED

Mariscal, Derek [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)]
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Abstract

High-energy-density plasma experiments are central to progress in atomic physics, fusion energy, and national security science, but they have traditionally been constrained by slow data collection and manual, time-intensive analysis. This project targeted that bottleneck by enabling high-repetition-rate experiments to produce and interpret much larger volumes of data quickly enough to guide experiments while they run.

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70 PLASMA PHYSICS AND FUSION TECHNOLOGYPhysics - Plasma physics

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Mariscal, Derek [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)]. 2026-03-21. Data-Driven Atomic Physics: Harnessing Machine Learning and High-Repetition-Rate Experiments for Laser-driven HED. https://doi.org/10.2172/3023818

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