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Researchers at Lawrence Livermore National Laboratory (LLNL) have applied neural networks to the study of high-intensity short-pulse laser-plasma acceleration, specifically for ion acceleration from solid targets. In most instances, neural networks are used to study data sets. In the current work, the LLNL team used them to explore sparsely sampled parameter space as a surrogate for a full simulation, or experiment.
“The work primarily serves as a simple demonstration of how we can use machine learning techniques such as neural networks to augment the tools we already have,” said LLNL postdoctoral appointee Blagoje Djordjevic. “Computationally expensive simulations such as particle-in-cell codes will remain a…READ MORE