Neural operators can efficiently replace expensive field solvers in particle simulations by learning directly from particle data, with proven error bounds and linear computational complexity independent of mesh resolution.
NEOPIC is a neural operator framework that learns to replace the field solver in particle-based plasma simulations. Unlike grid-based approaches, it operates directly on particle positions without requiring a mesh, avoiding noise aliasing issues. The framework is plug-and-play, works with different simulation codes, and comes with theoretical guarantees on accuracy and computational complexity.