LRC-FNO uses latent compression and residual-closure FNOs to deliver low-error field predictions that preserve physical consistency in closed-loop PIC simulations beyond the training horizon.
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Latent Residual-Closure Fourier Neural Operator for Robust Multi-Field Solving in Particle-in-Cell Simulations
LRC-FNO uses latent compression and residual-closure FNOs to deliver low-error field predictions that preserve physical consistency in closed-loop PIC simulations beyond the training horizon.