Strong EM waves in pair plasmas are governed by nonlinearity parameter ε_p, producing attenuation over ε_p^{-2/3} wavelengths when small and shock formation when large.
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A Fourier Neural Operator trained on PIC simulations yields a resolution-independent machine-learning closure for electron heat flux that reproduces temperature evolution when inserted into the energy equation and generalizes from coarse to fine grids.
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Interaction of Strong Electromagnetic Waves with Unmagnetized Pair Plasmas
Strong EM waves in pair plasmas are governed by nonlinearity parameter ε_p, producing attenuation over ε_p^{-2/3} wavelengths when small and shock formation when large.
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Resolution-Independent Machine Learning Heat Flux Closure for ICF Plasmas
A Fourier Neural Operator trained on PIC simulations yields a resolution-independent machine-learning closure for electron heat flux that reproduces temperature evolution when inserted into the energy equation and generalizes from coarse to fine grids.