The authors fit a neural-network kernel, parameterized by LMV-style free-path and density-weighted distance plus time, to particle-in-cell heat flux data and show qualitative agreement on three held-out 1D cases.
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Learning Heat Transport Kernels Using a Nonlocal Heat Transport Theory-Informed Neural Network
The authors fit a neural-network kernel, parameterized by LMV-style free-path and density-weighted distance plus time, to particle-in-cell heat flux data and show qualitative agreement on three held-out 1D cases.