Sub-grid-scale stress models for particle-turbulence systems can be trained effectively using only particle kinetic energy, even with noisy or subsampled data, by applying physics constraints and spectral targets.
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Training of particle-turbulence sub-grid-scale closures with just particle data
Sub-grid-scale stress models for particle-turbulence systems can be trained effectively using only particle kinetic energy, even with noisy or subsampled data, by applying physics constraints and spectral targets.