An open-source Jax-based SPH simulator generates training data for LPV state-space surrogates that approximate fuel sloshing dynamics and enable 100x faster closed-loop spacecraft simulations under zero gravity.
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Data-driven Learning of LPV Surrogate Models of Fuel Sloshing
An open-source Jax-based SPH simulator generates training data for LPV state-space surrogates that approximate fuel sloshing dynamics and enable 100x faster closed-loop spacecraft simulations under zero gravity.