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Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China
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Capturing fine-scale physical structures in PDE predictions is now achievable with a novel function-projection approach that outperforms traditional methods.
Solving Poisson equations just got faster and more stable: NPSolver trains neural operators without solution labels by iteratively refining predictions with preconditioned conjugate gradient steps.
