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Unlock better flow field reconstructions: VSOPINN adaptively optimizes sensor placement within a PINN framework, boosting accuracy and robustness even with sparse or failing sensors.
Standard PINNs stumble in complex geometries, but MUSA-PINN leaps ahead by reformulating PDE constraints as multi-scale integral conservation laws, slashing errors by up to 93% in fluid flow simulations.
