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Inferring physical fields in coupled systems with unknown parameters from incomplete observations using physics-constrained attentive neural operators
Given incomplete measurements of a single physical field in a coupled system with unknown parameters, can we infer its full physical state and identify the underlying parameters? This problem is challenging because multiple coupled fields must be reconstructed simultaneously from limited observation
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