Data-driven models for physical systems share a common structure differing only in model class assumptions, with only mechanism-discovering models capable of generalization.
Solving Engineering Eigenvalue Problems With Neural Networks Using the Rayleigh Quotient.International Journal for Numerical Methods in Engineering, 126(24):e70209, 2025
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From inverse problems to neural operators: prediction, mechanism, and generalization of data-driven models
Data-driven models for physical systems share a common structure differing only in model class assumptions, with only mechanism-discovering models capable of generalization.