LNF-NO improves PDE operator learning by multiplicatively fusing a linear component with a nonlinear component, yielding faster training and comparable accuracy across multiple benchmarks.
& Negri, F.Reduced Basis Methods for Partial Differential Equations: An Introduction
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Linear-Nonlinear Fusion Neural Operator for Partial Differential Equations
LNF-NO improves PDE operator learning by multiplicatively fusing a linear component with a nonlinear component, yielding faster training and comparable accuracy across multiple benchmarks.