Learning only the Stokes boundary correction on an exact free-space core yields a 5–16× more data-efficient operator than black-box DeepONet, with geometric generalization controlled by descriptor invariance and training coverage.
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Solver Exactness, Learned Flexibility: Equivariant Boundary-Correction Operators for Stokes Flow
Learning only the Stokes boundary correction on an exact free-space core yields a 5–16× more data-efficient operator than black-box DeepONet, with geometric generalization controlled by descriptor invariance and training coverage.