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Learning in the Transverse Subspace: A Minimal Representation for Divergence-Free Operator Learning

This story is from 2026-09-30. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.35884v1 Announce Type: new Abstract: Divergence-free vector fields are fundamental state variables in incompressible flows and many PDE systems. Redundant parameterizations, including Neural Conservation Law (NCL) potentials, map multiple auxiliary representations to the same physical fi…

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  1. 2026-09-30 04:00 · arXiv cs.LG
    Learning in the Transverse Subspace: A Minimal Representation for Divergence-Free Operator Learning

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