AWhat changed
Implements PINN problem specification, geometry/boundary handling and training workflows, with residual-based adaptive refinement that adds training points at high sampled residuals.
Scientific scope
Implements PINN problem specification, geometry/boundary handling and training workflows, with residual-based adaptive refinement that adds training points at high sampled residuals. Four original authors; stars are institutional affiliations, not equal-contribution marks. Software/RAR contribution distinct from original PINN method. Inherits derivative approximation theory; sampling/optimization and quadrature errors remain. RAR Monte Carlo stopping is not a rigorous global error certificate or unrestricted PDE convergence.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Four original authors; stars are institutional affiliations, not equal-contribution marks. Software/RAR contribution distinct from original PINN method. Inherits derivative approximation theory; sampling/optimization and quadrature errors remain. RAR Monte Carlo stopping is not a rigorous global error certificate or unrestricted PDE convergence.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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