AI RESEARCH
PDEAgent-Bench: A Multi-Metric, Multi-Library Benchmark for PDE Solver Generation
arXiv CS.AI
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ArXi:2605.09636v1 Announce Type: new PDE-to-solver code generation aims to automatically synthesize executable numerical solvers from partial differential equation (PDE) specifications. This task requires not only understanding the mathematical structure of PDEs, but also selecting appropriate discretization schemes and solver configurations, and correctly implementing the resulting formulations in finite-element method (FEM) libraries. Existing code generation benchmarks mainly evaluate syntactic correctness, or success on predefined test cases.