AI RESEARCH
Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements
arXiv CS.LG
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ArXi:2509.00203v2 Announce Type: replace Parameterized partial differential equations (PDEs) underpin the mathematical modeling of complex systems in diverse domains, including engineering, healthcare, and physics. A central challenge in using PDEs for real-world applications is to accurately infer the parameters, particularly when the parameters exhibit non-linear and spatiotemporal variations.