AINeutralarXiv – CS AI · 10h ago6/10
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A Neural Operator-Based Approach to Symbolic Discovery of PDEs
Researchers propose NOMTO, a framework combining neural operators with symbolic equation discovery to identify governing equations from complex data involving nonlocal operators and memory effects. This advancement extends traditional symbolic discovery methods beyond local derivatives, enabling discovery of more realistic physical and mathematical models.