{"total":16,"rows":[{"id":"2212.04971","title":"PDE-LEARN: Using Deep Learning to Discover Partial Differential Equations from Noisy, Limited Data","created":"2022-12-09","cited_by_count":20,"area":null},{"id":"2309.04699","title":"Weak-PDE-LEARN: A Weak Form Based Approach to Discovering PDEs From Noisy, Limited Data","created":"2023-09-09","cited_by_count":16,"area":null},{"id":"2505.05869","title":"Generative Discovery of Partial Differential Equations by Learning from Math Handbooks","created":"2025-05-09","cited_by_count":12,"area":null},{"id":"2309.07672","title":"Physics-constrained robust learning of open-form partial differential equations from limited and noisy data","created":"2023-09-14","cited_by_count":8,"area":null},{"id":"2308.10283","title":"Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE Discovery","created":"2023-08-20","cited_by_count":6,"area":null},{"id":"2606.09638","title":"Data-driven discovery of governing differential equations across physical systems","created":"2026-06-08","cited_by_count":3,"area":null},{"id":"2606.30699","title":"Joint discovery of governing partial differential equations from multi-source datasets by competitive optimization","created":"2026-06-29","cited_by_count":1,"area":null},{"id":"2311.05787","title":"Towards stable real-world equation discovery with assessing differentiating quality influence","created":"2023-11-09","cited_by_count":0,"area":null},{"id":"2408.17271","title":"Equation identification for fluid flows via physics-informed neural networks","created":"2024-08-30","cited_by_count":0,"area":null},{"id":"2409.18370","title":"Discovery and inversion of the viscoelastic wave equation in inhomogeneous media","created":"2024-09-27","cited_by_count":0,"area":null},{"id":"2506.10862","title":"OmniFluids: Physics Pre-trained Modeling of Fluid Dynamics","created":"2025-06-12","cited_by_count":0,"area":null},{"id":"2601.17207","title":"NewPINNs: Physics-Informing Neural Networks Using Conventional Solvers for Partial Differential Equations","created":"2026-01-23","cited_by_count":0,"area":null},{"id":"2605.11524","title":"EqOD: Symmetry-Informed Stability Selection for PDE Identification","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2607.23753","title":"On the post-hoc Evaluation of PDE Discovery: A Multifaceted Challenge of Scientific Advancement","created":"2026-07-26","cited_by_count":0,"area":null},{"id":"2607.29665","title":"Freeze, Then Select: Structured Field Adapters and Stability-Validated Weak Selection for PDE Discovery from Sparse Observations","created":"2026-07-31","cited_by_count":0,"area":null},{"id":"2608.27475","title":"Hypothesize, Evaluate, Refine: A Scientific Agent for PDE Discovery with Unknown Spatial Coefficient Fields","created":"2026-08-19","cited_by_count":0,"area":null}],"next_cursor":null}