{"total":15,"rows":[{"id":"2511.06802","title":"Neural-Initialized Newton: Accelerating Nonlinear Finite Elements via Operator Learning","created":"2025-11-10","cited_by_count":7,"area":null},{"id":"2412.09009","title":"A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems","created":"2024-12-12","cited_by_count":6,"area":null},{"id":"2504.02459","title":"A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries","created":"2025-04-03","cited_by_count":5,"area":null},{"id":"2602.19475","title":"Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction","created":"2026-02-23","cited_by_count":5,"area":null},{"id":"2406.12264","title":"Projection Methods for Operator Learning and Universal Approximation","created":"2024-06-18","cited_by_count":2,"area":null},{"id":"2409.04067","title":"Preconditioned FEM-based Neural Networks for Solving Incompressible Fluid Flows and Related Inverse Problems","created":"2024-09-06","cited_by_count":2,"area":null},{"id":"2504.13875","title":"A discrete physics-informed training for projection-based reduced order models with neural networks","created":"2025-03-31","cited_by_count":2,"area":null},{"id":"2605.08436","title":"A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2609.36216","title":"Preconditioned Physics-Informed Neural Operator Training","created":"2026-09-28","cited_by_count":1,"area":null},{"id":"2510.10350","title":"Prescribed-Basis Coefficient-to-Coefficient Neural Operator for Partial Differential Equations","created":"2025-10-11","cited_by_count":0,"area":null},{"id":"2601.08104","title":"High-Fidelity Modeling of Stochastic Chemical Dynamics on Complex Manifolds: A Multi-Scale SIREN-PINN Framework for the Curvature-Perturbed Ginzburg-Landau Equation","created":"2026-01-13","cited_by_count":0,"area":null},{"id":"2603.01420","title":"Tackling multiphysics problems via finite element-guided physics-informed operator learning","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2603.03259","title":"Physics-informed post-processing of stabilized finite element solutions for transient convection-dominated problems","created":"2026-03-03","cited_by_count":0,"area":null},{"id":"2604.18261","title":"DeepRitzSplit Neural Operator for Phase-Field Models via Energy Splitting","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2609.02194","title":"Learning the Constitutive Behavior of Materials via Neural Operators and Causal Attention: Case Studies in Plasticity and Damage","created":"2026-09-02","cited_by_count":0,"area":null}],"next_cursor":null}