{"total":19,"rows":[{"id":"2408.12171","title":"Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey","created":"2024-08-22","cited_by_count":28,"area":null},{"id":"2305.08757","title":"Physics Informed Token Transformer for Solving Partial Differential Equations","created":"2023-05-15","cited_by_count":21,"area":null},{"id":"2312.05583","title":"Better Neural PDE Solvers Through Data-Free Mesh Movers","created":"2023-12-09","cited_by_count":9,"area":null},{"id":"2402.08383","title":"Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution","created":"2024-02-13","cited_by_count":8,"area":null},{"id":"2311.06554","title":"PGODE: Towards High-quality System Dynamics Modeling","created":"2023-11-11","cited_by_count":7,"area":null},{"id":"2305.14286","title":"Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics","created":"2023-05-23","cited_by_count":6,"area":null},{"id":"2505.20349","title":"FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation","created":"2025-05-25","cited_by_count":5,"area":null},{"id":"2306.08292","title":"A reinforcement learning strategy for p-adaptation in high order solvers","created":"2023-06-14","cited_by_count":4,"area":null},{"id":"2312.08625","title":"Graph Network Surrogate Model for Subsurface Flow Optimization","created":"2023-12-14","cited_by_count":4,"area":null},{"id":"2407.00382","title":"Towards Universal Mesh Movement Networks","created":"2024-06-29","cited_by_count":4,"area":null},{"id":"2410.03779","title":"EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions","created":"2024-10-03","cited_by_count":4,"area":null},{"id":"2508.18565","title":"Improving Long-term Autoregressive Spatiotemporal Predictions: A Proof of Concept with Fluid Dynamics","created":"2025-08-25","cited_by_count":4,"area":null},{"id":"2406.06060","title":"Learning Physical Simulation with Message Passing Transformer","created":"2024-06-10","cited_by_count":3,"area":null},{"id":"2508.08615","title":"UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss","created":"2025-08-12","cited_by_count":2,"area":null},{"id":"2410.03107","title":"MBDS: A Multi-Body Dynamics Simulation Dataset for Graph Networks Simulators","created":"2024-10-04","cited_by_count":1,"area":null},{"id":"2511.05234","title":"Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning","created":"2025-11-07","cited_by_count":1,"area":null},{"id":"2311.05256","title":"Latent Task-Specific Graph Network Simulators","created":"2023-11-09","cited_by_count":0,"area":null},{"id":"2508.19199","title":"Planning-Query-Guided Model Generation for Model-Based Deformable Object Manipulation","created":"2025-08-26","cited_by_count":0,"area":null},{"id":"2609.15620","title":"Where to Compute and How to Interact: Operator-Readable Adaptation with Gauge-Aware Transport","created":"2026-09-14","cited_by_count":0,"area":null}],"next_cursor":null}