{"total":40,"rows":[{"id":"2102.01010","title":"Machine learning accelerated computational fluid dynamics","created":"2021-01-28","cited_by_count":471,"area":null},{"id":"2111.13802","title":"Factorized Fourier Neural Operators","created":"2021-11-27","cited_by_count":249,"area":null},{"id":"2110.02085","title":"Enhancing Computational Fluid Dynamics with Machine Learning","created":"2021-10-05","cited_by_count":138,"area":null},{"id":"2212.07564","title":"AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions","created":"2022-12-15","cited_by_count":82,"area":null},{"id":"2306.01776","title":"From Zero to Turbulence: Generative Modeling for 3D Flow Simulation","created":"2023-05-29","cited_by_count":49,"area":null},{"id":"2210.02573","title":"Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN","created":"2022-10-05","cited_by_count":45,"area":null},{"id":"2104.10873","title":"Mosaic Flows: A Transferable Deep Learning Framework for Solving PDEs on Unseen Domains","created":"2021-04-22","cited_by_count":37,"area":null},{"id":"2211.00713","title":"MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations","created":"2022-11-01","cited_by_count":26,"area":null},{"id":"2203.11025","title":"Multigrid-augmented deep learning preconditioners for the Helmholtz equation","created":"2022-03-14","cited_by_count":25,"area":null},{"id":"2112.05620","title":"How to Avoid Trivial Solutions in Physics-Informed Neural Networks","created":"2021-12-10","cited_by_count":15,"area":null},{"id":"2105.03332","title":"Finite volume method network for acceleration of unsteady computational fluid dynamics: non-reacting and reacting flows","created":"2021-05-07","cited_by_count":12,"area":null},{"id":"2306.17486","title":"Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation using Compact Implicit Layers","created":"2023-06-30","cited_by_count":11,"area":null},{"id":"2108.07667","title":"SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets","created":"2021-08-17","cited_by_count":8,"area":null},{"id":"2206.14709","title":"An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations","created":"2022-06-29","cited_by_count":5,"area":null},{"id":"2307.13538","title":"INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations","created":"2023-07-25","cited_by_count":5,"area":null},{"id":"2405.17509","title":"Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations","created":"2024-05-27","cited_by_count":5,"area":null},{"id":"2109.02183","title":"Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils","created":"2021-09-05","cited_by_count":4,"area":null},{"id":"2210.09546","title":"An Improved Structured Mesh Generation Method Based on Physics-informed Neural Networks","created":"2022-10-18","cited_by_count":4,"area":null},{"id":"2310.05469","title":"Learning to Predict Structural Vibrations","created":"2023-10-09","cited_by_count":4,"area":null},{"id":"2112.05489","title":"Surrogate-data-enriched Physics-Aware Neural Networks","created":"2021-12-10","cited_by_count":3,"area":null},{"id":"2302.10891","title":"An Implicit GNN Solver for Poisson-like problems","created":"2023-02-06","cited_by_count":3,"area":null},{"id":"2308.14258","title":"Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers","created":"2023-08-28","cited_by_count":3,"area":null},{"id":"2407.01560","title":"3DMeshNet: A Three-Dimensional Differential Neural Network for Structured Mesh Generation","created":"2024-05-07","cited_by_count":3,"area":null},{"id":"2502.06837","title":"Comparison of CNN-based deep learning architectures for unsteady CFD acceleration on small datasets","created":"2025-02-06","cited_by_count":3,"area":null},{"id":"2112.07054","title":"Graph network for learning bi-directional physics","created":"2021-12-13","cited_by_count":2,"area":null},{"id":"2112.08447","title":"Positional Encoding Augmented GAN for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areas","created":"2021-12-15","cited_by_count":2,"area":null},{"id":"2203.14154","title":"NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows","created":"2022-03-26","cited_by_count":2,"area":null},{"id":"2505.18857","title":"Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems","created":"2025-05-24","cited_by_count":2,"area":null},{"id":"2203.14961","title":"A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps","created":"2022-03-29","cited_by_count":1,"area":null},{"id":"2306.10624","title":"Meta-Learning for Airflow Simulations with Graph Neural Networks","created":"2023-06-18","cited_by_count":1,"area":null},{"id":"2404.11766","title":"End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver","created":"2024-04-17","cited_by_count":1,"area":null},{"id":"2408.06486","title":"Implicit Neural Representation For Accurate CFD Flow Field Prediction","created":"2024-08-12","cited_by_count":1,"area":null},{"id":"2409.14660","title":"Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence","created":"2024-09-23","cited_by_count":1,"area":null},{"id":"2504.08217","title":"DrivAer Transformer: A high-precision and fast prediction method for vehicle aerodynamic drag coefficient based on the DrivAerNet++ dataset","created":"2025-04-11","cited_by_count":1,"area":null},{"id":"2211.00224","title":"SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates","created":"2022-11-01","cited_by_count":0,"area":null},{"id":"2405.07441","title":"Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework","created":"2024-05-13","cited_by_count":0,"area":null},{"id":"2409.07175","title":"Coupling Machine Learning Local Predictions with a Computational Fluid Dynamics Solver to Accelerate Transient Buoyant Plume Simulations","created":"2024-09-11","cited_by_count":0,"area":null},{"id":"2505.11766","title":"Reformulating Neural Operators in $d+1$ Dimensions for Embedding Evolution","created":"2025-05-17","cited_by_count":0,"area":null},{"id":"2604.26097","title":"Momentum-Conserving Graph Neural Networks for Deformable Objects","created":"2026-04-28","cited_by_count":0,"area":null},{"id":"2605.04198","title":"Deep Wave Network for Modeling Multi-Scale Physical Dynamics","created":"2026-05-05","cited_by_count":0,"area":null}],"next_cursor":null}