{"total":19,"rows":[{"id":"2504.02843","title":"Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks","created":"2025-03-19","cited_by_count":25,"area":"diffusion"},{"id":"2506.07902","title":"FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling","created":"2025-06-09","cited_by_count":20,"area":"diffusion"},{"id":"2408.00157","title":"Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations","created":"2024-07-31","cited_by_count":16,"area":"diffusion"},{"id":"2408.02965","title":"Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator","created":"2024-08-06","cited_by_count":12,"area":"diffusion"},{"id":"2506.00214","title":"Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments","created":"2025-05-30","cited_by_count":8,"area":"diffusion"},{"id":"2407.00735","title":"Generative prediction of flow fields around an obstacle using the diffusion model","created":"2024-06-30","cited_by_count":6,"area":"diffusion"},{"id":"2602.21469","title":"D-Flow SGLD: Source-Space Posterior Sampling for Scientific Inverse Problems with Flow Matching","created":"2026-02-25","cited_by_count":6,"area":"diffusion"},{"id":"2506.03111","title":"Rectified Flows for Fast Multiscale Fluid Flow Modeling","created":"2025-06-03","cited_by_count":4,"area":"diffusion"},{"id":"2411.16417","title":"Comparison of Generative Learning Methods for Turbulence Surrogates","created":"2024-11-25","cited_by_count":1,"area":"diffusion"},{"id":"2510.06637","title":"Control-Augmented Autoregressive Diffusion for Data Assimilation","created":"2025-10-08","cited_by_count":1,"area":"diffusion"},{"id":"2602.17089","title":"Synergizing Transport-Based Generative Models and Latent Geometry for Stochastic Closure Modeling","created":"2026-02-19","cited_by_count":1,"area":"diffusion"},{"id":"2510.04325","title":"FoilDiff: A Hybrid Transformer Backbone for Diffusion-based Modelling of 2D Airfoil Flow Fields","created":"2025-10-05","cited_by_count":0,"area":"diffusion"},{"id":"2512.24813","title":"Learning Temporally Consistent Turbulence Between Sparse Snapshots via Diffusion Models","created":"2025-12-31","cited_by_count":0,"area":"diffusion"},{"id":"2601.07946","title":"Coupled Diffusion-Encoder Models for Reconstruction of Flow Fields","created":"2026-01-12","cited_by_count":0,"area":"diffusion"},{"id":"2606.00988","title":"Data Enrichment for Symbolic Regression Using Diffusion Models","created":"2026-05-31","cited_by_count":0,"area":"diffusion"},{"id":"2606.15023","title":"Multiscale Hypersonic Boundary Layer Reconstruction via Spectral Binning and Subdomain-wise Conditional Diffusion","created":"2026-06-12","cited_by_count":0,"area":"diffusion"},{"id":"2606.22084","title":"Patched Flow Matching: Generative Wall-Pressure Reconstruction Beyond Training-Domain Scales from Sparse Sensors","created":"2026-06-20","cited_by_count":0,"area":"diffusion"},{"id":"2607.13022","title":"A Shortcut to Statistically Steady-State Turbulence with Flow Matching","created":"2026-07-14","cited_by_count":0,"area":"diffusion"},{"id":"2610.10430","title":"Conditional Flow Matching for Generation of 3D Multi-variable Instantaneous Urban Microclimate Fields","created":"2026-10-07","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}