Latest Research in Model Reduction and Neural Networks
4 research papers · 2026 median publication year
Top Research Topics in Model Reduction and Neural Networks
- Fluid Dynamics — 2 papers
- Model Reduction and Neural Networks — 1 papers
- Machine Learning — 1 papers
Highest-Cited Papers
- Structure-Aware U-Net for Deep-Learning Super-Resolution Reconstruction of Turbulent Flows
- Bulk-to-Wall Observability in Rarefied Hypersonic Flow: Moment Limits and Incident Half-Range Sufficiency
- Self-Augmented Diffusion Guidance for Physics-Informed Generation
- Physics-Guided Generative Surrogates for Parametric Rarefied Flows with Neural-Field Auto-Decoders: A Pipeline-Level Study of Flow Matching and Diffusion