Latest Research in Compressible Flow Field Estimation

Top Research Topics in Compressible Flow Field Estimation

• Fluid Dynamics — 15 papers
• Model Reduction and Neural Networks — 7 papers
• Computational Fluid Dynamics and Aerodynamics — 5 papers
• Fluid Dynamics and Turbulent Flows — 3 papers
• Numerical Analysis — 3 papers
• Machine Learning — 2 papers
• Oceanographic and Atmospheric Processes — 2 papers
• Turbomachinery Performance and Optimization — 2 papers
• High-Velocity Impact and Material Behavior — 2 papers
• Advanced Numerical Methods in Computational Mathematics — 1 papers

Highest-Cited Papers

1. Geometric Vorticity Control ver.4 with Supplementary Material ver.3
2. Effects of secondary flow on particle distribution and transport in rough-wall turbulent channel flows
3. Experimental study on the mechanical property degradation of different regions in corroded cold-formed thick-walled square steel tubes
4. Mollified-sharp decomposition: a probabilistic regularization of parametric POD for shock-bearing flows
5. A Cummins-equation-based physics-informed neural network for response prediction and system identification of wave energy converters
6. Fredholm Backstepping with Heymann Pre-Feedback for Linearized Navier--Stokes 2D Channel
7. The Partially Averaged Navier–Stokes Paradigm: Recent Advances Toward Predictive Scale-Resolving Turbulence Simulation
8. Data Assimilation of Compressibility Corrections in Spalart–Allmaras Turbulence Model for Hypersonic Flow
9. Lagrangian-Eulerian learning of flow field and trajectories with TrajectoryFlowNet
10. High-Fidelity Digital Twin Data Models by Randomized Dynamic Mode Decomposition and Deep Learning with Applications in Fluid Dynamics
11. Quantitatively mapping the Eady model onto a two-layer quasi-geostrophic model
12. Disentangling 3D Magnetic Field Geometry from Turbulence: A Polarization-Based Classification Method
13. The shallow--water limit of linear water waves over a discontinuous bottom
14. From Spectral–Covariance Transfer to Validated Engineering Wall Laws: Nikuradse Roughness, Closure Discrimination, and Riblet Transport Diagnostics
15. From Spectral–Covariance Transfer to Validated Engineering Wall Laws: Nikuradse Roughness, Closure Discrimination, and Riblet Transport Diagnostics
16. Embracing Flow Unsteadiness: A High-Throughput Learning Platform Enables Vortex-Exploiting Bioinspired Propulsion
17. Drag and lift characteristics of near-wall multi–particle systems in linear shear flow
18. Strengthened Silicate Glasses by Residual Stress: Depth of Compression and Surface Flaws Stability Conditions
19. A learning-based joint flow and kinematic state estimation for bodies in highly disturbed flows
20. Investigation on flow instability and shock wave structures of submerged supersonic gas jet based on dynamic adaptive mesh refinement

Sub-Regions

• Cellular and Composite Structures — 26 papers
• Fluid Dynamics — 19 papers
• Model Reduction and Neural Networks — 16 papers
• Fluid Dynamics and Turbulent Flows — 15 papers
• Computational Fluid Dynamics and Aerodynamics — 11 papers
• Turbomachinery Performance and Optimization — 5 papers