Latest Research in Fluid Dynamics

Top Research Topics in Fluid Dynamics

• Fluid Dynamics — 5 papers
• Machine Learning — 4 papers
• Computational Physics — 3 papers
• Numerical Analysis — 2 papers
• Computational Engineering, Finance, and Science — 1 papers
• Audio and Speech Processing — 1 papers
• Fluid Dynamics Simulations and Interactions — 1 papers
• Natural Fiber Reinforced Composites — 1 papers
• Thermography and Photoacoustic Techniques — 1 papers
• Fluid Dynamics and Vibration Analysis — 1 papers

Highest-Cited Papers

1. Recovering Governing Dynamics from Distributed Observations via Exact Spline Merging
2. Efficient model-order reduction via graph autoencoders and operator learning for systems with sharp gradients using a novel point cloud error metric for performance assessment
3. Learned Bow Control on a Measured Bowed-String Model: a Revised Minimum-Bow-Force Law, a Recurrent Controller, and the Domain of a Supervision Ceiling
4. Improving Reduced-Order Rotating Detonation Engine Models with Data Assimilation and Machine Learning
5. Fully Discrete Active Flux Method based on Transported Acoustic Increments for the Compressible Euler Equations
6. A unified explicit phase-field material point method framework for fluid-structure interaction with large deformation and dynamic fracture
7. Ballistic performance of eco-friendly jute–epoxy–natural rubber hybrid composites
8. Corrosion Screening of Greenhouse Structural Steel Pipes Using Cold Infrared Thermography
9. Dynamic Pressure Response and Wave Resistance in Forced Korteweg–DeVries Systems
10. Physics-informed neural networks for viscoelastic fluid flows around a cylinder in a two-dimensional channel
11. PCFlow: Physics-Conditioned Flow Matching for GPR B-Scan Image Synthesis
12. Assessing the Effect of Bend Twist Coupling on Impact Behaviour of Composite Hydrofoils
13. An Aeroelastic Solver Integrating Reformulated-Vortex-Particle and Finite-Element Methods across Non-Conforming Interfaces
14. Thermal-fluid-structural response and POD-RBF stress-field reconstruction of a high-temperature high-pressure control valve
15. Stochastic Operator Inference for reduced-order modeling of capillary wave turbulence using experimental measurements
16. Learning Spectral-Like Mesh-Free Discretisations
17. Computational study of Proper Orthogonal Decomposition methods for parametric approximations
18. Learnable composition for neural operators
19. Efficient Adaptation of ROMs for Unsteady Flows Using Data Assimilation
20. Learning the joint distribution via random-order autoregressive modeling—A unified probabilistic framework for inertial confinement fusion design