专题:Fluid Dynamics and Turbulent Flows

This cluster of papers focuses on the dynamics and characteristics of turbulent flows, including boundary layer transition, heat transfer, large-eddy simulation, vortex dynamics, and Reynolds number scaling. It also explores topics such as particle image velocimetry, coherent structures, and hydrodynamic turbulence.
最新文献
Modeling bioconvective mixed convection of non-newtonian nanofluids using finite difference approach: A Jeffrey fluid model

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Anisotropic turbulent flow of water through converging wavy-aluminum-circular pipe with five half-cycles: insight into the significance of four-branch minor-inlet angle

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On Existence of Sadovskii Vortex Patch: A Touching Pair of Symmetric Counter-Rotating Uniform Vortices

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Three-dimensional MHD flow of a radiative Eyring–Powell nanofluid: Exploring Hall effects and heat transfer

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Thermal Assessment of Maxwell–Sutterby Fluid with Bio-Convection and Activation Energy Effects induced by Riga Plate via Levenberg–Marquardt Algorithm

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Strategies for energy-efficient flow control leveraging deep reinforcement learning

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LESnets (Large-Eddy Simulation nets): Physics-informed neural operator for large-eddy simulation of turbulence

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Effects of the Cattaneo–Christov Flux Model on Thermally Radiative Flow of Tetra Hybrid Nanofluid with Surface Tension Gradient

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Local Thermal Non-Equilibrium Effects on Marangoni Convective Flow of Casson Fluid with Elastic Deformation: Perspective of Cattaneo–Christov Flux Model

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Machine learning study for three-dimensional magnetohydrodynamics Casson fluid flow with Cattaneo-Christov heat flux using linear regression technique: Application in engineering science and technology

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近5年高被引文献
Physics-informed neural networks (PINNs) for fluid mechanics: a review

review Full Text OpenAlex 1145 FWCI12.371

Understanding and Mitigating Gradient Flow Pathologies in Physics-Informed Neural Networks

article Full Text OpenAlex 950 FWCI71.724

Particle Image Velocimetry for MATLAB: Accuracy and enhanced algorithms in PIVlab

article Full Text OpenAlex 830 FWCI94.844

Physics-Informed Neural Networks for Heat Transfer Problems

article Full Text OpenAlex 776 FWCI58.902

Machine learning–accelerated computational fluid dynamics

article Full Text OpenAlex 731 FWCI60.805

Artificial neural networking (ANN) analysis for heat and entropy generation in flow of non‐Newtonian fluid between two rotating disks

article Full Text OpenAlex 474 FWCI36.604

Enhancement in Thermal Energy and Solute Particles Using Hybrid Nanoparticles by Engaging Activation Energy and Chemical Reaction over a Parabolic Surface via Finite Element Approach

article Full Text OpenAlex 473 FWCI37.321

Learning the solution operator of parametric partial differential equations with physics-informed DeepONets

article Full Text OpenAlex 437 FWCI31.955

Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems

article Full Text OpenAlex 419 FWCI48.498

On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks

article Full Text OpenAlex 397 FWCI31.254