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.
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Computational fluid dynamics

book-chapter Full Text OpenAlex

Magnetohydrodynamic convection in a heat-generating ferrofluid within a corrugated cavity containing a rotating cylinder

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Water jet angle prediction in supersonic crossflows: Euler–Lagrange and machine learning approaches

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An effect of velocity slip and MHD on Hiemenz stagnation flow of ternary nanofluid with heat and mass transfer

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Thermal scrutinization of time-dependent flow of nanoparticles over a rotating sphere with autocatalytic chemical reaction

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Waste discharge concentration and quadratic thermal radiation influences on time-dependent nanofluid flow over a porous rotating sphere

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Numerical simulation of nanofluid flow across a slender stretching Riga plate subjected to heat source and activation energy

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Viscous dissipation and Joule heating effects of Carreau nanofluid axisymmetric flow past unsteady radially stretching porous disk

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A computational simulation for peristaltic flow of thermally radiative sisko nanofluid with viscous dissipation, double diffusion convection and induced magnetic field

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CFD simulations of cyclist aerodynamics: Impact of computational parameters

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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 1392 FWCI114.12990499

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

article Full Text OpenAlex 1157 FWCI99.16650862

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

article Full Text OpenAlex 960 FWCI128.80284039

Physics-Informed Neural Networks for Heat Transfer Problems

article Full Text OpenAlex 928 FWCI83.65898876

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

article Full Text OpenAlex 545 FWCI46.11446697

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

article Full Text OpenAlex 507 FWCI259.99533875

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

article Full Text OpenAlex 496 FWCI43.42907963

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

article Full Text OpenAlex 484 FWCI42.84972595

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 480 FWCI43.70628652

Enhancing computational fluid dynamics with machine learning

article Full Text OpenAlex 419 FWCI214.86794268