Citing Articles For: Large eddy simulations of wall jets with coflow for the study of turbulent Prandtl number variations and data-driven modeling

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Data-driven turbulence modeling for fluid flow and heat transfer in peripheral subchannels of a rod bundle

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A-priori evaluation of data-driven models for large-eddy simulations in Rayleigh–Bénard convection

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International Journal of Heat and Fluid Flow 107 109377 (2024)

No title available

R. D. Sandberg

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R. D. Sandberg

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R. D. Sandberg

Towards robust and accurate Reynolds-averaged closures for natural convection via multi-objective CFD-driven machine learning

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International Journal of Heat and Mass Transfer 187 122557 (2022)

Reynolds-averaged stress and scalar-flux closures via symbolic regression for vertical natural convection

Xiaowei Xu, Andrew S.H. Ooi, and Richard D. Sandberg

International Journal of Heat and Fluid Flow 96 108981 (2022)

Machine-learning for turbulence and heat-flux model development: A review of challenges associated with distinct physical phenomena and progress to date

Richard D. Sandberg and Yaomin Zhao

International Journal of Heat and Fluid Flow 95 108983 (2022)

A construction and training data correction method for deep learning turbulence model of Reynolds averaged Navier–Stokes equations

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AIP Advances 12 065002 (2022)

Perspectives on machine learning-augmented Reynolds-averaged and large eddy simulation models of turbulence

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RANS predictions of trailing-edge slot flows using heat-flux closures developed with CFD-driven machine learning

Chitrarth Lav, Ali Haghiri, and Richard Sandberg

J. Glob. Power Propuls. Soc. 1 (2021)

Heat transfer and fluid flow characteristics of a turbulent wall jet with a wavy wall

Archana Kumari and Amitesh Kumar

International Journal of Heat and Fluid Flow 87 108749 (2021)

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Articles Citing

Large eddy simulations of wall jets with coflow for the study of turbulent Prandtl number variations and data-driven modeling

Multiscale Data-Driven RANS Closure for Trailing Edge Cutback Film Cooling Flows

Realizability-constrained machine learning for turbulence closures in wake flows

Deep learning-based turbulence closure models for film cooling: Turbulent diffusion coefficient and anisotropic Reynolds stress model

Development of New Turbulent Prandtl Number Models for Low- and Medium-Prandtl-Number Fluids via Multi-Gene Gene Expression Programming

Improving a Two-Equation Eddy-Viscosity Turbulence Model for High-Rayleigh-Number Natural-Convection Flows Using Machine Learning

Enhancing thermal accuracy in film cooling applications: Integrating data-driven heat flux with k-ω SST model

Data-driven turbulence modeling for fluid flow and heat transfer in peripheral subchannels of a rod bundle

Thermal analysis of a turbulent wall jet over an adiabatic wavy surface

A-priori evaluation of data-driven models for large-eddy simulations in Rayleigh–Bénard convection

No title available

No title available

No title available

Towards robust and accurate Reynolds-averaged closures for natural convection via multi-objective CFD-driven machine learning

Reynolds-averaged stress and scalar-flux closures via symbolic regression for vertical natural convection

Machine-learning for turbulence and heat-flux model development: A review of challenges associated with distinct physical phenomena and progress to date

A construction and training data correction method for deep learning turbulence model of Reynolds averaged Navier–Stokes equations

Perspectives on machine learning-augmented Reynolds-averaged and large eddy simulation models of turbulence

RANS predictions of trailing-edge slot flows using heat-flux closures developed with CFD-driven machine learning

Heat transfer and fluid flow characteristics of a turbulent wall jet with a wavy wall

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