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A note on thermodynamic restriction on turbulence modelling

The International journal of heat and fluid flow, 2001-10, Vol.22 (5), p.495-499

2001

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Approximate equations for the properties of dry steam from a generalization of Callendar's equation

The International journal of heat and fluid flow, 1983, Vol.4 (1), p.27-31

Brereton, D.H.

1983

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A stress–strain lag Eddy viscosity model for unsteady mean flow

International journal of heat and fluid flow, 2006-10, Vol.27 (5), p.821-830

2006

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Deep reinforcement learning for turbulence modeling in large eddy simulations

The International journal of heat and fluid flow, 2023-02, Vol.99, p.109094, Article 109094

2023

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Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence

The International journal of heat and fluid flow, 2021-08, Vol.90, p.108816, Article 108816

2021

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Predicting high-fidelity multiphysics data from low-fidelity fluid flow and transport solvers using physics-informed neural networks

The International journal of heat and fluid flow, 2022-08, Vol.96, p.109002, Article 109002

2022

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Computational and experimental analysis of supersonic air ejector: Turbulence modeling and assessment of 3D effects

The International journal of heat and fluid flow, 2015-12, Vol.56, p.305-316

2015

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POD-based surrogate modeling of transitional flows using an adaptive sampling in Gaussian process

The International journal of heat and fluid flow, 2020-08, Vol.84, p.108596, Article 108596

2020

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An iterative machine-learning framework for RANS turbulence modeling

The International journal of heat and fluid flow, 2021-08, Vol.90, p.108822, Article 108822

2021

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Flow and thermal fields modeling in jet impingement configurations using a Reynolds stress turbulence closure within the RANS and Sensitized-RANS framework

The International journal of heat and fluid flow, 2024-02, Vol.105, p.109264, Article 109264

2024

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Data-driven CFD modeling of turbulent flows through complex structures

The International journal of heat and fluid flow, 2016-12, Vol.62, p.138-149

2016

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On the explainability of machine-learning-assisted turbulence modeling for transonic flows

The International journal of heat and fluid flow, 2022-10, Vol.97, p.109038, Article 109038

2022

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Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning

The International journal of heat and fluid flow, 2023-06, Vol.101, p.109139, Article 109139

2023

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The development of algebraic stress models using a novel evolutionary algorithm

The International journal of heat and fluid flow, 2017-12, Vol.68, p.298-318

2017

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Data-driven turbulence modeling in separated flows considering physical mechanism analysis

The International journal of heat and fluid flow, 2022-08, Vol.96, p.109004, Article 109004

2022

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Hybrid RANS/LES modeling of hypersonic turbulent boundary layers with cold walls

The International journal of heat and fluid flow, 2024-07, Vol.107, p.109334, Article 109334

2024

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Turbulence characteristics of corner flow and modification of elliptic relaxation function in Phit–f k–ε model

The International journal of heat and fluid flow, 2024-07, Vol.107, p.109373, Article 109373

2024

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Nonlinear eddy diffusivity models reflecting buoyancy effect for wall-shear flows and heat transfer

International journal of heat and fluid flow, 2006-08, Vol.27 (4), p.671-683

2006

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Wall-modeled LES of shock-wave/boundary layer interaction

The International journal of heat and fluid flow, 2022-12, Vol.98, p.109071, Article 109071

2022

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Stochastic modeling of multiple scalar mixing in a three-stream concentric coaxial jet based on one-dimensional turbulence

The International journal of heat and fluid flow, 2023-12, Vol.104, p.109235, Article 109235

2023

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Stochastic modeling of surface scalar-flux fluctuations in turbulent channel flow using one-dimensional turbulence

The International journal of heat and fluid flow, 2022-02, Vol.93, p.108889, Article 108889

2022

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Non-equilibrium wall functions for large Eddy simulations of complex turbulent flows and heat transfer

The International journal of heat and fluid flow, 2021-04, Vol.88, p.108758, Article 108758

2021

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On frozen-RANS approaches in data-driven turbulence modeling: Practical relevance of turbulent scale consistency during closure inference and application

The International journal of heat and fluid flow, 2022-10, Vol.97, p.109017, Article 109017

2022

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A wall stress model to predict high-Reynolds number flow over rough walls

The International journal of heat and fluid flow, 2023-04, Vol.100, p.109116, Article 109116

2023

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A realizable and scale-consistent data-driven non-linear eddy viscosity modeling framework for arbitrary regression algorithms

The International journal of heat and fluid flow, 2022-10, Vol.97, p.109018, Article 109018

2022

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A note on thermodynamic restriction on turbulence modelling

Approximate equations for the properties of dry steam from a generalization of Callendar's equation

A stress–strain lag Eddy viscosity model for unsteady mean flow

Deep reinforcement learning for turbulence modeling in large eddy simulations

Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence

Predicting high-fidelity multiphysics data from low-fidelity fluid flow and transport solvers using physics-informed neural networks

Computational and experimental analysis of supersonic air ejector: Turbulence modeling and assessment of 3D effects

POD-based surrogate modeling of transitional flows using an adaptive sampling in Gaussian process

An iterative machine-learning framework for RANS turbulence modeling

Flow and thermal fields modeling in jet impingement configurations using a Reynolds stress turbulence closure within the RANS and Sensitized-RANS framework

Data-driven CFD modeling of turbulent flows through complex structures

On the explainability of machine-learning-assisted turbulence modeling for transonic flows

Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning

The development of algebraic stress models using a novel evolutionary algorithm

Data-driven turbulence modeling in separated flows considering physical mechanism analysis

Hybrid RANS/LES modeling of hypersonic turbulent boundary layers with cold walls

Turbulence characteristics of corner flow and modification of elliptic relaxation function in Phit–f k–ε model

Nonlinear eddy diffusivity models reflecting buoyancy effect for wall-shear flows and heat transfer

Wall-modeled LES of shock-wave/boundary layer interaction

Stochastic modeling of multiple scalar mixing in a three-stream concentric coaxial jet based on one-dimensional turbulence

Stochastic modeling of surface scalar-flux fluctuations in turbulent channel flow using one-dimensional turbulence

Non-equilibrium wall functions for large Eddy simulations of complex turbulent flows and heat transfer

On frozen-RANS approaches in data-driven turbulence modeling: Practical relevance of turbulent scale consistency during closure inference and application

A wall stress model to predict high-Reynolds number flow over rough walls

A realizable and scale-consistent data-driven non-linear eddy viscosity modeling framework for arbitrary regression algorithms

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