Reference health

Machine-Learnt Closure Models with Embedded Geometry Independencetraining Framework for Large-Eddy Simulations in Natural Convection

https://doi.org/10.2139/ssrn.4673116
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34/34 checkable references clean · checked 2026-08-29

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

5 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 34 checked references that resolve
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Evaluation of subgrid-scale models using an accurately simulated turbulent flow
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Perspectives on machine learning-augmented Reynolds-averaged and large eddy simulation models of turbulence
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Laminar and Turbulent Natural Convection in the Annulus Between Horizontal Concentric Cylinders
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Super-resolution reconstruction of turbulent flows with machine learning
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resolves10.1016/j.ijheatfluidflow.2006.03.008
LES, T-RANS and hybrid simulations of thermal convection at high Ra numbers
resolves10.1016/S0168-9274(99)00141-5
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resolves10.1103/PhysRevFluids.3.114606
Decomposition of the Reynolds stress from filtered data
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An Experimental Study of Natural Convection Heat Transfer in Concentric and Eccentric Horizontal Cylindrical Annuli
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Modelling of Natural Convection Flows with Large Temperature Differences: A Benchmark Problem for Low Mach Number Solvers. Part 1. Reference Solutions
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A-priori evaluation of data-driven models for large-eddy simulations in natural convection
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Turbulent natural convection of gases in horizontal cylindrical annuli at cryogenic temperatures
resolves10.1016/S0142-727X(02)00167-4
Advances in large eddy simulation methodology for complex flows
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A dynamic subgrid-scale model for compressible turbulence and scalar transport
resolves10.1017/jfm.2017.387
Changes in the boundary-layer structure at the edge of the ultimate regime in vertical natural convection
resolves10.1023/A:1009995426001
Subgrid-Scale Stress Modelling Based on the Square of the Velocity Gradient Tensor
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Compressible Direct Numerical Simulation of Low-Pressure Turbines—Part I: Methodology
resolves10.1016/j.jcp.2018.08.016
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A General Class of Commutative Filters for LES in Complex Geometries
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Subgrid-scale scalar flux modelling based on optimal estimation theory and machine-learning procedures
resolves10.1016/j.ijheatfluidflow.2007.06.001
A complete and irreducible dynamic SGS heat-flux modelling based on the strain rate tensor for large-eddy simulation of thermal convection
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Investigations of data-driven closure for subgrid-scale stress in large-eddy simulation
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Subgrid-scale model for large-eddy simulation of isotropic turbulent flows using an artificial neural network
The 5 references without a DOI — listed, not checked
no DOI — not checkedPhotographic studies of natural convection between concentric cylinders
no DOI — not checkedEquations des gaz turbulents compressibles
no DOI — not checkedApplication of gene expression programming to a-posteriori LES modeling of a Taylor Green vortex
no DOI — not checkedref33
no DOI — not checkedRANS turbulence model development using CFD-driven machine learning
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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