Transforming Energy Through Computational Excellence: Co-Optimized Machine-Learned Manifold Models for Large Eddy Simulation of Turbulent Combustion

Transforming Energy Through Computational Excellence: Co-Optimized Machine-Learned Manifold Models for Large Eddy Simulation of Turbulent Combustion

Research output: NREL › Fact Sheet

Abstract

Summary of the challenge, approach, results, and impact of co-optimized machine-learned manifold models for research of large eddy simulation of turbulent combustion.

Original language	American English
State	Published - 2022

NREL Publication Number

NREL/FS-6A70-83715

Keywords

artificial neural network
machine learning
principal component analysis
reduced-order manifold models

Access to Document

https://www.nrel.gov/docs/fy23osti/83715.pdf

Cite this

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title = "Transforming Energy Through Computational Excellence: Co-Optimized Machine-Learned Manifold Models for Large Eddy Simulation of Turbulent Combustion",

abstract = "Summary of the challenge, approach, results, and impact of co-optimized machine-learned manifold models for research of large eddy simulation of turbulent combustion.",

keywords = "artificial neural network, machine learning, principal component analysis, reduced-order manifold models",

author = "NREL",

year = "2022",

language = "American English",

type = "Other",

}

TY - GEN

T1 - Transforming Energy Through Computational Excellence: Co-Optimized Machine-Learned Manifold Models for Large Eddy Simulation of Turbulent Combustion

AU - NREL, null

PY - 2022

Y1 - 2022

N2 - Summary of the challenge, approach, results, and impact of co-optimized machine-learned manifold models for research of large eddy simulation of turbulent combustion.

AB - Summary of the challenge, approach, results, and impact of co-optimized machine-learned manifold models for research of large eddy simulation of turbulent combustion.

KW - artificial neural network

KW - machine learning

KW - principal component analysis

KW - reduced-order manifold models

M3 - Fact Sheet

ER -

Transforming Energy Through Computational Excellence: Co-Optimized Machine-Learned Manifold Models for Large Eddy Simulation of Turbulent Combustion

Abstract

NREL Publication Number

Keywords

Access to Document

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Cite this