Semi-surrogate modelling of droplets evaporation process via XGBoost integrated CFD simulations

The applications of machine learning (ML) based approach are emerging as possible tools to accelerate CFD simulations. This study proposed a semi-surrogate model for CFD with integration of the cutting-edge ML algorithm, eXtreme Gradient Boosting (XGB), which enlightened a possible pathway to effect...

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Bibliographic Details
Published in:	The Science of the total environment Vol. 895; p. 164968
Main Authors:	Yan, Yihuan, Li, Xueren, Sun, Weijie, Fang, Xiang, He, Fajiang, Tu, Jiyuan
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 15.10.2023
Subjects:	algorithms CFD data collection droplets Droplets evaporation environment evaporation eXtreme gradient boosting (XGB) humidity prediction Semi-surrogate model Supervised machine learning algorithm temperature CFD ANN DNN AI Supervised machine learning algorithm Droplets evaporation RANS XGB Semi-surrogate model RH UDF eXtreme gradient boosting (XGB) ML
ISSN:	0048-9697, 1879-1026, 1879-1026
Online Access:	Get full text
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