Data-driven physical fields reconstruction of supercritical-pressure flow in regenerative cooling channel using POD-AE reduced-order model

Jiang, Wenwei; Pan, Tao; Jiang, Genghui; Sun, Zhaoyou; Liu, Huayu; Zhou, Zhiyuan; Ruan, Bo; Yang, Kai; Gao, Xiaowei

doi:10.1016/j.ijheatmasstransfer.2023.124699

International Journal of Heat and Mass Transfer

2023

DOI: 10.1016/j.ijheatmasstransfer.2023.124699

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Data-driven physical fields reconstruction of supercritical-pressure flow in regenerative cooling channel using POD-AE reduced-order model

Wenwei Jiang,

Tao Pan,

Genghui Jiang

et al.

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Data-driven physical fields reconstruction of supercritical-pressure flow in regenerative cooling channel using POD-AE reduced-order model

Cited by 4 publications

References 43 publications

Prediction of particle agglomeration during nanocolloid drying using machine learning and reduced-order modeling

Prediction of particle agglomeration during nanocolloid drying using machine learning and reduced-order modeling

A coupled data-physics computational framework for temperature, residual stress, and distortion modeling in autoclave process of composite materials

Fast reconstruction of boiler numerical physical field based on proper orthogonal decomposition and conditional deep convolutional generative adversarial networks

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