期刊论文

Wang, H

英文

International Communications in Heat and Mass Transfer

0735-1933

2023

147

106940

10.1016/j.icheatmasstransfer.2023.106940

This work has been supported by the National Key Research and Development Program of China (No. 2022YFB3303402 ), the Project of the National Natural Science Foundation of China ( 11972155 ), the Peacock Program for Overseas High-Level Talents Introduction of Shenzhen City ( KQTD20200820113110016 ), and the Project supported by the Provincial Natural Science Foundation of Hunan ( 2020JJ4945 ).

本校为其他机构

Inverse heat conduction problems (IHCPs) are problems of estimating unknown quantities of interest (QoIs) of the heat conduction with given temperature observations. The challenge of IHCPs is that it is usually ill-posed since the observations are noisy, and the estimations of QoIs are generally not unique or unstable, especially when there are unknown spatially varying QoIs. In this study, an ensemble physics-informed neural network (E-PINN) is proposed to handle function estimation and uncertainty quantification of space-dependent IHCPs. The distinctive characteristics of E-PINN are ensemble...