Inverse flow prediction using ensemble PINNs and uncertainty quantification-Reference-Cited by-同舟云学术

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Inverse flow prediction using ensemble PINNs and uncertainty quantification

Published:2024-07 Issue: Volume:226 Page:125480
ISSN:0017-9310
Container-title:International Journal of Heat and Mass Transfer
language:en
Short-container-title:International Journal of Heat and Mass Transfer

Author:

Soibam Jerol,Aslanidou Ioanna^ORCID,Kyprianidis Konstantinos,Fdhila Rebei Bel

Publisher

Elsevier BV

Reference58 articles.

1. Application of CFD technology to electronic thermal management;Lee;IEEE Trans. Compon. Packaging Manuf. Technol., Part B,1995

2. A CFD analysis of an electronics cooling enclosure for application in telecommunication systems;Boukhanouf;Appl. Therm. Eng.,2010

3. Application of a CFD tool for system-level thermal simulation;Lee;IEEE Trans. Compon. Packaging Manuf. Technol., Part A,1994

4. Principles of heat transfer;Kreith,2016

5. Inverse Heat Transfer Problems;Alifanov,2012

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Physics-informed neural network simulation of conjugate heat transfer in manifold microchannel heat sinks for high-power IGBT cooling;International Communications in Heat and Mass Transfer;2024-12

2. A data-physic driven method for gear fault diagnosis using PINN and pseudo-dynamic features;Measurement;2024-08

3. A Physics-Informed Neural Network Approach for Solving the Engineering Eigenvalue Problem;2024

4. A Physics-Informed Neural Network Approach for Solving the Engineering Eigenvalue Problem;2024

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