CPINNs: A coupled physics-informed neural networks for the closed-loop geothermal system-Reference-Cited by-同舟云学术

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CPINNs: A coupled physics-informed neural networks for the closed-loop geothermal system

Published:2023-02 Issue: Volume:132 Page:161-179
ISSN:0898-1221
Container-title:Computers & Mathematics with Applications
language:en
Short-container-title:Computers & Mathematics with Applications

Author:

Zhang Wen,Li Jian

Publisher

Elsevier BV

Subject

Computational Mathematics,Computational Theory and Mathematics,Modeling and Simulation

Reference81 articles.

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5. Ground source heat pumpsgeothermal energy for anyone, anywhere: current worldwide activity;Curtis,2005

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1. The coupled physical-informed neural networks for the two phase magnetohydrodynamic flows;Computers & Mathematics with Applications;2024-07

2. TDOR-MPINNs: Multi-output physics-informed neural networks based on time differential order reduction for solving coupled Klein–Gordon–Zakharov systems;Results in Applied Mathematics;2024-05

3. Knowledge-integrated deep learning for predicting stochastic thermal regime of embankment in permafrost region;Journal of Rock Mechanics and Geotechnical Engineering;2024-05

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