Work

Physics-constrained deep learning for reservoir thermal structure prediction: Enhanced interpretability and extrapolation capability

Year: 2025

Type: article

Source: Water Research

DOI: 10.1016/j.watres.2025.125086

Authors: Jianying Song, Jie Song, Yujun Yi

Institution: Beijing Normal University

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Affordable and clean energy

Open Access status: closed

Funders: National Natural Science Foundation of China, China National Funds for Distinguished Young Scientists, Key Technologies Research and Development Program, National Key Research and Development Program of China, National Science Fund for Distinguished Young Scholars

Awards: G1634526766, G3914969750, G4655421089

OpenAlex ID: W4416893381

FWCI: 1.132

Cites: 43

Cited by: 4

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