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Hybrid physics‐informed neural network with parametric identification for modeling bridge temperature distribution.

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Title: Hybrid physics‐informed neural network with parametric identification for modeling bridge temperature distribution.
Authors: Wang, Yanjia1, Yang, Dong1,2, Yuan, Ye1, Zhang, Jing1,3, Au, Francis T. K.1, francis.au@hku.hk
Source: Computer-Aided Civil & Infrastructure Engineering; 9/9/2025, Vol. 40 Issue 22, p3503-3524, 22p
Database: Applied Science & Technology Source
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An: 188365822
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PubType: Academic Journal
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  Data: Hybrid physics‐informed neural network with parametric identification for modeling bridge temperature distribution.
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  Data: <searchLink fieldCode="JN" term="%22Computer-Aided+Civil+%26+Infrastructure+Engineering%22">Computer-Aided Civil & Infrastructure Engineering</searchLink>; 9/9/2025, Vol. 40 Issue 22, p3503-3524, 22p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188365822
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        Value: 10.1111/mice.13436
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        Text: English
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              Text: 9/9/2025
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