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A physics‐informed neural network framework based on fatigue indicator parameters for very high cycle fatigue life prediction of an additively manufactured titanium alloy.

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Title: A physics‐informed neural network framework based on fatigue indicator parameters for very high cycle fatigue life prediction of an additively manufactured titanium alloy.
Authors: Li, Hang1 (AUTHOR), Sun, Guanze1 (AUTHOR), Tian, Zhao1,2 (AUTHOR), Huang, Kezhi1 (AUTHOR), Zhao, Zihua1 (AUTHOR) zhzh@buaa.edu.cn
Source: Fatigue & Fracture of Engineering Materials & Structures. Sep2024, Vol. 47 Issue 9, p3171-3188. 18p.
Database: Academic Search Ultimate
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        Value: 10.1111/ffe.14363
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        Text: English
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            NameFull: Sun, Guanze
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            – D: 01
              M: 09
              Text: Sep2024
              Type: published
              Y: 2024
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