Analyses of internal structures and defects in materials using physics-informed neural networks

Characterizing internal structures and defects in materials is a challenging task, often requiring solutions to inverse problems with unknown topology, geometry, material properties, and nonlinear deformation. Here, we present a general framework based on physics-informed neural networks for identif...

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Main Authors: Zhang, Enrui, Dao, Ming, Karniadakis, George Em, Suresh, Subra
其他作者: School of Materials Science and Engineering
格式: Article
語言:English
出版: 2023
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在線閱讀:https://hdl.handle.net/10356/164373
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機構: Nanyang Technological University
語言: English

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