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

• Main Authors: Zhang, Enrui, Dao, Ming, Karniadakis, George Em, Suresh, Subra
• Other Authors: School of Materials Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Materials; Materials Parameters; Meshfree Methods
• Online Access: https://hdl.handle.net/10356/164373
• Institution: Nanyang Technological University

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...