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

• المؤلفون الرئيسيون: Zhang, Enrui, Dao, Ming, Karniadakis, George Em, Suresh, Subra
• مؤلفون آخرون: School of Materials Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Materials; Materials Parameters; Meshfree Methods
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/164373
• المؤسسة: 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...