Fracture prediction of hydrogel using machine learning and inhomogeneous multiscale network

Fracture prediction of hydrogel using machine learning and inhomogeneous multiscale network

Hydrogels are soft polymeric materials with promising applications in biomedical fields. Understanding their fracture behavior is crucial for optimizing device design and performance. However, predicting hydrogel fracture is challenging due to the complex interplay between material properties and en...

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Bibliographic Details
Main Authors: Zheng, Shoujing, You, Hao, Lam, K. Y., Li, Hua
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Hydrogel
Fracture
Online Access:https://hdl.handle.net/10356/174665

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