A machine learning method of accelerating multiscale analysis for spatially varying microstructures

Li, Shengya; Hou, Shujuan

doi:10.1016/j.ijmecsci.2023.108952

International Journal of Mechanical Sciences

2024

DOI: 10.1016/j.ijmecsci.2023.108952

|View full text |Cite

A machine learning method of accelerating multiscale analysis for spatially varying microstructures

Shengya Li,

Shujuan Hou

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 6 publications

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Characterization and property prediction of fibre structures within discontinuous-fibre reinforced polymer matrix composites using 3D fibre cells assisted by contrastive learning

Zhou,

Hubert

2024

Composites Part A: Applied Science and Manufacturing

View full text Add to dashboard Cite

Characterization and property prediction of fibre structures within discontinuous-fibre reinforced polymer matrix composites using 3D fibre cells assisted by contrastive learning

Zhou,

Hubert

2024

Composites Part A: Applied Science and Manufacturing

View full text Add to dashboard Cite

An ANN-based concurrent multiscale damage evolution model for hierarchical fiber-reinforced composites

Han,

Huang,

Zheng

et al. 2025

Composites Science and Technology

View full text Add to dashboard Cite

Informatics-enhanced prediction of failure strength in skeletal muscle tissue

Tang,

Liu,

Mao

et al. 2024

Engineering Fracture Mechanics

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A machine learning method of accelerating multiscale analysis for spatially varying microstructures

Cited by 6 publications

References 68 publications

Characterization and property prediction of fibre structures within discontinuous-fibre reinforced polymer matrix composites using 3D fibre cells assisted by contrastive learning

Characterization and property prediction of fibre structures within discontinuous-fibre reinforced polymer matrix composites using 3D fibre cells assisted by contrastive learning

An ANN-based concurrent multiscale damage evolution model for hierarchical fiber-reinforced composites

Informatics-enhanced prediction of failure strength in skeletal muscle tissue

Contact Info

Product

Resources

About