A Short Review of the Literature on the Multiscale Modeling of Nanoparticle-Reinforced Composites

Bang, Jinho; Bae, Jinho; Jung, Jongwon; Yang, Beomjoo

doi:10.1007/s42493-022-00083-y

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 Short Review of the Literature on the Multiscale Modeling of Nanoparticle-Reinforced Composites

Cited by 5 publications

References 49 publications

Application of Machine Learning to Predict the Engineering Characteristics of Construction Material

Application of Machine Learning to Predict the Engineering Characteristics of Construction Material

Multiscale fatigue life prediction model for CFRP laminates considering the mechanical degradation of its constituents and the local stress concentration of the matrix

Utilization of artificial interior stone sludge as fine aggregate in controlled low-strength material (CLSM)

Contact Info

Product

Resources

About