Elasticity of dense anisotropic carbons: A machine learning model of the structure–property relationship informed by large scale molecular dynamics data

Polewczyk, Franck; Leyssale, Jean-Marc; Aurel, Philippe; Pineau, Nicolas; Denoual, Christophe; Vignoles, Gerard L.; Lafourcade, Paul

doi:10.1016/j.actamat.2024.119851

Acta Materialia

2024

DOI: 10.1016/j.actamat.2024.119851

|View full text |Cite

Elasticity of dense anisotropic carbons: A machine learning model of the structure–property relationship informed by large scale molecular dynamics data

Franck Polewczyk,

Jean-Marc Leyssale,

Philippe Aurel

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A molecular dynamics investigation of laminar pyrocarbons elasticity up to high-temperatures

Polewczyk,

Lafourcade,

Pineau

et al. 2024

Carbon Trends

View full text Add to dashboard Cite

A molecular dynamics investigation of laminar pyrocarbons elasticity up to high-temperatures

Polewczyk,

Lafourcade,

Pineau

et al. 2024

Carbon Trends

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.

Elasticity of dense anisotropic carbons: A machine learning model of the structure–property relationship informed by large scale molecular dynamics data

Cited by 1 publication

References 54 publications

A molecular dynamics investigation of laminar pyrocarbons elasticity up to high-temperatures

A molecular dynamics investigation of laminar pyrocarbons elasticity up to high-temperatures

Contact Info

Product

Resources

About