A Machine Learning Framework to Predict the Tensile Stress of Natural Rubber: Based on Molecular Dyn...
A Machine Learning Framework to Predict the Tensile Stress of Natural Rubber: Based on Molecular Dynamics Simulation Data
About this item
Full title
Author / Creator
Huang, Yongdi , Chen, Qionghai , Zhang, Zhiyu , Gao, Ke , Hu, Anwen , Dong, Yining , Liu, Jun and Cui, Lihong
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
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More information
Scope and Contents
Contents
Natural rubber (NR), with its excellent mechanical properties, has been attracting considerable scientific and technological attention. Through molecular dynamics (MD) simulations, the effects of key structural factors on tensile stress at the molecular level can be examined. However, this high-precision method is computationally inefficient and ti...
Alternative Titles
Full title
A Machine Learning Framework to Predict the Tensile Stress of Natural Rubber: Based on Molecular Dynamics Simulation Data
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9103449
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9103449
Other Identifiers
ISSN
2073-4360
E-ISSN
2073-4360
DOI
10.3390/polym14091897
