From processing to properties: Enhancing machine learning models with microstructural information in polymer nanocomposites-Reference-Cited by-同舟云学术

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From processing to properties: Enhancing machine learning models with microstructural information in polymer nanocomposites

Published:2024-11 Issue: Volume:51 Page:102072
ISSN:2452-2139
Container-title:Composites Communications
language:en
Short-container-title:Composites Communications

Author:

Wan Zilong,Chen Siyuan,Feng Xueyang,Sun Zhao-Yan^ORCID

Publisher

Elsevier BV

Reference61 articles.

1. The past, present and future of carbon black as a rubber reinforcing filler – A review;Fan;J. Clean. Prod.,2020

2. Effect of carbon black loading on mechanical, conductivity and ageing properties of natural rubber composites;Azura;Mater. Today: Proc.,2019

3. Influence of viscoelasticity on the tribological behaviour of carbon black filled nitrile rubber (NBR) for lip seal application;Degrange;Wear,2005

4. Integration of life cycle assessment and life cycle costing for the eco-design of rubber products;Dong;Sci. Rep.,2022

5. Mechanical properties of carbon black filled hydrogenated acrylonitrile butadiene rubber for packer compounds;He;Polym. Test.,2016

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