Machine learning strategy to improve impact strength for PP/cellulose composites via selection of biomass fillers-Reference-Cited by-同舟云学术

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Machine learning strategy to improve impact strength for PP/cellulose composites via selection of biomass fillers

Published:2024-05-29 Issue:1 Volume:25 Page:
ISSN:1468-6996
Container-title:Science and Technology of Advanced Materials
language:en
Short-container-title:Science and Technology of Advanced Materials

Author:

Nakayama Koyuru¹^ORCID,Sakakibara Keita¹^ORCID

Affiliation:

1. Research Institute for Sustainable Chemistry, National Institute of Advanced Industrial Science and Technology (AIST), Hiroshima, Japan

Funder

Japan Society for the Promotion of Science

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/14686996.2024.2351356

Reference40 articles.

1. Biofibres and biocomposites

2. Biocomposites reinforced with natural fibers: 2000–2010

3. Review of the recent developments in cellulose nanocomposite processing

4. Commercial application of cellulose nano-composites – A review

5. Nanotechnology and its applications in lignocellulosic composites, a mini review

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