Deep learning for property prediction of natural fiber polymer composites

Abstract The increasing availability of diverse experimental and computational data has accelerated the application of deep learning (DL) techniques for predicting polymer properties. A literature review was conducted to show recent advances in DL applied to this field. For example, Li et al. (2023)...

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Bibliografiske detaljer

Principais autores:	Ivan P. Malashin, Dmitry Martysyuk, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Vadim Tynchenko
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2025-07-01
Serier:	Scientific Reports
Fag:	Natural fiber composites Deep learning Mechanical property prediction Polymer matrix reinforcement
Online adgang:	https://doi.org/10.1038/s41598-025-10841-1
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