Deep learning for property prediction of natural fiber polymer composites

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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Main Authors: Ivan P. Malashin, Dmitry Martysyuk, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Vadim Tynchenko
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Natural fiber composites
Deep learning
Mechanical property prediction
Polymer matrix reinforcement
Online Access:https://doi.org/10.1038/s41598-025-10841-1
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https://doi.org/10.1038/s41598-025-10841-1

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