Comparative analysis of machine learning models for predicting dielectric properties in MoS2 nanofiller-reinforced epoxy composites

Comparative analysis of machine learning models for predicting dielectric properties in MoS2 nanofiller-reinforced epoxy composites

This research investigates the dielectric properties of nano epoxy composites by incorporating various concentrations of MoS2 into epoxy resin. The study explores the impact of synthesized nanoparticles on undoped epoxy composites, specifically focusing on their potential applications in dielectric...

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Bibliographic Details
Main Authors: Atul D Watpade, Sanketsinh Thakor, Prince Jain, Prajna P. Mohapatra, Chandan R. Vaja, Anand Joshi, Dimple V. Shah, Mohammad Tariqul Islam
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Ain Shams Engineering Journal
Subjects:
Epoxy composites
Dielectric properties
Machine learning
MoS2
Nanofillers
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447924001291

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http://www.sciencedirect.com/science/article/pii/S2090447924001291

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