Comparative analysis of machine learning models for predicting dielectric properties in MoS2 nanofiller-reinforced epoxy composites-Reference-Cited by-同舟云学术

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

Published:2024-06 Issue:6 Volume:15 Page:102754
ISSN:2090-4479
Container-title:Ain Shams Engineering Journal
language:en
Short-container-title:Ain Shams Engineering Journal

Author:

Watpade Atul D,Thakor Sanketsinh^ORCID,Jain Prince^ORCID,Mohapatra Prajna P.,Vaja Chandan R.,Joshi Anand^ORCID,Shah Dimple V.,Tariqul Islam Mohammad

Funder

Universiti Kebangsaan Malaysia

Publisher

Elsevier BV

Reference45 articles.

1. Compositional influence of synthesized magnetic Nanoparticles on epoxy composites: dielectric, magnetic and optical Characteristics;Sharma;J Macromol Sci Part B,2023

2. Microwave dielectric relaxation spectroscopy of Nano filler loaded epoxy composite;Thakor;Indian J Pure Appl Phys,2021

3. Characterization of mechanical properties of epoxy/nanohybrid composites by nanoindentation;Zhang;Nanotechnol Rev,2020

4. Understanding the dielectric properties of epoxy molybdenum disulfide nanocomposites;Nagachandrika;Power Res J CPRI,2017

5. Thermal conductivity of epoxy composites modified by microspheric molybdenum disulfide;Liu;Polym Bull,2023

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