Random Forest Regression Analysis for Estimating Dielectric Properties in Epoxy Composites Doped with Hybrid Nano Fillers-Reference-Cited by-同舟云学术

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Random Forest Regression Analysis for Estimating Dielectric Properties in Epoxy Composites Doped with Hybrid Nano Fillers

Published:2024-02-28 Issue:12 Volume:63 Page:1297-1311
ISSN:0022-2348
Container-title:Journal of Macromolecular Science, Part B
language:en
Short-container-title:Journal of Macromolecular Science, Part B

Author:

Shingala Bansi¹,Panchal Piyushkumar¹,Thakor Sanketsinh¹,Jain Prince²,Joshi Anand²,Vaja Chandan R.³,Siddharth R. K.²,Rana V. A.³

Affiliation:

1. Department of Applied Science and Humanities, Parul Institute of Technology, Parul University, Vadodara, Gujarat, India

2. Department of Mechatronics Engineering, Parul University, Vadodara, Gujarat, India

3. Department of Physics, Electronics and Space-Science, Gujarat University, Ahmedabad, Gujarat, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00222348.2024.2322189

Reference51 articles.

1. Enhancement in Mechanical Properties of Glass/Epoxy Composites by a Hybrid Combination of Multi-Walled Carbon Nanotubes and Graphene Nanoparticles

2. Influence of carbon nanofiller geometry on EMI shielding and electrical percolation behaviors of polymer composites

3. Combination effect of functionalized high aspect ratio carbonaceous nanofillers and carbon black on electrical, thermal conductivity, dielectric and EMI shielding behavior of co-continuous thermoplastic elastomeric blend composite films

4. Static and dynamic mechanical properties of hybrid polymer composites: A comprehensive review of experimental, micromechanical and simulation approaches

5. Boosting the optical, structural, electrical, and dielectric properties of polystyrene using a hybrid GNP/Cu nanofiller: novel nanocomposites for energy storage applications

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