Dielectric Characterization and Machine Learning-Based Predictions in Polymer Composites with Mixed Nanoparticles

IF 1.2 4区工程技术 Q4 POLYMER SCIENCE

Journal of Macromolecular Science Part B-Physics Pub Date : 2024-06-28 DOI:10.1080/00222348.2024.2372522

Parvathanani Rajendra Kumar, B Madhav Rao, Chaitanya Kishore Reddy Maddireddy, Sanketsinh Thakor, Chandan R Vaja, Krishna Prakash, Prince Jain

引用次数: 0

Abstract

Our research described in this manuscript investigated the dielectric properties and structural characteristics of Bisphenol-A epoxy resin composites infused with various concentrations (5 wt.%, 10...

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混合纳米粒子聚合物复合材料的介电特性和基于机器学习的预测

我们在本手稿中描述的研究调查了注入不同浓度（5 wt.%、10 wt.%、20 wt.%）双酚 A 环氧树脂复合材料的介电性能和结构特征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Macromolecular Science Part B-Physics 工程技术-高分子科学

CiteScore

2.50

自引率

21.40%

发文量

审稿时长

2.3 months

期刊介绍： Devoted to the publication of significant fundamental contributions to the physics of macromolecular solids and liquids, both synthetic and natural, this international journal publishes original research in all of the areas generally included in both polymer solid state and liquid physics. This authoritative journal contains papers reporting research in transition mechanisms and structure-property relationships, the physics of polymer solutions and melts, of glassy and rubbery amorphous solids, and the physics of individual polymer molecules.