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Application of a Coupling Agent to Improve the Dielectric Properties of Polymer-Based Nanocomposites
Published on: September 19, 2020
2D-Nanofiller-Based Polymer Nanocomposites for Capacitive Energy Storage Applications
Sumit Bera1, Maninderjeet Singh2, Rukshan Thantirige1
1Department of Chemistry, Physics and Atmospheric Science Jackson State University 1400 John R. Lynch Street Jackson MS 392017 USA.
Polymer nanocomposites with 2D nanomaterials offer superior energy storage compared to traditional capacitors. These advanced materials enhance energy density, thermal stability, and mechanical strength for next-generation electronics.
Area of Science:
- Materials Science
- Energy Storage
- Nanotechnology
Background:
- High-energy-density storage devices are crucial for modern electronics, including batteries and supercapacitors.
- Conventional polymer capacitors have limitations in energy density and low-temperature performance.
- Polymer nanocomposites incorporating 2D nanomaterials show promise for overcoming these limitations.
Purpose of the Study:
- To review recent advancements in 2D-nanomaterial-based polymer nanocomposites for energy storage.
- To discuss the impact of various 2D nanofillers on composite properties and device performance.
- To explore theoretical and machine learning approaches for designing these advanced materials.
Main Methods:
- Review of literature on 2D nanomaterial-polymer nanocomposites.
- Analysis of different types of 2D nanofillers (conducting, semiconducting, dielectric).
- Discussion of experimental and theoretical studies on material properties and device performance.
Main Results:
- 2D-nanomaterial-based polymer nanocomposites exhibit enhanced dielectric properties, thermal stability, and mechanical strength.
- Specific nanofillers like graphene, MXenes, MoS2, and hBN significantly improve capacitive energy density.
- These composites show potential for ultrahigh-capacitive-energy-density dielectric energy storage applications.
Conclusions:
- 2D-nanomaterial-polymer nanocomposites are ideal for high-energy-density dielectric energy storage.
- Further research and machine learning guided design can accelerate the development of advanced energy storage devices.
- Challenges and opportunities exist in optimizing these materials for next-generation applications.
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