期刊
NANO ENERGY
卷 64, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.nanoen.2019.103985
关键词
Particle network; Permittivity; Polymer composite; Coarse-grained molecular dynamics simulations; Theoretical model; Percolation
类别
资金
- National Key Research and Development Program of China [2016YFB0401501]
- National Natural Science Foundation of China [51703070, U1501244]
- Program for Chang Jiang Scholars and Innovative Research Teams in Universities [IRT_17R40]
- Guangdong Innovative Research Team Program [2013C102]
- Guangdong Provincial Key Laboratory of Optical Information Materials and Technology [2017B030301007]
- MOE International Laboratory for Optical Information Technologies
- 111 Project
- National Supercomputer Center in Guangzhou (NSCC-GZ)
Energy storage and energy harvesting are the effective strategies to solve the energy and environmental crises. Dielectric polymer composites with high permittivity and energy density are extremely desired for the energy devices. However, there is a great deviation of effective permittivity between the real polymer composite and the ideal model, limiting their applications. In the present work, we adopt the coarse-grained molecular dynamics simulations to study the construction of particle network and the structure-property relationship, aiming to design polymer composite with high effective permittivity at low particle loading. Based on the analysis of topological structure of particle network, we propose three strategies, including grafting polymer chains to particles, selective locating into diblock copolymer and tuning moderate particle-matrix interaction. In particular, if the matrix chains are directly grafted to the particles, the network forms at very low particle loading, i.e., very low percolation threshold is achieved. Constructing the particle network opens a new way to design high permittivity of dielectric polymer composite, which is essential for their practical applications such as dielectric capacitors and triboelectric nanogenerators.
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