journal article·2023-10

A novel way to prepare PbZrO3 nanocomposite films for increasing electrical properties and energy storage performance

Bing Chen, Haiyi Yu, Yan Shao, Yu Bai, Rui Hu, Zhongming Zeng, Fan Zhang, Zhan Jie Wang

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Abstract

The energy storage performance of dielectric materials depends largely on their polarization properties and electric breakdown strength. Nanocomposites have emerged as an effective method for improving these properties. In this study, we propose a novel method to prepare PbZrO 3-Al 2O 3 nanocomposite films by combining chemical solution deposition with thermal evaporation of a metal Al layer. The resulting composite films exhibit a layered distribution of Al 2O 3 nanoparticles (NPs) on the PbZrO 3 matrix, which can be used to control the shape and characteristics of the polarization-electric field ( P- E ) hysteresis loop by varying the thickness of the Al layer. We thoroughly investigated the effects of Al 2O 3 NPs on the microstructure, polarization, leakage current, and energy storage properties of the composite films. Our results show that as the content of Al 2O 3 NPs increases, the property of the composite films gradually evolves from antiferroelectric characteristics to ferroelectric characteristics. Specifically, the maximum polarization, remanent polarization, and electrical breakdown strength increase, while the leakage current decreases. Compared to PbZrO 3 thin films, the electrical breakdown strength (1850 kV/cm) and energy storage density (25.0 J/cm 3 ) of the nanocomposite thin films increased by 189% and 93%, respectively. Our study presents a new method to prepare dielectric nanocomposite films and opens up a new avenue for designing energy storage capacitor materials using nanocomposites.
Source: expertdata · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Ferroelectric and Piezoelectric Materials · Dielectric materials and actuators · Multiferroics and related materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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