材料科学
钙钛矿(结构)
能量收集
压电
复合数
光电子学
纳米技术
复合材料
能量(信号处理)
化学工程
统计
数学
工程类
作者
Suvankar Mondal,Suvankar Poddar,Souvik Bhattacharjee,Soumen Maiti,Anibrata Banerjee,Kalyan Kumar Chattopadhyay
出处
期刊:Nano Energy
[Elsevier]
日期:2023-07-12
卷期号:115: 108689-108689
被引量:14
标识
DOI:10.1016/j.nanoen.2023.108689
摘要
Lead-free inorganic perovskites have emerged as a promising material for energy harvesting applications, owing to their superior optoelectronic properties. This enables the insertion of lead-free halide perovskites into polyvinylidene difluoride (PVDF) to feasibly enhance its piezoelectric coefficient. Consequently, piezoelectric nanogenerators based on PVDF composite have evolved as a futuristic, sustainable, and renewable energy alternative due to their flexible, durable, and nontoxic behavior. Herein, we realized a novel composite by incorporating different mass-fractions of pre-synthesized CsCuCl3 particles in the polymer matrix. Notably, the composite containing 4 wt% CsCuCl3 perovskite nucleates an optimum electroactive phase fraction of about ∼93 %. A first-principles investigation is also carried out in order to fully comprehend the interfacial interaction of the PVDF dipole with the CsCuCl3 system. Thereafter, the piezo-sensors are fabricated utilizing the composites, where the 4 wt% CsCuCl3/PVDF- based device delivered optimal output performance owing to its highest electroactive phase. This optimized device, viz., PNG 4 achieves an open-circuit voltage and short-circuit current of ∼73.2 V and ∼5.44 μA, respectively. Besides, the optimized device could operate as a piezo-resistive sensor as well as a pressure sensor. An excellent sensing performance was achieved from the PNG 4 device, where the sensing parameter (∆II0) reached values as high as ∼98.7. The optimized device is efficient in the low-pressure region and exhibits a high sensitivity of 13.8 kPa−1 with notable response ≤26ms and recovery time≤75ms. Furthermore, the device is capable of sensing different bending states with a sensitivity of 0.5/degree, which proves its potential for applications in human health care monitoring regarding self-powered real-time respiratory monitoring systems.
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