scholarly journals The Recent Progress on Halide Perovskite-Based Self-Powered Sensors Enabled by Piezoelectric and Triboelectric Effects

2021 ◽  
Vol 1 (1) ◽  
pp. 3-31
Author(s):  
Swathi Ippili ◽  
Venkatraju Jella ◽  
Alphi Maria Thomas ◽  
Soon-Gil Yoon

Sensors have recently gathered significant attention owing to the rapid growth of the Internet of Things (IoT) technology for the real-time monitoring of surroundings and human activities. Particularly, recently discovered nanogenerator-based self-powered sensors are potential candidates to overcome the existing problems of the conventional sensors, including regular monitoring, lifetime of a power unit, and portability. Halide perovskites (HPs), with an excellent photoactive nature, dielectric, piezoelectric, ferroelectric, and pyroelectric properties, have been potential candidates for obtaining flexible and self-powered sensors including light, pressure, and temperature. Additionally, the photo-stimulated dielectric, piezoelectric, and triboelectric properties of HPs make them efficient entrants for developing bimodal and multimode sensors to sense multi-physical signals individually or simultaneously. Therefore, we provide an update on the recent progress in self-powered sensors based on pyroelectric, piezoelectric, and triboelectric effects of HP materials. First, the detailed working mechanism of HP-based piezoelectric, triboelectric, and pyroelectric nanogenerators—operated as self-powered sensors—is presented. Additionally, the effect of light on piezoelectric and triboelectric effects of HPs, which is indispensable in multimode sensor application, is also systematically discussed. Furthermore, the recent advances in nanogenerator-based self-powered bimodal sensors comprising HPs as light-active materials are summarized. Finally, the perspectives and continuing challenges of HP-based self-powered sensors are presented with some opportunities for future development in self-powered multimode sensors.

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2763 ◽  
Author(s):  
Jihong Rao ◽  
Zetong Chen ◽  
Danna Zhao ◽  
Yajiang Yin ◽  
Xiaofeng Wang ◽  
...  

Self-powered skin sensors have attracted significant attention in recent years due to their great potential in medical care, robotics, prosthetics, and sports. More importantly, self-powered skin sensors do not need any energy-supply components like batteries, which allows them to work sustainably and saves them the trouble of replacement of batteries. The self-powered skin sensors are mainly based on energy harvesters, with the device itself generating electrical signals when triggered by the detected stimulus or analyte, such as body motion, touch/pressure, acoustic sound, and chemicals in sweat. Herein, the recent research achievements of self-powered skin sensors are comprehensively and systematically reviewed. According to the different monitoring signals, the self-powered skin sensors are summarized and discussed with a focus on the working mechanism, device structure, and the sensing principle. Based on the recent progress, the key challenges that exist and the opportunities that lie ahead are also discussed.


Small ◽  
2021 ◽  
pp. 2100442
Author(s):  
Zhengxun Lai ◽  
You Meng ◽  
Qi Zhu ◽  
Fei Wang ◽  
Xiuming Bu ◽  
...  

2020 ◽  
Vol 8 (27) ◽  
pp. 13619-13629 ◽  
Author(s):  
Asif Abdullah Khan ◽  
Md Masud Rana ◽  
Guangguang Huang ◽  
Nanqin Mei ◽  
Resul Saritas ◽  
...  

A high-performance perovskite/polymer piezoelectric nanogenerator for next generation self-powered wireless micro/nanodevices.


2016 ◽  
Vol 45 (3) ◽  
pp. 655-689 ◽  
Author(s):  
Yixin Zhao ◽  
Kai Zhu

This article reviews recent progress on hybrid perovskites including crystal/thin-film synthesis, structural/chemical/electro-optical properties, (opto)electronic applications, and research issues/challenges.


Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2384 ◽  
Author(s):  
Hyeonhee Roh ◽  
Inkyum Kim ◽  
Jinsoo Yu ◽  
Daewon Kim

With the great development of the Internet of Things (IoT), the use of sensors have increased rapidly because of the importance in the connection between machines and people. A huge number of IoT sensors consume vast amounts of electrical power for stable operation and they are also used for a wide range of applications. Therefore, sensors need to operate independently, sustainably, and wirelessly to improve their capabilities. In this paper, we propose an orientation and the tilt triboelectric sensor (OT-TES) as a self-powered active sensor, which can simultaneously sense the tilting direction and angle by using the two classical principles of triboelectrification and electrostatic induction. The OT-TES device consists of a rectangular acrylic box containing polytetrafluoroethylene (PTFE) balls moved by gravity. The output voltage and current were 2 V and 20 nA, respectively, with a PTFE ball and Al electrode. The multi-channel system was adopted for measuring the degree and direction of tilt by integrating the results of measured electrical signals from the eight electrodes. This OT-TES can be attached on the equipment for drones or divers to measure their stability. As a result, this proposed device is expected to expand the field of TES, as a sensor for sky and the underwater.


Author(s):  
Genping Meng ◽  
Liping Zhen ◽  
Shihao Sun ◽  
Jun Hai ◽  
Zefan Zhang ◽  
...  

All-inorganic lead halide perovskites have attracted significant attention in artificial light-harvesting systems (ALHSs) due to their superior emission tunability and high light-absorption coefficients. However, their relatively low photoluminescence quantum yield...


2019 ◽  
Author(s):  
◽  
Jheng-Wun Su

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Learning from nature livings, especially those that can respond to the stimuli and change the shape, is attracting increasing interests in a wide variety of research fields. There is a significant need of developing synthetic materials that can mimic these living systems to show dynamic and adaptive shape-changing functions. Although various fabrication methods including molding, micro-fabrication and photolithography have been developed to fabricate the dynamic materials, they all have shown some limits. At present, 3D printing is a promising technique, which provides a cost effective, accurate and customized method to form 3D structures. The recently new emerging technique, 4D printing, which employs the 3D printing to print the active materials for dynamic 3D structures, shows a great potential for various applications such as tissue engineering, flexible electronics, and soft robotics. Despite much recent progress, this technology and its application in 3D dynamic structure fabrication is still in its infancy. My Ph.D. dissertation focuses on 4D printing of programmable polymeric materials that exhibits complex, reversible, shape transformations as well as enriching the printable material library by exploring various active materials for 4D printing technology. Chapter 1 introduces the current development of active materials and methodologies. Much attention is paid to the recent progress and its merits and demerits. Chapter 2 presents a simple and inexpensive 4D printing of waterborne polyurethane paint (PU) composites that are fabricated by mixing PU with micro-size preswollen carboxymethyl cellulose (CMC) and silicon oxide nanoparticle (NPs), respectively. Chapter 3 presents the 4D printing of a commercial polymer, SU-8, which has yet been reported in this field. The self-morphing behaviors of the printed SU-8 structures are induced by spatial control of swelling medium inside the SU-8 matrix. In Chapter 4, machine learning algorithms are applied to evaluate the shape-morphing behaviors of 4D printed objects. After the model optimization by tuning the hyperparameters the obtained machine learning models enable to accurately predict the final curvatures and curving angles of the 4D printed SU-8 structures from given input geometrical information. This initial success show that these data-driven surrogate models can well circumvent the challenge of human centered trial-and-error process in optimizing the printed structures, thereby pushing the research in 4D printing to a new height.


2019 ◽  
Vol 10 (1) ◽  
pp. 431-450 ◽  
Author(s):  
Joseph D. Paulsen

Many objects in nature and industry are wrapped in a thin sheet to enhance their chemical, mechanical, or optical properties. Similarly, there are a variety of methods for wrapping, from pressing a film onto a hard substrate to inflating a closed membrane, to spontaneously wrapping droplets using capillary forces. Each of these settings raises challenging nonlinear problems involving the geometry and mechanics of a thin sheet, often in the context of resolving a geometric incompatibility between two surfaces. Here, we review recent progress in this area, focusing on highly bendable films that are nonetheless hard to stretch, a class of materials that includes polymer films, metal foils, textiles, and graphene, as well as some biological materials. Significant attention is paid to two recent advances: a novel isometry that arises in the doubly-asymptotic limit of high flexibility and weak tensile forcing, and a simple geometric model for predicting the overall shape of an interfacial film while ignoring small-scale wrinkles, crumples, and folds.


Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6748
Author(s):  
Xinran Zhou ◽  
Kaushik Parida ◽  
Oded Halevi ◽  
Shlomo Magdassi ◽  
Pooi See Lee

With the rapid development of wearable electronic systems, the need for stretchable nanogenerators becomes increasingly important for autonomous applications such as the Internet-of-Things. Piezoelectric nanogenerators are of interest for their ability to harvest mechanical energy from the environment with its inherent polarization arising from crystal structures or molecular arrangements of the piezoelectric materials. In this work, 3D printing is used to fabricate a stretchable piezoelectric nanogenerator which can serve as a self-powered sensor based on synthesized oxide–polymer composites.


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