Self-powered silicon PIN photoelectric detection system based on triboelectric nanogenerator

Wang, Jingxi; Xia, Kequan; Liu, Jiale; Li, Tiesong; Zhao, Xinyang; Shen, Bin; Li, Huan; Guo, Jing; Yu, Min; Tang, Wei; Zhu, Zhiyuan

doi:10.1016/j.nanoen.2020.104461

Cited by 33 publications

(21 citation statements)

References 58 publications

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“…In addition, as one of the most crucial parameters affecting the TENG output, the charge density on the friction layer is impressionable to many factors in the environment ( Cheng et al., 2018 ; Kim, 2018 ). Therefore, TENG can also be used as a self-powered environment or chemical sensors to detect the humidity, light intensity, or concentrations of chemical components ( Kim et al., 2018 ; Guo et al., 2014 ; Wang et al., 2020a ). Moreover, it is more important to note that the material selection for fabricating TENG is quite ubiquitous that some functional materials such as ferroelectric, magnetic, or photosensitive materials can be adopted, which furtherly broadens the application range of TENG ( Lee et al., 2016 ; Ren et al., 2017 ; Guo et al., 2020 ).…”

Section: Teng-based Multifunctional Self-powered Sensorsmentioning

confidence: 99%

Hybridized Nanogenerators for Multifunctional Self-Powered Sensing: Principles, Prototypes, and Perspectives

et al. 2020

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Summary Sensors are a key component of the Internet of Things (IoTs) to collect information of environments or objects. Considering the tremendous number and complex working conditions of sensors, multifunction and self-powered feathers are two basic requirements. Nanogenerators are a kind of devices based on the triboelectric, piezoelectric, or pyroelectric effects to harvest ambient energy and then converting to electricity. The hybridized nanogenerators that combined multiple effects in one device have great potential in multifunctional self-powered sensors because of the unique superiority such as generating electrical signals directly, responding to diverse stimuli, etc. This review aims at introducing the latest advancements of hybridized nanogenerators for multifunctional self-powered sensing. Firstly, the principles and sensor prototypes based on TENG are summarized. To avoid signal interference and energy insufficiently, the multifunctional self-powered sensors based on hybridized nanogenerators are reviewed. At last, the challenges and future development of multifunctional self-powered sensors have prospected.

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Section: Teng-based Multifunctional Self-powered Sensorsmentioning

confidence: 99%

Hybridized Nanogenerators for Multifunctional Self-Powered Sensing: Principles, Prototypes, and Perspectives

et al. 2020

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“…The TENGs have four fundamental working modes, namely contact-separation mode, sliding mode, single-electrode mode, and free-standing mode [ 13 , 14 , 15 , 16 ]. With proper working modes, TENGs can fit into different application scenarios, to serve as, for example, micro/nano energy harvesters [ 17 , 18 , 19 ] and self-power sensor systems [ 20 , 21 , 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

A Tubular Flexible Triboelectric Nanogenerator with a Superhydrophobic Surface for Human Motion Detecting

Wang

Zhao

Zeng

et al. 2021

Sensors

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The triboelectric nanogenerator (TENG) is a newly arisen technology for mechanical energy harvesting from the environment, such as raindrops, wind, tides, and so on. It has attracted widespread attention in flexible electronics to serve as self-powered sensors and energy-harvesting devices because of its flexibility, durability, adaptability, and multi-functionalities. In this work, we fabricated a tubular flexible triboelectric nanogenerator (TF-TENG) with energy harvesting and human motion monitoring capabilities by employing polydimethylsiloxane (PDMS) as construction material, and fluorinated ethylene propylene (FEP) films coated with Cu as the triboelectric layer and electrode, serving in a free-standing mode. The tube structure has excellent stretchability that can be stretched up to 400%. Modifying the FEP films to obtain a superhydrophobic surface, the output performance of TF-TENG was increased by at least 100% compared to an untreated one. Finally, as the output of TF-TENG is sensitive to swing angle and frequency, demonstration of real-time monitoring of human motion state was realized when a TF-TENG was worn on the wrist.

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“…There are different types [ 1 , 2 , 3 , 4 ] and manufacturing technologies [ 5 , 6 , 7 ] of Si(Li) p-i-n detectors. For detectors with a large sensitive area, the method of p-type silicon compensation by lithium-ions remains as one of the effective methods [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Physical Processes during the Formation of Silicon-Lithium p-i-n Structures Using Double-Sided Diffusion and Drift Methods

et al. 2021

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In this paper, we described a method of double-sided diffusion and drift of lithium-ions into monocrystalline silicon for the formation of the large-sized, p-i-n structured Si(Li) radiation detectors. The p-i-n structure is a p-n junction with a doped region, where the “i-region” is between the n and the p layers. A well-defined i-region is usually associated with p or n layers with high resistivities. The p-i-n structure is mostly used in diodes and in some types of semiconductor radiation detectors. The uniqueness of this method is that, in this method, the processes of diffusion and drift of lithium-ions, which are the main processes in the formation of Si(Li) p-i-n structures, are produced from both flat sides of cylindrical-shaped monocrystalline silicon, at optimal temperature (T = 420 °C) conditions of diffusion, and subsequently, with synchronous supply of temperature (from 55 to 100 °C) and reverse bias voltage (from 70 to 300 V) during drift of lithium-ions into silicon. Thus, shortening the manufacturing time of the detector and providing a more uniform distribution of lithium-ions in the crystal volume. Since, at present, the development of manufacturing of large-sized Si(Li) detectors is hindered due to difficulties in obtaining a uniformly compensated large area and time-consuming manufacturing process, the proposed method may open up new possibilities in detector manufacturing.

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Self-powered silicon PIN photoelectric detection system based on triboelectric nanogenerator

Cited by 33 publications

References 58 publications

Hybridized Nanogenerators for Multifunctional Self-Powered Sensing: Principles, Prototypes, and Perspectives

Hybridized Nanogenerators for Multifunctional Self-Powered Sensing: Principles, Prototypes, and Perspectives

A Tubular Flexible Triboelectric Nanogenerator with a Superhydrophobic Surface for Human Motion Detecting

Physical Processes during the Formation of Silicon-Lithium p-i-n Structures Using Double-Sided Diffusion and Drift Methods

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