Noise Detection System Based on Noise Triboelectric Nanogenerator and Synaptic Transistors

A new triboelectric nanogenerator based on a multi-material stacking structure achieves efficient power conversion from discrete mechanical movement

“…[6][7][8][9][10] Nowadays, TENGs are thought to be a new kind of lightweight energy source that can hopefully provide reliable power support for the expansion of the Internet of Things (IoT). [11][12][13] For reacting to ambient mechanical motion in the most convenient and active manner, vertical contact separation (CS-TENG) is a ubiquitous working mode used in existing high-performance TENG designs. Benefiting from the discrepancy in electron-capturing ability between the different triboelectric layers, these TENGs achieve greater charge transfer efficiency and output voltage.…”

“…6–10 Nowadays, TENGs are thought to be a new kind of lightweight energy source that can hopefully provide reliable power support for the expansion of the Internet of Things (IoT). 11–13…”

Boosting the output performance of triboelectric nanogenerators via surface engineering and structure designing

“…As an emerging energy conversion method, TENGs can convert ambient mechanical energy, such as wind, 9 water flow, 10,11 and human motion, 12 into electrical energy. 13 To date, various types of TENGs have been applied in different fields, such as wearable electronics, [14][15][16] energy harvesting, 17,18 self-powered sensors, [19][20][21] flame retardants, 22 high-voltage power sources, 23,24 and electromagnetic interference shielding. 25 TENGs were first invented to harvest mechanical energy by Wang's group in 2012.…”

Power-Efficient Gas-Sensing and Synaptic Diodes Based on Lateral Pentacene/a-IGZO PN Junctions

“…Integration of sensor and neuromorphic devices has attracted much research interest in artificial intelligence systems due to their high-efficiency performance by converging data collection, computing, and storage together. − Among the integrated sensory systems mimicking various bionic perceptions including visual, auditory, tactile, and sensorimotor perceptions, the olfactory system is of much complexity. − Current research of neuromorphic olfactory systems often adopts an integrated design of conventional gas sensors with memristors. , Shen et al developed an artificial olfactory system by integrating gas sensors, memristors, and electrochemical actuators, which could sense, memorize, and make self-protection action for ammonia . Synaptic devices that can directly employ gases as the stimulus signals are expected to reduce the system complexity and power consumption for the olfactory system.…”