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Photo-thermoelectric generator integrated in graphene-based actuator for self-powered sensing function

作     者:Peidi Zhou Jian Lin Wei Zhang Zhiling Luo Luzhuo Chen Peidi Zhou;Jian Lin;Wei Zhang;Zhiling Luo;Luzhuo Chen

作者机构:Fujian Provincial Key Laboratory of Quantum Manipulation and New Energy MaterialsCollege of Physics and EnergyFujian Normal UniversityFuzhou 350117China Fujian Provincial Collaborative Innovation Center for Advanced High-Field Superconducting Materials and EngineeringFuzhou 350117China Fujian Provincial Engineering Technology Research Center of Solar Energy Conversion and Energy StorageFuzhou 350117China 

出 版 物:《Nano Research》 (纳米研究(英文版))

年 卷 期:2022年第15卷第6期

页      面:5376-5383页

核心收录:

学科分类:0808[工学-电气工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0811[工学-控制科学与工程] 0702[理学-物理学] 

基  金:supported by the National Natural Science Foundation of China(Nos.51773039 and 11974076) Natural Science Foundation of Fujian Province(No.2020J02036) Program for New Century Excellent Talents in University of Fujian Province(No.J1-1318). 

主  题:photo-thermoelectric effect generator light-driven actuator self-powered graphene 

摘      要:Smart actuators integrated with sensing functions are taking a significant role in constructing intelligent robots.However,the detection of sensing signals in most actuators requires external electrical power,lacking in the self-powered feature.Herein,we report a graphene-based light-driven actuator with self-powered sensing function,which is designed by integrating a photothermoelectric generator into the actuator intelligently.When one part of the actuator is irradiated by near-infrared light,it shows a deformation with bending curvature up to 1.5 cm^(−1),owing to the mismatch volume changes between two layers of the actuator.Meanwhile,the temperature difference across the actuator generates a voltage signal due to the photo-thermoelectric effect.The Seebeck coefficient is higher than 40μV/K.Furthermore,the self-powered voltage signal is consistent with the deformation trend,which can be used to characterize the deformation state of actuator without external electrical power.We further demonstrate a gripper and a bionic hand.Their deformations mimic the motions of human hand(or finger),even making complex gestures.Concurrently,they can output self-powered voltage signals for sensing.We hope this research will pave a new way for selfpowered devices,state-of-the-art intelligent robots,and other integrated multi-functional systems.

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