Defect promoted photothermoelectric effect in densely aligned ZnO nanorod arrays for self-powered position-sensitive photodetection
Year: 2021
Type: article
Abstract: Sustainable light energy from ambient environment has attracted particular attention to meet the ever-growing need of small-scale electronics. The modulation of intercorrelated thermal and electronic transport is one of the crucial aspects for reliable photothermoelectric electronics. Herein, a defect-promoted photothermoelectric effect is demonstrated in densely aligned ZnO nanorod array with rich lattice defects. The defect-rich ZnO device delivers high electrical conductivity and large Seebeck coefficient to enable significant improvement of photothermoelectric energy conversion and self-powered photodetection . The position sensitivity reaches approximately 0.19 mV mm −1 , and the temperature gradient induced electric field makes up for the suppression in the photothermoelectric process. The synergism between intrinsic defects and extra temperature field plays an important role in promoting the photothermoelectric properties of dense ZnO nanorod array. This study is interesting for interpreting the thermo-phototronic phenomena as well as demonstrating the possibility of defect engineering and phonon engineering to enable highly efficient light energy scavenging and self-powered photodetection.
Source: Journal of Materiomics
Authors: Xinxin Du, Weiliang Tian, Ziqi Zhang, Bin Hui, Jiahui Pan, Jianhua Sun, Kewei Zhang
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,750
Funders: National Natural Science Foundation of China, Xinjiang Production and Construction Corps, Taishan Scholar Foundation of Shandong Province, Taishan Scholar Project of Shandong Province, Qingdao University, State Key Laboratory of Bio-Fibers and Eco-Textiles, Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology, Guangxi University
OpenAlex ID: W3213409097
