Defect states contributed nanoscale contact electrification at ZnO nanowires packed film surfaces

Yiding Song, Nan Wang, Mohamed M. Fadlallah, Shuxia Tao, Ya Yang, Zhong Lin Wang (Corresponding author)

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

21 Citaten (Scopus)

Samenvatting

Efficient conversion of mechanical energy in our surrounding environment into electric power has become a promising strategy for meeting the ever-increasing energy consumption of small and distributed electronics. The contact-electrification-based triboelectric nanogenerators are one of the emerging devices to achieve such energy conversion. However, conventional contact electrifications between two insulators are limited by their low current density and alternating current output. Here we report a nanoscale contact electrification induced direct current output based on the flow of electrons from the defect states of the ZnO nanowires-packed film to the contact sliding conductive AFM tip. Combining experimental materials characterization and density functional theory (DFT) calculations, the direct current output is closely related to the concentration of oxygen vacancy defect states on the surface of ZnO nanowires: the higher the oxygen vacancy concentration, the higher the current output. Under optimized conditions, we obtain an ultrahigh current density of ~108 A m-2, which is several orders of magnitude higher than that of the conventional contact electrification and other effects. This work provides a new route of utilizing defect states contributed contact electrification for realizing nanoscale mechanical energy scavenging.

Originele taal-2Engels
Artikelnummer105406
Aantal pagina's10
TijdschriftNano Energy
Volume79
DOI's
StatusGepubliceerd - jan. 2021

Financiering

Y.S., N.W. and M.F. contributed equally. This work was supported by the National Key R&D Program of China (Grant No. 2016YFA0202701 ), the National Natural Science Foundation of China (Grant No. 51472055 ), External Cooperation Program of BIC, Chinese Academy of Sciences (Grant No. 121411KYS820150028 ), the 2015 Annual Beijing Talents Fund (Grant No. 2015000021223ZK32 ), Qingdao National Laboratory for Marine Science and Technology (No. 2017ASKJ01 ), and the University of Chinese Academy of Sciences (Grant No. Y8540XX2D2 ). S.T. acknowledges funding by the Computational Sciences for Energy Research (CSER) tenure track program of Shell and NWO (Project Number 15CST04-2 ), the Netherlands.

FinanciersFinanciernummer
2015 Annual Beijing Talents Fund2015000021223ZK32
National Key R&D Program of China
Shell
National Natural Science Foundation of China51472055
Chinese Academy of Sciences121411KYS820150028
Nederlandse Organisatie voor Wetenschappelijk Onderzoek15CST04-2
Qingdao National Laboratory for Marine Science and Technology2017ASKJ01
Graduate University of Chinese Academy of SciencesY8540XX2D2
National Key Research and Development Program of China2016YFA0202701

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