Ultraviolet photodetector based on NaTaO3/ZnO composite with enhanced photoelectric performance

Yun-fei Zhao , Min Zhang , Lin-yu Yang , Jun Zhang , Zhao-jun Wang

Optoelectronics Letters ›› 2021, Vol. 17 ›› Issue (2) : 75 -79.

PDF
Optoelectronics Letters ›› 2021, Vol. 17 ›› Issue (2) : 75 -79. DOI: 10.1007/s11801-021-0018-5
Article

Ultraviolet photodetector based on NaTaO3/ZnO composite with enhanced photoelectric performance

Author information +
History +
PDF

Abstract

NaTaO3/ZnO composites were synthesized via a two-step hydrothermal method. Then ultraviolet detectors based on pure NaTaO3, ZnO and their composites with different mole ratio were fabricated. Among all the devices, the 1:1 NaTaO3/ZnO possessed a high photo-to-dark current ratio and stable periodic photoresponse. The photoresponse is facilitated by the synergistic effect between different components and the improved ZnO morphology in the composites, the reduced dimensionality in which provides a straight electron conduction pathway. Additionally, the 1:1 NaTaO3/ZnO detector also exhibits a low dark current less than 1 nA at 5 V bias, which benefits a lot to the low power dissipation and high sensitivity of devices. These results reveal that NaTaO3/ZnO composites are good candidates for the fabrication of ultraviolet detectors.

Cite this article

Download citation ▾
Yun-fei Zhao, Min Zhang, Lin-yu Yang, Jun Zhang, Zhao-jun Wang. Ultraviolet photodetector based on NaTaO3/ZnO composite with enhanced photoelectric performance. Optoelectronics Letters, 2021, 17(2): 75-79 DOI:10.1007/s11801-021-0018-5

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

ZhangM, TuokedaerhanK, ZhangH, LiL. Optoelectronics Letters, 2019, 15: 0081

[2]

WangW, ZhengY, LiX, LiY, HuangL, LiG. Journal of Materials Chemistry C, 2018, 6: 3417

[3]

YinB, ZhangY, LiK, ZhouJ, LiuC, ZhangM, RuanS. Nanotechnology, 2019, 30: 465501

[4]

LiG, MengL, ZhuX, GaoW, QinY, ChenL. Nanoscale, 2018, 10: 2242

[5]

ZhangM, LiuG, ZhouJ, MaX, LiZ, ChenW, RuanS. IEEE Electron Device Letters, 2013, 34: 1539

[6]

IvanovaI, KandielT, ChoY-J, ChoiW, BahnemannD. ACS Catalysis, 2018, 8: 2313

[7]

ZhangY, ChenY, ZhangY, ChengX, FengC, ChenL, ZhouJ, RuanS. Sensors and Actuators B, 2012, 174: 485

[8]

GuoB, WuG, ChenH, WangM. Organic Electronics, 2016, 29: 13

[9]

ZengY, PanX, LuB, YeZ. RSC Advances, 2016, 6: 31316

[10]

ZhangC, XuH, LiuW, YangL, ZhangJ, ZhangL, WangJ, MaJ, LiuY. Optics Express, 2015, 23: 15565

[11]

MedinaJ, Portillo-VélezN, BizarroM, GordilloA, RodilS. Dyes and Pigments, 2018, 153: 106

[12]

ZhengL, ChenC, ZhengY, ZhanY, CaoY, LinX, ZhengQ, WeiK, ZhuJ. Applied Catalysis B: Environmental, 2014, 148–149: 44

[13]

YanS, MaS, XuX, LuY, BianH, LiangX, JinW, YangH. Materials Letters, 2016, 165: 9

[14]

ZhangD, GuX, JingF, GaoF, ZhouJ, RuanS. Journal of Alloys and Compounds, 2015, 618: 551

[15]

ZhangH, FengC, LiuC, XieT, ZhouJ, RuanS. IEEE Electron Device Letters, 2011, 32: 934

[16]

ZhangH, RuanS, LiH, ZhangM, LvK, FengC, ChenW. IEEE Electron Device Letters, 2012, 33: 83

[17]

KongX, LiuC, DongW, ZhangX, TaoC, ShenL, ZhouJ, FeiY, RuanS. Applied Physics Letters, 2009, 94: 123502

[18]

XingG, TangC, ZhangB, ZhaoL, SuY, WangX. Journal of Alloys and Compound, 2015, 647: 287

AI Summary AI Mindmap
PDF

155

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/