Journal of Inorganic Materials ›› 2024, Vol. 39 ›› Issue (2): 186-194.DOI: 10.15541/jim20230327
Special Issue: 【信息功能】柔性材料(202409); 【信息功能】MAX层状材料、MXene及其他二维材料(202409)
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Received:
2023-07-19
Revised:
2023-09-12
Published:
2023-09-12
Online:
2023-09-12
Contact:
SHEN Guozhen, professor. E-mail: gzshen@bit.edu.cnAbout author:
LI La (1991-), female, associate professor. E-mail: lali@bit.edu.cn
Supported by:
CLC Number:
LI La, SHEN Guozhen. 2D MXenes Based Flexible Photodetectors: Progress and Prospects[J]. Journal of Inorganic Materials, 2024, 39(2): 186-194.
Fig. 1 Application of MXenes in flexible optical electronic devices[32⇓⇓-35] Including transparent device, photodetector, image sensor array, transistor, and artificial neural network
Fig. 2 MXene based heterojunction materials for photodetector devices[32] (a-c) Inorganic-inorganic (MXene-Si) heterostructure; (d-f) Inorganic-organic (MXene-RNA) heterojunction
Fig. 3 Pure MXene based photodetector devices[44] (a) Synthesis process of Ti3C2Tx-C12H26; (b) Schematic diagram of the Ti3C2Tx-C12H26 based photodetector; (c) I-V curves of the fabricated devices; (d) Responsivity and specific detectivity of the photodetector
Fig. 4 MXene based 1024-pixel image sensor[34] (a) Optical photograph of Ti3C2Tx-RAN image sensor array; (b) Schematic diagram of multipixel image sensor imaging; (c) Deer pattern composed of 1024-pixel output by Ti3C2Tx-RAN photodetectors
Fig. 5 MXene based photoelectric transistors[51] (a) Schematic process for MXene based photoelectric transistors; (b) Transfer curves of the MXene based photoelectric transistors under dark and different wavelength incident light; (c) UV response cycle test
Fig. 6 MXene based transparent photodetector[35] (a) Schematic of synthesis process of leaf-based MXene electrodes; (b) Optical photograph of the leaf-based MXene electrodes under deformations; (c) Transmittance of the leaf-based MXene photodetector; (d) I-V curves and (e) responsivity of the MXene photodetector
Fig. 7 Pure MXene based flexible artificial neural network[33] (a) Schematic diagram of human visual recognition system; (b) Schematic diagram of artificial neural network using image sensor array for image recognition; (c) Comparison of recognition rates of two kinds of artificial neural vision network; (d) Recognition probability maps of three letters; (e) The resulted recognition probability diagram
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