journal article·2025

Highly sensitive and spectrally tunable UV photodetectors via interface barrier engineering in floating-gate transistors

Bangchi Huang, Xiang Li, Jianlin Shi, Jinhan Hu, Zhipeng Zhong, YeZhao Zhuang, Junju Zhang, Wu Shi, Xiaosheng Fang, Hai Huang, Jianlu Wang, Junhao Chu

Nanoscale· Volume 17· Issue 40
Publisher page

Abstract

High-performance ultraviolet (UV) photodetectors require not only high responsivity and detectivity, but also strong spectral selectivity to suppress visible light interference. While wide-bandgap semiconductors are typically used, challenges in material growth and chemical doping hinder their scalability and integration. Here, we demonstrate a UV photodetector based on a two-dimensional floating-gate field-effect transistor (FGFET) structure, which offers both high sensitivity and tunable spectral response. A representative Au/hBN/MoS2 FGFET fabricated on a Si/SiO2 substrate achieves an ultrahigh responsivity of 5.6 × 104 A W-1 under 254 nm illumination, with a cut-off wavelength of 360 nm. The photodetection mechanism relies on UV-induced excitation of stored electrons in the floating gate. These electrons overcome the interfacial barrier and tunnel through the dielectric layer, thereby modulating the floating gate potential and channel conductance. The spectral response is primarily determined by the interfacial barrier height. Therefore, we demonstrate that by selecting floating gate metals with different work functions (e.g., Cr, Al, and Pd), the cut-off wavelength can be tuned from 440 nm to 330 nm. With excellent sensitivity and tunable spectral selectivity, this platform shows strong potential for applications in UV imaging, arc discharge monitoring, and adaptive optoelectronic systems.
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Research context

OpenAlex topics: GaN-based semiconductor devices and materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Photovoltaic Science and Technology, Shanghai Frontiers Science Research Base of Intelligent Optoelectronic and Perception, Institute of Optoelectronics and Department of Materials Science, Fudan University, Shanghai 200433, China

College of Future Information Technology, Fudan University, Shanghai 200433, China

School of Microelectronics, Nanjing University of Science & Technology, Nanjing 210094, China

State Key Laboratory of Surface Physics and Institute for Nanoelectronic Devices and Quantum Computing, Fudan University, Shanghai 200433, China

State Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, Fudan University, Shanghai 201210, China

Funding

National Natural Science Foundation of China · National Key Research and Development Program of China · Natural Science Foundation of Shanghai

References (59)

Show source-provided references
1. Xu · Adv. Mater. · 2018 · 30 · 180316510.1002/adma.201803165 ↗
2. Yang · Adv. Funct. Mater. · 2022 · 32 · 220699310.1002/adfm.202206993 ↗
3. Raeiszadeh · ACS Photonics · 2020 · 7 · 294110.1021/acsphotonics.0c01245 ↗
4. Guo · J. Semicond. · 2021 · 42 · 08180
5. Nie · Mater. Today Phys. · 2023 · 33 · 10103210.1016/j.mtphys.2023.101032 ↗
6. Lei · Sci. China Mater. · 2024 · 67 · 86310.1007/s40843-023-2736-6 ↗
7. Gundimeda · Appl. Phys. Lett. · 2017 · 110 · 10350710.1063/1.4978427 ↗
8. Kalra · IEEE Photonics Technol. Lett. · 2019 · 31 · 123710.1109/LPT.2019.2923147 ↗
9. Kong · Adv. Mater. · 2016 · 28 · 1072510.1002/adma.201604049 ↗
10. Lin · Adv. Opt. Mater. · 2018 · 6 · 180006810.1002/adom.201800068 ↗
11. Wang · Small · 2024 · 20 · 240004510.1002/smll.202400045 ↗
12. Zheng · Appl. Phys. Lett. · 2011 · 98 · 22111210.1063/1.3596479 ↗
13. Sang · Opt. Lett. · 2023 · 48 · 610810.1364/OL.505797 ↗
14. Rogalski · Sensors · 2023 · 23 · 445210.3390/s23094452 ↗
15. Cao · Research · 2024 · 7 · 038510.34133/research.0385 ↗
16. Oh · J. Mater. Chem. C · 2016 · 4 · 924510.1039/C6TC02467J ↗
17. Fang · Crystals · 2023 · 13 · 91510.3390/cryst13060915 ↗
18. Li · Nat. Rev. Mater. · 2023 · 8 · 58710.1038/s41578-023-00583-9 ↗
19. Xie · Adv. Funct. Mater. · 2019 · 29 · 180600610.1002/adfm.201806006 ↗
20. Pavan · Proc. IEEE · 1997 · 85 · 124810.1109/5.622505 ↗
21. Zhang · Chip · 2023 · 2 · 10005910.1016/j.chip.2023.100059 ↗
22. Zhou · IEEE Trans. Electron Devices · 2017 · 64 · 125410.1109/TED.2016.2645379 ↗
23. Bez · Proc. IEEE · 2003 · 91 · 48910.1109/JPROC.2003.811702 ↗
24. Lu · Microelectron. Eng. · 2009 · 86 · 28310.1016/j.mee.2008.08.007 ↗
25. Lee · Electron. Mater. Lett. · 2011 · 7 · 17510.1007/s13391-011-0901-5 ↗
26. Li · Nat. Commun. · 2022 · 13 · 459110.1038/s41467-022-32380-3 ↗
27. Liu · Nat. Nanotechnol. · 2021 · 16 · 87410.1038/s41565-021-00921-4 ↗
28. Wu · Nat. Nanotechnol. · 2021 · 16 · 88210.1038/s41565-021-00904-5 ↗
29. Yu · Nat. Commun. · 2023 · 14 · 566210.1038/s41467-023-41363-x ↗
30. Xiang · Nature · 2025 · 641 · 9010.1038/s41586-025-08839-w ↗
31. Lee · Adv. Mater. · 2016 · 28 · 919610.1002/adma.201603571 ↗
32. Tran · Adv. Mater. · 2019 · 31 · 180707510.1002/adma.201807075 ↗
33. Lu · ACS Nano · 2024 · 18 · 2340310.1021/acsnano.4c06642 ↗
34. Chen · Adv. Funct. Mater. · 2022 · 33 · 220978110.1002/adfm.202209781 ↗
35. Zha · Adv. Mater. · 2024 · 36 · 230850210.1002/adma.202308502 ↗
36. Cao · ACS Appl. Mater. Interfaces · 2025 · 17 · 958410.1021/acsami.4c18913 ↗
37. Li · Nat. Commun. · 2025 · 16 · 220910.1038/s41467-025-56886-8 ↗
38. Radisavljevic · Nat. Nanotechnol. · 2011 · 6 · 14710.1038/nnano.2010.279 ↗
39. Lopez-Sanchez · Nat. Nanotechnol. · 2013 · 8 · 49710.1038/nnano.2013.100 ↗
40. Lee · Adv. Funct. Mater. · 2021 · 31 · 210062510.1002/adfm.202100625 ↗
41. Roy · Adv. Mater. · 2021 · 33 · 210158910.1002/adma.202101589 ↗
42. Li · Adv. Funct. Mater. · 2012 · 22 · 138510.1002/adfm.201102111 ↗
43. Karim · J. Raman Spectrosc. · 2020 · 51 · 246810.1002/jrs.6007 ↗
44. Gwon · Adv. Funct. Mater. · 2021 · 31 · 210547210.1002/adfm.202105472 ↗
45. Sun · Sci. Rep. · 2015 · 5 · 1681910.1038/srep16819 ↗
46. Hou · Adv. Mater. · 2022 · 34 · 210692310.1002/adma.202106923 ↗
47. Sasaki · ACS Nano · 2021 · 15 · 665810.1021/acsnano.0c10005 ↗
48. Zhou · Adv. Sci. · 2021 · 8 · 210157210.1002/advs.202101572 ↗
49. Kawano · Prog. Surf. Sci. · 2022 · 97 · 10058310.1016/j.progsurf.2020.100583 ↗
50. Wang · Nat. Commun. · 2023 · 14 · 222410.1038/s41467-023-37635-1 ↗
51. Gao · J. Mater. Chem. C · 2019 · 7 · 1499910.1039/C9TC05206B ↗
52. Zhang · Adv. Funct. Mater. · 2024 · 34 · 231514910.1002/adfm.202315149 ↗
53. Tan · ACS Appl. Mater. Interfaces · 2020 · 12 · 2835110.1021/acsami.0c00449 ↗
54. Wang · ACS Appl. Mater. Interfaces · 2023 · 15 · 2345710.1021/acsami.3c02540 ↗
55. Peng · ACS Nano · 2016 · 10 · 157210.1021/acsnano.5b07217 ↗
56. Song · Adv. Mater. · 2021 · 33 · 210105910.1002/adma.202101059 ↗
57. Feng · J. Phys. D: Appl. Phys. · 2022 · 55 · 40400510.1088/1361-6463/ac83ce ↗
58. Zhang · J. Appl. Phys. · 2019 · 125 · 02450210.1063/1.5057371 ↗
59. Pintor-Monroy · IEEE Sens. J. · 2021 · 21 · 1480710.1109/JSEN.2021.3074623 ↗