journal article·2023-10-10

Quantum-Tuned Cascade Multijunction Infrared Photodetector

Wenjia Zhou, Rui Xu, Haobo Wu, Xianyuan Jiang, Hao Wang, F. Pelayo García de Arquer, Zhijun Ning

ACS Nano· Volume 17· Issue 19
Publisher page

Abstract

Emerging applications such as augmented reality, self-driving vehicles, and quantum information technology require optoelectronic devices capable of sensing a low number of photons with high sensitivity (including gain) and high speed and that could operate in the infrared at telecom windows beyond silicon’s bandgap. State-of-the-art semiconductors achieve some of these functions through costly and not easily scalable doping and epitaxial growing methods. Colloidal quantum dots (QDs), on the other hand, could be easily tuned and are compatible with consumer electronics manufacturing. However, the development of a QD infrared photodetector with high gain and high response speed remains a challenge. Herein, we present a QD monolithic multijunction cascade photodetector that advances in the speed-sensitivity-gain space through precise control over doping and bandgap. We achieved this by implementing a QD stack in which each layer is tailored via bandgap tuning and electrostatic surface manipulation. The resulting junctions sustain enhanced local electric fields, which, upon illumination, facilitate charge tunneling, recirculation, and gain, but retain low dark currents in the absence of light. Using this platform, we demonstrate an infrared photodetector sensitive up to 1500 nm, with a specific detectivity of ∼3.7 × 10 12 Jones, a 3 dB bandwidth of 300 kHz (0.05 cm 2 device), and a gain of ∼70× at 1300 nm, leading to an overall gain-bandwidth product over 20 MHz, in comparison with 3 kHz of standard photodiode devices of similar areas.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Quantum Dots Synthesis And Properties · Advanced Semiconductor Detectors and Materials · Semiconductor Quantum Structures and Devices

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

Affiliations

School of Physical Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Pudong, Shanghai 201210, China

ICFO−Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Barcelona 08860, Spain

Funding

Fundación Cellex · FUNDACIÓ Privada MIR-PUIG · National Key Research and Development Program of China · Ministerio de Ciencia e Innovación · 'la Caixa' Foundation · H2020 Marie Sklodowska-Curie Actions · Generalitat de Catalunya · Science and Technology Commission of Shanghai Municipality · ShanghaiTech University · National Natural Science Foundation of China

References (46)

Show source-provided references
1. 10.1063/1.309957210.1063/1.3099572 ↗
2. 10.1002/smll.20190134710.1002/smll.201901347 ↗
3. 10.1038/natrevmats.2016.10010.1038/natrevmats.2016.100 ↗
4. 10.1038/nphoton.2013.24010.1038/nphoton.2013.240 ↗
5. 10.1002/adma.20100194610.1002/adma.201001946 ↗
6. 10.1002/adma.20120058710.1002/adma.201200587 ↗
7. 10.1038/nphoton.2015.27010.1038/nphoton.2015.270 ↗
8. 10.1016/j.mser.2021.10064310.1016/j.mser.2021.100643 ↗
9. 10.1038/s41928-022-00779-x10.1038/s41928-022-00779-x ↗
10. 10.1016/j.matt.2020.12.01710.1016/j.matt.2020.12.017 ↗
11. 10.1002/smll.20200339710.1002/smll.202003397 ↗
12. 10.1002/adma.20220303910.1002/adma.202203039 ↗
13. 10.1038/s41566-019-0362-110.1038/s41566-019-0362-1 ↗
14. 10.1021/acsnano.1c0800210.1021/acsnano.1c08002 ↗
15. 10.1021/acsenergylett.0c0158610.1021/acsenergylett.0c01586 ↗
16. 10.1021/acsami.2c0662010.1021/acsami.2c06620 ↗
17. 10.1021/acs.nanolett.2c0095010.1021/acs.nanolett.2c00950 ↗
18. 10.1038/s41560-022-01138-y10.1038/s41560-022-01138-y ↗
19. 10.1021/am400598u10.1021/am400598u ↗
20. 10.1038/nnano.2010.7810.1038/nnano.2010.78 ↗
21. 10.1002/adom.20180098510.1002/adom.201800985 ↗
22. 10.1038/s41928-021-00586-w10.1038/s41928-021-00586-w ↗
23. 10.1021/acsnano.7b0356910.1021/acsnano.7b03569 ↗
24. 10.1038/s41586-021-04337-x10.1038/s41586-021-04337-x ↗
25. 10.1038/nnano.2012.6010.1038/nnano.2012.60 ↗
26. 10.1038/ncomms1195410.1038/ncomms11954 ↗
27. 10.1038/nature2105010.1038/nature21050 ↗
28. 10.1038/nnano.2012.18710.1038/nnano.2012.187 ↗
29. 10.1021/acs.jpclett.1c0033010.1021/acs.jpclett.1c00330 ↗
30. 10.1002/lpor.20180020410.1002/lpor.201800204 ↗
31. 10.1002/adma.20170488210.1002/adma.201704882 ↗
32. 10.1021/acs.chemmater.7b0220410.1021/acs.chemmater.7b02204 ↗
33. 10.1021/nn500897c10.1021/nn500897c ↗
34. 10.1038/s41565-018-0312-y10.1038/s41565-018-0312-y ↗
35. 10.1002/adfm.20221015810.1002/adfm.202210158 ↗
36. 10.1002/adma.20150009910.1002/adma.201500099 ↗
37. 10.1063/1.500580510.1063/1.5005805 ↗
38. 10.1038/nature0485510.1038/nature04855 ↗
39. 10.1002/adfm.20170669010.1002/adfm.201706690 ↗
40. 10.1038/s41928-020-0388-x10.1038/s41928-020-0388-x ↗
41. 10.1021/acsami.2c0104610.1021/acsami.2c01046 ↗
42. 10.1002/adfm.20140367310.1002/adfm.201403673 ↗
43. 10.1038/s41467-021-27050-910.1038/s41467-021-27050-9 ↗
44. 10.1002/adma.20030539510.1002/adma.200305395 ↗
45. 10.1002/adma.20180558010.1002/adma.201805580 ↗
46. 10.1016/S0040-6090(99)00825-110.1016/S0040-6090(99)00825-1 ↗