Quantum efficiency optimization by maximizing wave function overlap in type-II superlattice photodetectors
Source abstract
Abstract
Quantum efficiency (QE) is a crucial parameter that determines the final performance of photodetector devices. Herein, by fitting the charge distribution fluctuation under a series of bias voltages, revealed by groups of in situ electron holography experiments, a simple model based on modulus square of wave function (MSWF) is qualitatively built to shed new light on the relationship between QE and wave function overlap (WFO). It is found that there exists a competition of WFO between the potential well regions and the interface regions, and a peak value of the overall WFO can be obtained under an appropriate voltage. On combining such competition with the measured QE results from actual infrared photodetectors, the positive correlation between QE and WFO is manifested, and the QE can be boosted to 51% from 34%. Our results offer a new perspective to the understanding of the carrier transportation within superlattice (SL) structures and the design on photoelectric devices with enhanced performance.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Electronic and Structural Properties of Oxides · Advanced Semiconductor Detectors and Materials · Semiconductor Quantum Structures and Devices
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Laboratory of Advanced Materials
Department of Materials Science and Collaborative Innovation Center of Chemistry for Energy Materials
Fudan University
Shanghai 200438
P. R. China
State Key Laboratory for Superlattices and Microstructures
Institute of Semiconductors
Chinese Academy of Sciences
Beijing 100083
China
References (40)
Show source-provided references
1. Jiang · Appl. Phys. Lett. · 2016 · 108 · 12111010.1063/1.4944849 ↗
2. Li · Superlattices Microstruct. · 2016 · 92 · 33010.1016/j.spmi.2016.02.041 ↗
3. Ting · Semicond. Semimetals · 2011 · 84 · 110.1016/B978-0-12-381337-4.00001-2 ↗
4. Smith · Appl. Phys. Lett. · 1983 · 43 · 18010.1063/1.94272 ↗
5. Grein · Appl. Phys. Lett. · 1992 · 61 · 290510.1063/1.108480 ↗
6. Youngdale · Appl. Phys. Lett. · 1994 · 64 · 316010.1063/1.111325 ↗
7. Sai-Halasz · Phys. Rev. B: Condens. Matter · 1978 · 18 · 281210.1103/PhysRevB.18.2812 ↗
8. Rogalski · Rep. Prog. Phys. · 2016 · 79 · 04650110.1088/0034-4885/79/4/046501 ↗
9. Tian · Appl. Phys. Lett. · 2014 · 105 · 05110910.1063/1.4892634 ↗
10. Tian · Appl. Phys. Lett. · 2015 · 107 · 21111410.1063/1.4936650 ↗
11. Koppens · Nat. Nanotechnol. · 2014 · 9 · 78010.1038/nnano.2014.215 ↗
12. Klin · J. Cryst. Growth · 2015 · 425 · 5410.1016/j.jcrysgro.2015.03.038 ↗
13. Liu · ACS Appl. Mater. Interfaces · 2015 · 7 · 251210.1021/am507410b ↗
14. Chen · Nano Lett. · 2015 · 15 · 636510.1021/acs.nanolett.5b01358 ↗
15. Ravichandran · Nat. Mater. · 2014 · 13 · 16810.1038/nmat3826 ↗
16. Gao · ACS Photonics · 2016 · 3 · 121710.1021/acsphotonics.6b00211 ↗
17. Inomata · Nat. Commun. · 2016 · 7 · 1230310.1038/ncomms12303 ↗
18. Juntunen · Nat. Photonics · 2016 · 10 · 77710.1038/nphoton.2016.226 ↗
19. Rodriguez · Appl. Phys. Lett. · 2010 · 97 · 25111310.1063/1.3529940 ↗
20. Dhar · ACS Appl. Mater. Interfaces · 2016 · 8 · 3182210.1021/acsami.6b09766 ↗
21. Lee · Nano Lett. · 2016 · 16 · 19910.1021/acs.nanolett.5b03485 ↗
22. Li · ACS Appl. Mater. Interfaces · 2015 · 7 · 589010.1021/acsami.5b00041 ↗
23. Ariyawansa · Appl. Phys. Lett. · 2016 · 109 · 02111210.1063/1.4958854 ↗
24. Hood · Appl. Phys. Lett. · 2006 · 89 · 09350610.1063/1.2345020 ↗
25. Steenbergen · Appl. Phys. Lett. · 2011 · 99 · 25111010.1063/1.3671398 ↗
26. Kaya · J. Appl. Phys. · 2013 · 113 · 08371710.1063/1.4793787 ↗
27. Vurgaftman · Appl. Phys. Lett. · 2016 · 108 · 22210110.1063/1.4953035 ↗
28. Ting · Appl. Phys. Lett. · 2016 · 108 · 18350410.1063/1.4948387 ↗
29. Yao · Nat. Commun. · 2013 · 4 · 276410.1038/ncomms3764 ↗
30. Le Sage · Nature · 2013 · 496 · 48610.1038/nature12072 ↗
31. Gan · Nano Lett. · 2016 · 16 · 374810.1021/acs.nanolett.6b01099 ↗
32. Darbandi · Nano Lett. · 2016 · 16 · 398210.1021/acs.nanolett.6b00289 ↗
33. Sai-Halasz · Appl. Phys. Lett. · 1977 · 30 · 65110.1063/1.89273 ↗
34. Perera · Prog. Quantum Electron. · 2016 · 48 · 110.1016/j.pquantelec.2016.05.001 ↗
35. Song · Adv. Mater. Interfaces · 2015 · 2 · 140028110.1002/admi.201400281 ↗
36. Nguyen · Appl. Phys. Lett. · 2007 · 91 · 16351110.1063/1.2800808 ↗
37. Hoffman · Appl. Phys. Lett. · 2008 · 93 · 03110710.1063/1.2963980 ↗
38. Nguyen · Appl. Phys. Lett. · 2008 · 93 · 16350210.1063/1.3005196 ↗
39. Cartoixà · Phys. Rev. B: Condens. Matter · 2003 · 68 · 23531910.1103/PhysRevB.68.235319 ↗
40. Soibel · Appl. Phys. Lett. · 2014 · 105 · 02351210.1063/1.4890465 ↗