journal article·2020-09

Selective and Sensitive Photon Sieve Based on III–V Semiconductor Nanowire Forest Fabricated by Lithography‐Free Process

Gil Ju Lee, Kwangwook Park, Min Seok Kim, Sehui Chang, Tae Joon Seok, Hong‐Gyu Park, Gunwu Ju, Kyujung Kim, Young Min Song

Advanced Optical Materials· Volume 8· Issue 17
Publisher page

Abstract

Abstract Vertically oriented semiconductor nanowires (NWs) have been intensely studied in macroscopic perspective due to their attractive applications such as optical filters, photodiodes, and solar cells. However, microscopic photonic phenomena of dense and random NWs have been rarely, and their promising applications have not been explored. Therefore, this article theoretically and experimentally investigates the microscopic photonic event of dense and random NWs using highly selective and sensitive photon sieve (SSPS), which employs highly populated III/V semiconductor NW forests fabricated with a lithography‐free self‐catalyzed growth method. Theoretical analyses reveal that diameter‐dependent and selective photon absorption occurs even for a dense and disordered NW distribution. The engineered growth process affords highly populated NW forests (mean shortest interval = 192.4 nm) comprising NWs with a high aspect ratio (mean aspect ratio = 34.3) and a sufficiently broad diameter distribution to span the visible spectrum and decompose it (mean diameter = 94 nm, standard deviation = 49 nm). Moreover, the SSPS exhibits unique spectral responses to monochromatic light of different wavelengths (correlation coefficients < 0.03) and a high sensitivity with a highest absorptivity of 92.4%. This work indicates SSPSs can be utilized for various applications of artificial photoreceptor, physically unclonable function, and high efficient optoelectronics.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Nanowire Synthesis and Applications · Integrated Circuits and Semiconductor Failure Analysis · Neuroscience and Neural Engineering

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

Affiliations

School of Electrical Engineering and Computer Science (EECS) Gwangju Institute of Science and Technology (GIST) Gwangju 61005 Republic of Korea

Division of Advanced Materials Engineering Jeonbuk National University Jeonju 54896 Republic of Korea

Department of Physics Korea University Seoul 02841 Republic of Korea

Technology Support Center Korea Institute of Science and Technology Seoul 02792 Republic of Korea

Department of Cogno‐Mechatronics Engineering Pusan National University (PNU) Busan 46241 Republic of Korea

Funding

National Research Foundation of Korea · Korea Institute of Energy Technology Evaluation and Planning · Ministry of Trade, Industry and Energy · National Science Foundation, United Arab Emirates

References (54)

Show source-provided references
1. 10.1002/adfm.20160528610.1002/adfm.201605286 ↗
2. 10.1364/OE.18.01306310.1364/OE.18.013063 ↗
3. 10.1002/smll.20100007910.1002/smll.201000079 ↗
4. 10.1039/C4MH00140K10.1039/C4MH00140K ↗
5. 10.1126/sciadv.170023210.1126/sciadv.1700232 ↗
6. 10.1088/1361-6463/aa8ddd10.1088/1361-6463/aa8ddd ↗
7. 10.1038/s41566-019-0389-310.1038/s41566-019-0389-3 ↗
8. 10.1038/s41467-017-02500-510.1038/s41467-017-02500-5 ↗
9. 10.1039/c0ee00636j10.1039/c0ee00636j ↗
10. 10.1016/S1369-7021(06)71652-210.1016/S1369-7021(06)71652-2 ↗
11. 10.1021/nl100665r10.1021/nl100665r ↗
12. 10.1021/acsphotonics.6b0034110.1021/acsphotonics.6b00341 ↗
13. 10.1021/nl200201b10.1021/nl200201b ↗
14. 10.1063/1.489875810.1063/1.4898758 ↗
15. 10.1038/s41598-019-40001-110.1038/s41598-019-40001-1 ↗
16. 10.1038/s41467-018-05224-210.1038/s41467-018-05224-2 ↗
17. 10.1002/advs.20160033210.1002/advs.201600332 ↗
18. 10.1021/acsami.8b2155410.1021/acsami.8b21554 ↗
19. 10.1002/1521-3765(20020315)8:6<1260::AID-CHEM1260>3.0.CO;2-Q10.1002/1521-3765(20020315)8:6<1260::AID-CHEM1260>3.0.CO;2-Q ↗
20. 10.1088/0268-1242/31/10/10300310.1088/0268-1242/31/10/103003 ↗
21. 10.1039/c3ee24182c10.1039/c3ee24182c ↗
22. 10.1038/nature0618110.1038/nature06181 ↗
23. 10.1038/415617a10.1038/415617a ↗
24. 10.1126/science.106915610.1126/science.1069156 ↗
25. 10.1063/1.211508710.1063/1.2115087 ↗
26. 10.1073/pnas.090935010710.1073/pnas.0909350107 ↗
27. 10.1126/science.106271110.1126/science.1062711 ↗
28. 10.1021/nl072003g10.1021/nl072003g ↗
29. 10.1038/nmat225310.1038/nmat2253 ↗
30. 10.1364/OE.22.00A93010.1364/OE.22.00A930 ↗
31. 10.1063/1.352021710.1063/1.3520217 ↗
32. 10.1038/srep0154610.1038/srep01546 ↗
33. 10.1038/s41467-018-04067-110.1038/s41467-018-04067-1 ↗
34. 10.1016/j.physe.2016.07.01010.1016/j.physe.2016.07.010 ↗
35. 10.1038/s41427-018-0035-410.1038/s41427-018-0035-4 ↗
36. 10.1021/nl303751d10.1021/nl303751d ↗
37. 10.1186/1556-276X-8-32710.1186/1556-276X-8-327 ↗
38. 10.1002/aisy.20190007210.1002/aisy.201900072 ↗
39. 10.1063/1.476694410.1063/1.4766944 ↗
40. 10.1515/nanoph-2020-026410.1515/nanoph-2020-0264 ↗
41. 10.1364/OL.37.00375610.1364/OL.37.003756 ↗
42. 10.1364/OE.19.0A114810.1364/OE.19.0A1148 ↗
43. 10.1016/j.mee.2013.03.02310.1016/j.mee.2013.03.023 ↗
44. 10.1021/nl104316t10.1021/nl104316t ↗
45. 10.1088/0957-4484/23/23/23560210.1088/0957-4484/23/23/235602 ↗
46. 10.1088/0957-4484/26/10/10560310.1088/0957-4484/26/10/105603 ↗
47. 10.1088/0022-3727/43/44/44540210.1088/0022-3727/43/44/445402 ↗
48. 10.1038/s41467-018-03212-010.1038/s41467-018-03212-0 ↗
49. 10.1038/nphoton.2012.10410.1038/nphoton.2012.104 ↗
50. 10.1038/nm.385110.1038/nm.3851 ↗
51. 10.1126/sciadv.170138410.1126/sciadv.1701384 ↗
52. 10.1063/1.507940710.1063/1.5079407 ↗
53. 10.1016/j.jcrysgro.2010.04.02710.1016/j.jcrysgro.2010.04.027 ↗
54. Mathworks documentation for 2‐D correlation coefficient function corr2() for Matlab R2019b.https://www.mathworks.com/help/images/ref/corr2.html?lang=en(accessed: January 2020).