High-sensitivity computational miniaturized terahertz spectrometer using a plasmonic filter array and a modified multilayer residual CNN Article Swipe
Mengjuan Liu
,
Meichen Yang
,
Jiaqi Zhu
,
He Zhu
,
Wang Yao
,
Ziyang Ren
,
Yihui Zhai
,
Haiming Zhu
,
Yufeng Shan
,
Hongxing Qi
,
Junli Duan
,
Huizhen Wu
,
Ning Dai
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1515/nanoph-2023-0581
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1515/nanoph-2023-0581
Spectrometer miniaturization is desired for handheld and portable applications, yet nearly no miniaturized spectrometer is reported operating within terahertz (THz) waveband. Computational strategy, which can acquire incident spectral information through encoding and decoding it using optical devices and reconstruction algorithms, respectively, is widely employed in spectrometer miniaturization as artificial intelligence emerges. We demonstrate a computational miniaturized THz spectrometer, where a plasmonic filter array tailors the spectral response of a blocked-impurity-band detector. Besides, an adaptive deep-learning algorithm is proposed for spectral reconstructions with curbing the negative impact from the optical property of the filter array. Our spectrometer achieves modest spectral resolution (2.3 cm −1 ) compared with visible and infrared miniaturized spectrometers, outstanding sensitivity (e.g., signal-to-noise ratio, 6.4E6: 1) superior to common benchtop THz spectrometers. The combination of THz optical devices and reconstruction algorithms provides a route toward THz spectrometer miniaturization, and further extends the applicable sphere of the THz spectroscopy technique.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1515/nanoph-2023-0581
- https://www.degruyter.com/document/doi/10.1515/nanoph-2023-0581/pdf
- OA Status
- gold
- Cited By
- 8
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388124905
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4388124905Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1515/nanoph-2023-0581Digital Object Identifier
- Title
-
High-sensitivity computational miniaturized terahertz spectrometer using a plasmonic filter array and a modified multilayer residual CNNWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-01Full publication date if available
- Authors
-
Mengjuan Liu, Meichen Yang, Jiaqi Zhu, He Zhu, Wang Yao, Ziyang Ren, Yihui Zhai, Haiming Zhu, Yufeng Shan, Hongxing Qi, Junli Duan, Huizhen Wu, Ning DaiList of authors in order
- Landing page
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https://doi.org/10.1515/nanoph-2023-0581Publisher landing page
- PDF URL
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https://www.degruyter.com/document/doi/10.1515/nanoph-2023-0581/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.degruyter.com/document/doi/10.1515/nanoph-2023-0581/pdfDirect OA link when available
- Concepts
-
Spectrometer, Miniaturization, Terahertz radiation, Optics, Detector, Plasmon, Terahertz spectroscopy and technology, Optoelectronics, Materials science, Physics, NanotechnologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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44Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.which | 24 |
| abstract_inverted_index.(e.g., | 114 |
| abstract_inverted_index.6.4E6: | 117 |
| abstract_inverted_index.array. | 94 |
| abstract_inverted_index.common | 121 |
| abstract_inverted_index.filter | 62, 93 |
| abstract_inverted_index.impact | 86 |
| abstract_inverted_index.modest | 98 |
| abstract_inverted_index.nearly | 11 |
| abstract_inverted_index.ratio, | 116 |
| abstract_inverted_index.sphere | 146 |
| abstract_inverted_index.toward | 137 |
| abstract_inverted_index.widely | 43 |
| abstract_inverted_index.within | 18 |
| abstract_inverted_index.acquire | 26 |
| abstract_inverted_index.curbing | 83 |
| abstract_inverted_index.desired | 4 |
| abstract_inverted_index.devices | 37, 130 |
| abstract_inverted_index.extends | 143 |
| abstract_inverted_index.further | 142 |
| abstract_inverted_index.optical | 36, 89, 129 |
| abstract_inverted_index.tailors | 64 |
| abstract_inverted_index.through | 30 |
| abstract_inverted_index.visible | 107 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Besides, | 72 |
| abstract_inverted_index.achieves | 97 |
| abstract_inverted_index.adaptive | 74 |
| abstract_inverted_index.benchtop | 122 |
| abstract_inverted_index.compared | 105 |
| abstract_inverted_index.decoding | 33 |
| abstract_inverted_index.emerges. | 51 |
| abstract_inverted_index.employed | 44 |
| abstract_inverted_index.encoding | 31 |
| abstract_inverted_index.handheld | 6 |
| abstract_inverted_index.incident | 27 |
| abstract_inverted_index.infrared | 109 |
| abstract_inverted_index.negative | 85 |
| abstract_inverted_index.portable | 8 |
| abstract_inverted_index.property | 90 |
| abstract_inverted_index.proposed | 78 |
| abstract_inverted_index.provides | 134 |
| abstract_inverted_index.reported | 16 |
| abstract_inverted_index.response | 67 |
| abstract_inverted_index.spectral | 28, 66, 80, 99 |
| abstract_inverted_index.superior | 119 |
| abstract_inverted_index.algorithm | 76 |
| abstract_inverted_index.detector. | 71 |
| abstract_inverted_index.operating | 17 |
| abstract_inverted_index.plasmonic | 61 |
| abstract_inverted_index.strategy, | 23 |
| abstract_inverted_index.terahertz | 19 |
| abstract_inverted_index.waveband. | 21 |
| abstract_inverted_index.algorithms | 133 |
| abstract_inverted_index.applicable | 145 |
| abstract_inverted_index.artificial | 49 |
| abstract_inverted_index.resolution | 100 |
| abstract_inverted_index.technique. | 151 |
| abstract_inverted_index.algorithms, | 40 |
| abstract_inverted_index.combination | 126 |
| abstract_inverted_index.demonstrate | 53 |
| abstract_inverted_index.information | 29 |
| abstract_inverted_index.outstanding | 112 |
| abstract_inverted_index.sensitivity | 113 |
| abstract_inverted_index.Spectrometer | 1 |
| abstract_inverted_index.intelligence | 50 |
| abstract_inverted_index.miniaturized | 13, 56, 110 |
| abstract_inverted_index.spectrometer | 14, 46, 96, 139 |
| abstract_inverted_index.spectroscopy | 150 |
| abstract_inverted_index.Computational | 22 |
| abstract_inverted_index.applications, | 9 |
| abstract_inverted_index.computational | 55 |
| abstract_inverted_index.deep-learning | 75 |
| abstract_inverted_index.respectively, | 41 |
| abstract_inverted_index.spectrometer, | 58 |
| abstract_inverted_index.reconstruction | 39, 132 |
| abstract_inverted_index.spectrometers, | 111 |
| abstract_inverted_index.spectrometers. | 124 |
| abstract_inverted_index.miniaturization | 2, 47 |
| abstract_inverted_index.reconstructions | 81 |
| abstract_inverted_index.signal-to-noise | 115 |
| abstract_inverted_index.miniaturization, | 140 |
| abstract_inverted_index.blocked-impurity-band | 70 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 96 |
| corresponding_author_ids | https://openalex.org/A5047920026, https://openalex.org/A5027058494, https://openalex.org/A5101966918 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 13 |
| corresponding_institution_ids | https://openalex.org/I4210123185, https://openalex.org/I4210135723, https://openalex.org/I4210151209, https://openalex.org/I4210165038, https://openalex.org/I76130692 |
| citation_normalized_percentile.value | 0.80097702 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |