The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Progress, challenges, and opportunities for HgCdTe infrared materials and detectors
Abstract
This article presents a review on the current status, challenges, and potential future development opportunities for HgCdTe infrared materials and detector technology. A brief history of HgCdTe infrared technology is firstly summarized and discussed, leading to the conclusion that HgCdTe-based infrared detectors will continue to be a core infrared technology with expanded capabilities in the future due to a unique combination of its favourable properties. Recent progress and the current status of HgCdTe infrared technology are reviewed, including material growth, device architecture, device processing, surface passivation, and focal plane array applications. The further development of infrared applications requires that future infrared detectors have the features of lower cost, smaller pixel size, larger array format size, higher operating temperature, and multi-band detection, which presents a number of serious challenges to current HgCdTe-based infrared technology. The primary challenges include well controlled p-type doping, lower cost, larger array format size, higher operating temperature, multi-band detection, and advanced plasma dry etching. Various new concepts and technologies are proposed and discussed that have the potential to overcome the existing primary challenges that are inhibiting the development of next generation HgCdTe infrared detector technology.
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Citations
Cites
Quantum-well infrared photodetectors
Levine, B. F. (1993) · Journal of Applied Physics · doi:10.1063/1.354252 · Cited by 1,663
HgCdTe infrared detector material: history, status and outlook
Rogalski, A. (2005) · Reports on Progress in Physics · doi:10.1088/0034-4885/68/10/r01 · Cited by 1,047
Third-generation infrared photodetector arrays
Rogalski, A., Antoszewski, J., & Faraone, L. (2009) · Journal of Applied Physics · doi:10.1063/1.3099572 · Cited by 827
Self-citationNakamura, S., Senoh, M., Nagahama, S., Iwasa, N., Yamada, T., Matsushita, T., Kiyoku, H., Sugimoto, Y., Kozaki, T., Umemoto, H., et al. (1998) · Applied Physics Letters · doi:10.1063/1.120688 · Cited by 733
n B n detector, an infrared detector with reduced dark current and higher operating temperature
Maimon, S., & Wicks, G. W. (2006) · Applied Physics Letters · doi:10.1063/1.2360235 · Cited by 708
Tennant, W. E., Lee, D., Zandian, M., Piquette, E., & Carmody, M. (2008) · Journal of Electronic Materials · doi:10.1007/s11664-008-0426-3 · Cited by 330
Norton, P. R. (2002) · Opto-Electronics Review · Cited by 282
Esashi, M. (1998) · International Microprocesses and Nanotechnology Conference (MNC) · doi:10.1109/imnc.1998.729908 · Cited by 230
Light Management with Nanostructures for Optoelectronic Devices
Leung, S., Zhang, Q., Xiu, F., Yu, D., Ho, J. C. Y., Li, D., & Fan, Z. (2014) · The Journal of Physical Chemistry Letters · doi:10.1021/jz500306f · Cited by 188
A monolithically integrated plasmonic infrared quantum dot camera
Lee, S. J., Ku, Z., Barve, A., Montoya, J., Jang, W.-Y., Brueck, S. R. J., Sundaram, M., Reisinger, A., Krishna, S., & Noh, S. K. (2011) · Nature Communications · doi:10.1038/ncomms1283 · Cited by 161
Cited by
Arrayed Van Der Waals Broadband Detectors for Dual‐Band Detection
Wang, P., Liu, S., Luo, W., Fang, H., Gong, F., Guo, N., Chen, Z., Zou, J., Huang, Y., Zhou, X., et al. (2017) · Advanced Materials · doi:10.1002/adma.201604439 · Cited by 285
Cai, H., Yang, C., Liu, Y., Zhang, X., Zou, Y., & Yu, Y. (2024) · APL Photonics · doi:10.1063/5.0218976 · Cited by 10
Li, R., Zhang, Y., Li, S., Chen, J., Cao, Y., Xing, D., Wang, Y., & Huang, F. (2026) · Advanced Functional Materials · doi:10.1002/adfm.202532119 · Cited by 4
Metadata
- Authors
- Lei, W., Antoszewski, J., & Faraone, L.
- Venue
- Applied Physics Reviews
- Publisher
- AIP Publishing
- Published
- 2015-12
- Volume
- 2
- Issue
- 4
- Pages
- 041303
- ISSN
- 1931-9401 (ISSN-L)
- OpenAlex
- W2191089857
- Cited by
- 462
- References
- 15
- FWCI
- 6.58
- Type
- journal article
- Language
- en
- Open access
- closed
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