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High-Performance Copper Oxide Visible-Light Photodetector via Grain-Structure Model
- Source :
- Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019), Scientific Reports
- Publication Year :
- 2019
- Publisher :
- Nature Publishing Group, 2019.
-
Abstract
- Recently, copper oxide (CuO)-based visible-light photodetectors have attracted great interest due to their narrow bandgap (1.2 eV), low cost, and ease of fabrication. However, there has been insufficient theoretical analysis and study of CuO-based photodetectors, resulting in inferior performance in terms of responsivity, detectivity, and response speed. This work develops a method to enhance the performance of CuO photodetectors by engineering a grain structure based on a newly-developed theoretical model. In the developed theoretical grain-structure model, the grain size and the connections between grains are considered because they can strongly affect the optoelectronic characteristics of CuO photodetectors. Based upon the proposed model, the engineered CuO device achieves enhanced optoelectronic performance. The engineered device shows high responsivity of 15.3 A/W and detectivity of 1.08 × 1011 Jones, which are 18 and 50 times better than those of the unoptimized device, and also shows fast rising and decaying response speeds of 0.682 s and 1.77 s, respectively. In addition, the proposed method is suitable for the mass-production of performance-enhanced, reliable photodetectors. By using a conventional semiconductor fabrication process, a photodetector-array is demonstrated on a 4-inch wafer. The fabricated devices show uniform, high, and stable optoelectronic performance for a month.
- Subjects :
- 0301 basic medicine
Copper oxide
Materials science
Fabrication
Band gap
Semiconductor device fabrication
Photodetector
lcsh:Medicine
Article
03 medical and health sciences
Responsivity
chemistry.chemical_compound
0302 clinical medicine
Wafer
lcsh:Science
Multidisciplinary
business.industry
lcsh:R
Grain size
030104 developmental biology
chemistry
Optical sensors
Optoelectronics
lcsh:Q
business
030217 neurology & neurosurgery
Materials for optics
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 9
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....49102d00d2009b6d04e85c284a5d373a
- Full Text :
- https://doi.org/10.1038/s41598-019-43667-9