Ultraviolet Wavelength Identification Using Energy Distribution of Hot Electrons.

Clicks: 195
ID: 28952
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #370 of 475 articles by views in ACS omega

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 475 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Light wavelength identification is essential for many optical and optoelectronic applications. Here, we report a novel wavelength identification photodetector based on the energy distribution of hot electrons at the metal/insulator interface. The information of the light wavelength can be stored in the energy distribution of the hot electrons, which can then be readout in the form of the current-voltage characteristics. On the basis of this principle, the high-reliability wavelength identification of the monochromatic light has been realized with a simple Al/SiO/Si structure. The device has an excellent stability with dark current below 1 × 10 A/m. Moreover, the wavelength of the monochromatic light in the deep ultraviolet range can be identified. This new principle will pave a new solution to design high-performance single-chip wavelength identification photodetectors and integrated miniaturized wavelength identification systems.
Reference Key
yu2017ultravioletacs Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yu, Zhiguo;Liu, Lei;Wang, Kaiyou;Wang, Junxi;Li, Jinmin;Zhao, Lixia;
Journal ACS omega
Year 2017
DOI
10.1021/acsomega.7b00441
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.