Terahertz characterization of graphene conductivity via time-domain reflection spectroscopy on metal-backed dielectric substrates
Journal of Physics D: Applied Physics, ISSN: 1361-6463, Vol: 55, Issue: 36
2022
- 17Citations
- 4Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
A theoretical and experimental framework for the characterization of the terahertz (THz) conductivity of graphene on metal-backed substrates is presented. Analytical equations are derived for the general problem of oblique incidence of the THz beam in a time-domain spectroscopic (TDS) setup working in reflection. The recorded time-domain signals are post-processed in order to retrieve the substrate thickness, its dielectric frequency dispersion, and the complex graphene conductivity frequency dispersion, which is described by a generalized Drude-Smith model. The method is tested on two samples of chemical vapor deposited graphene, transferred on polyethylene terephthalate and cyclo-olefin polymeric substrates of sub-millimetric thickness, and characterized by Raman spectroscopy. By working only with the amplitude spectra, the proposed method circumvents issues stemming from phase uncertainties that typically affect TDS measurements in reflection mode. More important, it allows for a rapid, nondestructive characterization of graphene sheets that can be directly integrated in the production flow of graphene-based passive or active components employing metal-backed resonant cavities, such as THz absorbers, metasurface lenses, or leaky-wave antennas.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85133447065&origin=inward; http://dx.doi.org/10.1088/1361-6463/ac7759; https://iopscience.iop.org/article/10.1088/1361-6463/ac7759; https://dx.doi.org/10.1088/1361-6463/ac7759; https://validate.perfdrive.com/9730847aceed30627ebd520e46ee70b2/?ssa=d484c7bd-2edd-43f4-9afc-6b57a3f4ac69&ssb=06473239302&ssc=https%3A%2F%2Fiopscience.iop.org%2Farticle%2F10.1088%2F1361-6463%2Fac7759&ssi=7c235f2c-cnvj-4417-9e56-be9623c11f1e&ssk=botmanager_support@radware.com&ssm=50010813054605138128326436411516960&ssn=c7fdf0cff045cbb089225c3c45a477a78ec7765553ad-d587-4971-85f328&sso=86094a66-0a667121c17a41149495757dbb68ebcf629e1fe34fb5145b&ssp=72665051211734382444173441346193699&ssq=75263596372611740188170207825408779087082&ssr=NTIuMy4yMTcuMjU0&sst=com.plumanalytics&ssu=&ssv=&ssw=&ssx=eyJfX3V6bWYiOiI3ZjYwMDBhYWEwODA3OS0yYjZmLTQzMWUtYWIwYi1iMzU3NDJlZTczNmYxNzM0MzcwMjA3OTY2OTM1MTgzOTItNzBkNzlhOWYwYjc0NTNiMjEyODMyIiwicmQiOiJpb3Aub3JnIiwidXpteCI6IjdmOTAwMDU5YmFjMzZmLWMyNDItNDJlMC1iOGNiLTUzMzhkNGFiYjhiMjItMTczNDM3MDIwNzk2NjkzNTE4MzkyLTU2Mjc1OWM2NGM1NjIyNDQxMjgzMiJ9
IOP Publishing
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know