| Title |
Switching Behaviors of Graphene-Boron Nitride Nanotube Heterojunctions
|
|---|---|
| Published in |
Scientific Reports, July 2015
|
| DOI | 10.1038/srep12238 |
| Pubmed ID | |
| Authors |
Vyom Parashar, Corentin P. Durand, Boyi Hao, Rodrigo G. Amorim, Ravindra Pandey, Bishnu Tiwari, Dongyan Zhang, Yang Liu, An-Ping Li, Yoke Khin Yap |
| Abstract |
High electron mobility of graphene has enabled their application in high-frequency analogue devices but their gapless nature has hindered their use in digital switches. In contrast, the structural analogous, h-BN sheets and BN nanotubes (BNNTs) are wide band gap insulators. Here we show that the growth of electrically insulating BNNTs on graphene can enable the use of graphene as effective digital switches. These graphene-BNNT heterojunctions were characterized at room temperature by four-probe scanning tunneling microscopy (4-probe STM) under real-time monitoring of scanning electron microscopy (SEM). A switching ratio as high as 10(5) at a turn-on voltage as low as 0.5 V were recorded. Simulation by density functional theory (DFT) suggests that mismatch of the density of states (DOS) is responsible for these novel switching behaviors. |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Unknown | 37 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 37% |
| Researcher | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Student > Postgraduate | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 24% |
| Physics and Astronomy | 8 | 21% |
| Chemistry | 5 | 13% |
| Materials Science | 5 | 13% |
| Computer Science | 2 | 5% |
| Other | 1 | 3% |
| Unknown | 8 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 57. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 June 2016.
All research outputs
#663,843
of 23,567,572 outputs
Outputs from Scientific Reports
#7,305
of 127,352 outputs
Outputs of similar age
#8,376
of 265,359 outputs
Outputs of similar age from Scientific Reports
#108
of 1,947 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 127,352 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.4. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,359 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 1,947 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.