↓ Skip to main content

3D modeling of dual-gate FinFET

Overview of attention for article published in Discover Nano, November 2012
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
19 Mendeley
Title
3D modeling of dual-gate FinFET
Published in
Discover Nano, November 2012
DOI 10.1186/1556-276x-7-625
Pubmed ID
Authors

Samson Mil’shtein, Lalitha Devarakonda, Brian Zanchi, John Palma

Abstract

The tendency to have better control of the flow of electrons in a channel of field-effect transistors (FETs) did lead to the design of two gates in junction field-effect transistors, field plates in a variety of metal semiconductor field-effect transistors and high electron mobility transistors, and finally a gate wrapping around three sides of a narrow fin-shaped channel in a FinFET. With the enhanced control, performance trends of all FETs are still challenged by carrier mobility dependence on the strengths of the electrical field along the channel. However, in cases when the ratio of FinFET volume to its surface dramatically decreases, one should carefully consider the surface boundary conditions of the device. Moreover, the inherent non-planar nature of a FinFET demands 3D modeling for accurate analysis of the device performance. Using the Silvaco modeling tool with quantization effects, we modeled a physical FinFET described in the work of Hisamoto et al. (IEEE Tran. Elec. Devices 47:12, 2000) in 3D. We compared it with a 2D model of the same device. We demonstrated that 3D modeling produces more accurate results. As 3D modeling results came close to experimental measurements, we made the next step of the study by designing a dual-gate FinFET biased at Vg1 >Vg2. It is shown that the dual-gate FinFET carries higher transconductance than the single-gate device.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 37%
Researcher 4 21%
Student > Bachelor 2 11%
Professor 1 5%
Other 1 5%
Other 1 5%
Unknown 3 16%
Readers by discipline Count As %
Engineering 9 47%
Physics and Astronomy 3 16%
Materials Science 3 16%
Chemical Engineering 1 5%
Unknown 3 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 November 2012.
All research outputs
#22,758,309
of 25,371,288 outputs
Outputs from Discover Nano
#798
of 1,146 outputs
Outputs of similar age
#172,210
of 192,726 outputs
Outputs of similar age from Discover Nano
#15
of 90 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,146 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 192,726 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.