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Article details
Title
Design, Modeling, and Fabrication of Chemical Vapor Deposition Grown MoS2 Circuits with E‑Mode FETs for Large-Area Electronics
Published in
Nano Letters, September 2016
DOI 10.1021/acs.nanolett.6b02739
Pubmed ID
Authors
Abstract

Two-dimensional electronics based on single-layer (SL) MoS2 offers significant advantages for realizing large-scale flexible systems owing to its ultrathin nature, good transport properties and stable crystalline structure. In this work, we utilize a gate first process technology for the fabrication of highly uniform enhancement mode FETs, with large mobility and excellent subthreshold swing. To enable large-scale MoS2 circuit, we also develop Verilog-A compact models that accurately predict the performance of the fabricated MoS2 FETs as well as a parameterized layout cell for the FET to facilitate the design and layout process using computer aided design (CAD) tools. Using this CAD flow, we designed combinational logic gates and sequential circuits (AND, OR, NAND, NOR, XNOR, Latch, edge-triggered register), which were then fabricated using the proposed flow showing excellent performance. The fabricated integrated circuits constitute the basis of a standard cell digital library which is crucial for electronic circuit design using hardware description languages. The proposed design flow provides a platform for the co-optimization of the device fabrication technology and circuits design for future ubiquitous flexible and transparent electronics using two-dimensional materials.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 1%
Unknown 135 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 40 29%
Student > Master 16 12%
Researcher 15 11%
Student > Bachelor 5 4%
Professor > Associate Professor 4 3%
Other 14 10%
Unknown 43 31%
Readers by discipline
Readers by discipline Count As %
Engineering 40 29%
Materials Science 27 20%
Physics and Astronomy 9 7%
Chemistry 4 3%
Social Sciences 2 1%
Other 5 4%
Unknown 50 36%
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 17 September 2016.
All research outputs
#18,471,305
of 22,888,307 outputs
Outputs from Nano Letters
#10,571
of 12,412 outputs
Outputs of similar age
#244,864
of 322,615 outputs
Outputs of similar age from Nano Letters
#240
of 269 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,412 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 7th percentile – i.e., 7% 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 322,615 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 269 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.