SBIR/STTR Research Award

Carbon Nanotube FET Modeling and RF circuits

Award identifier c22dacfa0098a411be25507d29dbace92170ecd37194f748e19755889acdcee8Awarding agency Department of Defense · Air Force

Award amount

$149,999

Program and phase

STTR · Phase I

Award year

2019

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
CARBON TECHNOLOGY INC
Proposal award date
2019-02-07
Contract end date
2019-02-07
UEI
XBC5ZX8WG618
Solicitation number
18.B
Topic code
AF18B-T006

Research abstract

The proposed work aims at detailed investigation of Carbon Nanotube Field-Effect Transistor (CNTFET) device design and its impact on Radio-frequency (RF) circuit performance in comparison to Si-MOSFETs and related circuits at the same channel lengths. The goal is to establish a geometry scalable CNTFET compact model for RF circuit design and determine its parameters based on characteristics from both fabricated and numerically simulated devices. The knowledge obtained through the proposed work will guide the device design and fabrication which will lead to the demonstration of the superiority of CNTFET device and circuit performance over CMOS for RF applications.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

10 SBIR/STTR records share this UEI (2015–2025). Reported award amounts total $5,460,214. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, Department of Energy, National Science Foundation

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.