SBIR/STTR Research Award

Carbon Nanotube FET Modeling and RF Circuit Simulation

Award identifier 750b1a011286d64d76bcfc9ff88f0783c265bd861d89d41c57cebb484563304dAwarding agency Department of Defense · Air Force

Award amount

$149,598

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
ELECTRONICS OF THE FUTURE, INC.
Proposal award date
2019-01-22
Contract end date
2019-01-22
UEI
TPFACLLLBJH5
Solicitation number
18.B
Topic code
AF18B-T006

Research abstract

The project will develop and validate a geometry scalable CNTFET compact model for HF circuit design and extract the model parameters from the measured characteristics of the fabricated devices. The ballistic and quasi-ballistic transport, quantum and parasitic effects will be accounted for the predicted performance will be compared to 130 nm RF Si-CMOS to determine the conditions for breaking even with CMOS and predict best CNTFET performance that can be expected. The model will be validated using the measured characteristics of fabricated transistors. The developed compact model will be suitable for design of RF and digital circuits.

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

3 SBIR/STTR records share this UEI (2019–2020). Reported award amounts total $274,595. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

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.