SBIR/STTR Research Award

Monolithically Integrated GeSn Photodetectors on Si for High Performance IR Image Sensors

Award identifier 2d33a8661571eb5d74759905f0b7c6a9781a7d0996b3f7a6d361d2662c847d8aAwarding agency Department of Defense · Air Force

Award amount

$150,000

Program and phase

STTR · Phase I

Award year

2023

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
ARKTONICS LLC
Proposal award date
2022-12-02
Contract end date
2023-09-30
UEI
EJLBRBJ24693
Solicitation number
22.A
Topic code
AF22A-T006

Research abstract

In this project, Arktonics proposes to develop monolithically integrated GeSn photodetectors on Si for high performance IR imaging sensors.  The proposed sensing materials, GeSn semiconducting alloys, have spectral sensitivity that could cover a broad wavelength range from SWIR, MWIR, to LWIR.  The GeSn sensor array could be manufactured using standard IC industry techniques for high volume production, high reliability, and low cost.  The proposed technology could be disruptive for IR imaging market.  This Phase-I project is focused on the feasibility study by i) conducting theoretical modeling and experimental investigation of different GeSn growth techniques to characterize the materials to effectively evaluate the best technical pathway for CMOS integration and ii) conducting preliminary device design simulation and prototype device development to establish the baseline characteristics.

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

8 SBIR/STTR records share this UEI (2015–2024). Reported award amounts total $6,050,000. Reported amounts are not federal obligations.

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

Agencies: Department of Defense

Agency intelligence

Department of Defense

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