SBIR/STTR Research Award

DEVELOPMENT OF CD(1-X)MN(X)TE AS A LATTICE MATCHED SUBSTRATE FOR EPITAXY OF HG(1-X)CD(X)TE

Award identifier 4ee771efef7f53830ca662cf2843e715a60f1e5d919bb137ecb6da77269a28dcAwarding agency Department of Defense · Army

Award amount

$250,000

Program and phase

SBIR · Phase II

Award year

1989

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
Army
Recipient company
Ii-vi Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

THE GROWTH OF HG(1-X)CD(X)TE LAYERS BY MOLECULAR BEAM EPITAXY (MBE) AND INNOVATIVE IN-SITU WAFER PREPRATION PRIOR TO GROWTH ARE KEY ISSUES IN DEVELOPING SECOND GENERATION HIGH PERFORMANCE IR DETECTORS. THE OBJECTIVE OF THIS WORK IS TO ESTABLISH THE GROWTH OF CD(1-X)MN(X)TE CRYSTALS THAT CAN SERVE AS SUBSTRATES FOR THE GROWTH OF LATTICE-MATCHED HG(1-X)CD(X)TE LAYERS. PHASE I WILL INCLUDE: (1) SCALEUP OF CRYSTAL GROWTH TECHNOLOGY TO PRODUCE LARGE HIGH QUALITY SUBSTRATES, (2) ASSESSMENT OF WAFER AND SURFACE PROCESSING, (3) DEVELOPMENT OF INGOT CHARACTERIZATION AND (4) DEVELOPMENT OF SPUTTERCLEANING AND ANNEALING KINETICS UTILIZING X-RAY PHOTOEMISSION SPECTROSCOPY (XPS) AND PHOTOREFLECTANCE (PR) SPECTROSCOPY. PHASE II IS ENVISIONED TO INCLUDE: (1) PURIFICATION OF SOURCE MATERIALS, (2) DEVELOPMENT OF ADVANCED GROWTH TECHNOLOGY TO IMPROVE THE CRYSTAL QUALITY, (3) DEVELOPMENT OF ADVANCED CHARACTERIZATION TECHNOLOGY, (4) DEVELOPMENT OF IN-SITU FINAL WAFER PREPARATION AND GROWTH IN AN MBE SYSTEM.

Technology keywords

Not reported

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.