SBIR/STTR Research Award

SBIR Phase II: Scalable Linear Ion Beam For Large Area Plasma Processing

Award identifier b599a29e7cb871cbb60e966a93bd16041489060bc849a8dc6883a7dbc2c51cedAwarding agency National Science Foundation

Award amount

$1,236,988

Program and phase

SBIR · Phase II

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
National Science Foundation
Branch
Not reported
Recipient company
MALACHITE TECHNOLOGIES INC
Proposal award date
2019-04-01
Contract end date
2021-03-31
UEI
SYL5E5RT5QU9
Solicitation number
Not reported
Topic code
PH

Research abstract

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project touches upon everything from shower doors to consumer electronics to window glass. Deposition of high-quality thin films on a large scale with precise energy control can allow, for one example, diamond-like carbon (DLC) on glass. DLC coatings on glass can prevent soapy film build-up on shower doors, can improve the scratch resistance of mobile phone displays, and can reduce the cost of energy-conserving windows. The control of energy during fabrication processes won't just broaden what films can be made; it will allow the use of a greater variety of substrates. In recent years, a number of applications have utilized traditional inorganic coatings like silicon oxide on top of new materials like organic solar cells and organic LEDs. These organic materials show greater sensitivity to degradation during the coating processes. This ion beam source can give industry, as it begins to bring these innovations to market, a tool with the level of energy control that will allow lab results to translate to high yield, low cost manufacturing. The proposed project addresses the challenge of depositing advanced thin films on insulating and/or delicate substrates. Control of the deposition's energy flux has been shown in laboratory demonstrations to be required for many thin films including diamond-like carbon, transparent conductive oxides on silicon and organic solar cells, and ultra-thin silver. A scalable linear ion beam sputter source will establish a high-volume manufacturing tool for thin films limited today to much smaller scale. In Phase 1, the source's functionality was demonstrated. Phase 2 has two major components: hardware development for scale and usability; process development for specific commercial applications. The company will deliver a fully integrated control system and a source, scaled by 2x and designed for manufacture. Process development will consider beam energetics and geometry of beam/target/substrate relative to film and substrate properties. For DLC, this will focus on tribological and optical properties. For silver, they will test for continuity of ultra-thin films. Transparent Conducting Oxide (TCO) efforts will focus on electrical properties and substrate impacts, particularly carrier lifetime in silicon. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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.

Research funding history

3 SBIR/STTR records share this UEI (2017–2023). Reported award amounts total $1,608,478. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Science Foundation, Department of Defense

Agency intelligence

National Science Foundation

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.