SBIR/STTR Research Award

STTR Phase I: Robust Organic Light-Emitting Diodes (OLED) Displays using Self-Assembled MonoLayers

Award identifier f898fdc12c7f707a0d8142874c6654e0a2007e36851e3019988a8cee5801fa16Awarding agency National Science Foundation

Award amount

$97,620

Program and phase

STTR · Phase I

Award year

2006

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
Add-vision, Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
NSF 05-557
Topic code
EL

Research abstract

The Small Business Technology Transfer (STTR) Phase I project will demonstrate the feasibility of using self-assembled mono-layers to dramatically improve the cost performance of OLED displays. The OLED industry is interested in p-i-n structured OLEDs because they can be fully printed in open-air conditions on flexible barrier substrates through the use of air-stable printable electrodes; however, these displays suffer from slow switching speeds and shortened lifetimes. The intellectual merit of this proposal is focused on stabilizing the p-i-n junction architecture for OLED devices using self-assembled mono-layers (SAM). This effort will focus on developing the materials and processes for depositing the SAM layer that specifically overcomes the weaknesses of current p-i-n displays caused by the mobility of the dopants responsible for the p and n-type doping, and to dramatically improve the efficiency, lifetime, switching speed, and printability of LEP devices onto flexible substrates. The broader impact of this proposal will be the creation of a significant technology and print-based manufacturing platform that will accelerate the use of OLED displays and photovoltaics in the low cost, large-area optoelectronic markets. Such technology is expected to provide low cost, flexible displays and could have a direct impact on other printable electronics, such as organic transistors and memory, where low cost manufacturing of high efficiency devices are paramount for commercial success.

Technology keywords

Not reported

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.