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Award Data
The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.
Download all SBIR.gov award data either with award abstracts (290MB)
or without award abstracts (65MB).
A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.
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Stationary Wide-Angle Concentrator PV System
SBC: GLINT PHOTONICS, INC. Topic: MOSAICConcentrator PV systems using highly efficient multijunction photovoltaic cells hold out the promise of very low-cost solar electricity generation, but their adoption has been hamstrung by the requirement for bulky mechanical trackers that add cost, diminish land use, increase maintenance, and exclude roof-top installations. The Stationary Wide-Angle Concentrator (SWAC) PV system will provides the ...
SBIR Phase II 2016 Department of EnergyARPA-E -
Retrofittable and Transparent Super-Insulator for Single-Pane Windows
SBC: NANOSD, INC. Topic: DEFOA0001429NanoSD, Inc. with its partners will develop a transparent, nanostructured thermally insulating film that can be applied to existing single-pane windows to reduce heat loss. To produce the nanostructured film, the team will create hollow ceramic or polymer nanobubbles and consolidate them into a dense lattice structure using heat and compression. Because it is mostly air, the resulting nanobubble s ...
SBIR Phase II 2016 Department of EnergyARPA-E -
Retrofittable and Transparent Super-Insulator for Single-Pane Windows
SBC: NANOSD, INC. Topic: DEFOA0001429NanoSD, Inc. with its partners will develop a transparent, nanostructured thermally insulating film that can be applied to existing single-pane windows to reduce heat loss. To produce the nanostructured film, the team will create hollow ceramic or polymer nanobubbles and consolidate them into a dense lattice structure using heat and compression. Because it is mostly air, the resulting nanobubble s ...
STTR Phase II 2016 Department of EnergyARPA-E -
Vertical GaN transistors on bulk GaN substrates
SBC: Avogy Topic: 1In this abstract the development of vertical power transistors utilizing bulk GaN substrates with breakdown voltages of 1200V or higher, normally-off operation, and a drain current rating of 100A is proposed. These devices will feature vertical current flow, avalanche ruggedness, and a wide operating temperature range (-55 to 150°C). The target specific on-resistance for the transistor is 30x low ...
SBIR Phase II 2013 Department of EnergyARPA-E -
Vertical GaN Substrates
SBC: SIXPOINT MATERIALS, INC. Topic: DEFOA0000941SixPoint Materials will create low-cost, high-quality vertical gallium nitride (GaN) substrates using a multi-phase production approach that employs both hydride vapor phase epitaxy (HVPE) technology and ammonothermal growth techniques to lower costs and maintain crystal quality. Substrates are thin wafers of semiconducting material needed for power devices. In its two-phase project, SixPoint Mate ...
STTR Phase II 2014 Department of EnergyARPA-E -
Advanced Image Segmentation for Radar Imagery
SBC: ELECTROMAGNETIC SYSTEMS, INC. Topic: NGA172004Implement methods to improve our Phase I architecture for complex SAR imagery collected from different systems and with different collection parameters. Implement techniques to boost performance across all ground features of interest. Reduce the amount of human intervention needed for training our SAR image segmentation architecture. SAR segmentation can be applied to a number of areas: Intellig ...
SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency -
Low-Shot Detection in Remote Sensing Imagery
SBC: TOYON RESEARCH CORPORATION Topic: NGA172002Toyon Research Corporation proposes to develop algorithms that improve the precision and recall of neural networks for low-shot object classification and detection. Our approach is based upon developing a descriptive multi-domain feature representation of the low-shot target as well as the surrounding context. A multi-branch neural network merges the various domains of information to perform accur ...
SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency -
Video to Feature Data Association and
SBC: NOVATEUR RESEARCH SOLUTIONS LLC Topic: NGA181007This SBIR Phase II project proposes a probabilistic approach to determine a vehicle’s location using onboard video and Lidar sensors and foundation map data in GPS denied environments. The proposed system does not rely on only one type of information source, instead it combines proposals from a variety of location estimators to find a vehicles location in GPS-denied environments. The system take ...
SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency -
Generalized Change Detection to Cue Regions of Interest
SBC: TOYON RESEARCH CORPORATION Topic: NGA181006Toyon proposes to research and develop algorithms for generalized salient change detection, and to incorporate these algorithms into software tools implemented on the cloud. Our approach leverages the two most promising methods from Phase I, both based on supervised learning. The first method is the entropy-based feature vector and corresponding neural network, which we will apply at a coarse sear ...
SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency