You are here
Award Data
The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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.
-
Microelectronics Component Adhesive Selection and Design Rules for Failure Avoidance
SBC: CFD RESEARCH CORPORATION Topic: MDA14T002Thermally induced fatigue and residual stress introduced during fabrication are sources of failure in microelectronics, which raises reliability concerns for MDA and its system integrators. CFDRC has teamed with experts in the reliability of microelectronics packaging to develop a physics based modeling and testing protocol to correlate material properties and thermal loading conditions to stress ...
STTR Phase II 2016 Department of DefenseMissile Defense Agency -
Fine Powder Cathode and Separator Binder Characterization for Thermal Batteries
SBC: CFD RESEARCH CORPORATION Topic: MDA16T001Fine powder thermal battery cathode materials can exhibit challenging flow properties which makes processing with automated presses difficult.Granulating these powders can substantially improve flow properties and reduce the tendency for powder segregation during handling and pressing operations.Additionally, the properties of MgO that lead to good performance in thermal battery separators are not ...
STTR Phase II 2018 Department of DefenseMissile Defense Agency -
Smallsat Cryocooler System
SBC: IRIS TECHNOLOGY CORPORATION Topic: MDA17T003The Iris Technology team which also include Northrop Grumman Aerospace Systems (NGAS) and the University of Wisconsin, is attacking the problem of high-efficiency, low-volume, space-qualified cryocooler systems.The team has a firm starting point by leveraging the Northrop Grumman Microcryocooler and the Iris Technology mLCCE (Miniature Low Cost Control Electronics).TMU enhancement will start with ...
STTR Phase I 2018 Department of DefenseMissile Defense Agency -
Robust Classification through Deep Learning and Dynamic Multi-Entity Bayesian Reasoning
SBC: EXOANALYTIC SOLUTIONS INC Topic: MDA15T001Missile defense faces the challenges of rapidly maturing and evolving complex threats, possessing capabilities which require the use of all available resources to successfully detect, track and identify the lethal objects. Future performance will rely on multiple sensors such as ground and sea based radars and electro-optical and infrared sensors for target recognition. It is crucial to develop a ...
STTR Phase I 2016 Department of DefenseMissile Defense Agency