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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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An Ontogenic Polynomial Neural Network/Expert System Modeling Evnironment for Chaotic Avionics Systems Behavior Prediction
SBC: ABTECH CORPORATION Topic: N/AN/A
SBIR Phase I 1993 Department of DefenseAir Force -
METHODS FOR REDUCING PLASMA EFFECTS ON THE NASP
SBC: ACCURATE AUTOMATION CORPORATION Topic: N/AWE PROPOSE THE DEVELOPMENT OF AN INNOVATIVE NEUROCONTROLLER THAT GENERATES TRAJECTORIES WHICH REDUCE PLASMA EFFECTS ON THE COMMUNICATION SYSTEM OF THE NASP. WE WILL MODEL PLASMA SHEATH GENERATION AND INCORPORATE THIS MODEL INTO A GHAME FLIGHT SIMULATOR ON A SILICON GRAPHICS WORKSTATION. THIS MODEL WILL THEN BE USED IN THE DEVELOPMENT OF THE CONTROLLER AND SUITABLE ADAPTATION LAWS. COST FUNCTIONS W ...
SBIR Phase II 1993 Department of DefenseAir Force -
PARALLEL NEURAL NETWORK TOOLBOX FOR SUPERCOMPUTERS
SBC: ACCURATE AUTOMATION CORPORATION Topic: N/ATHIS PROPOSAL INVOLVES RESEARCH INTO A SUPERCOMPUTER-BASED ENVIRONMENT FOR RESEARCH INTO MASSIVELY PARALLEL NEURAL-NETWORK ALGORITHMS FOR LARGE SCALE, COMPUTATIONALLY INTENSE PROBLEMS. THIS ENVIRONMENT WILL HAVE APPLICATION TO AREAS SUCH AS IMAGE PROCESSING, PATTERN RECOGNITION, CONTROL SIGNAL PROCESSING, DATA COMPRESSION, AND FAULT DIAGNOSIS. ALL OF THESE ARE AREAS WHICH INVOLVE MASSIVE AMOUNTS O ...
SBIR Phase II 1993 Department of DefenseAir Force -
Ontogenic Neural Networks for Avionics Applications
SBC: ACCURATE AUTOMATION CORPORATION Topic: N/AThe study of neural networks which possess the capability to learn and grow with little or no supervision will be explored during this research effort. These networks exhibit ontogenic behavior and are termed ontogenic neural networks. This reasearch effort explores the use of hybrid neural network structures which are capable of self-organization, feature discovery and self generation in a compos ...
SBIR Phase I 1993 Department of DefenseAir Force -
Neural Network Methods for Preventing Unstarts
SBC: ACCURATE AUTOMATION CORPORATION Topic: N/AN/A
SBIR Phase I 1993 Department of DefenseAir Force -
Sensor Fusion in a Dynamic Model-Based System
SBC: ACCURATE AUTOMATION CORPORATION Topic: N/AN/A
SBIR Phase I 1993 Department of DefenseAir Force -
An Active Smart Material System for Buffet Load Alleviation
SBC: Active Control eXperts, Inc. Topic: N/AN/A
SBIR Phase I 1993 Department of DefenseAir Force -
FINE WATER MIST SYSTEM FOR REPLACEMENT OF HALON 1301 FIRE EXTINGUISHER SYSTEMS
SBC: ADA TECHNOLOGIES, INC. Topic: N/AU.S. production of Halons will decrease from 28 million lbs in 1988 to zero in 1995 to meet the U.S. commitments to the Montreal Protocol. A major use of Halon 1301 is as a fire suppression flooding agent. The use of fine water mists from two-fluid atomizing nozzles is proposed as a replacement for Halon 1301 fire suppression systems, especially for Class B fuel fires. The optimum droplet size and ...
SBIR Phase I 1993 Department of DefenseAir Force -
APPLICATION OF PULSE CORONA INDUCES PLASMAS FOR CONTROL OF NOx FROM JET ENGINE TEST CELLS
SBC: ADA TECHNOLOGIES, INC. Topic: N/AN/A
SBIR Phase I 1993 Department of DefenseAir Force -
RECYCLING PROCESS FOR AIRCRAFT PLASTICS AND COMPOSITES
SBC: Adherent Technologies, Inc. Topic: N/AN/A
SBIR Phase I 1993 Department of DefenseAir Force