You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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.

  1. Acoustic Intercept Receiver for Naval Special Warfare Undersea Vehicles

    SBC: Information Systems Laboratories, Inc.            Topic: N09T012

    Information Systems Laboratories (ISL) and Florida Atlantic University (FAU) propose to develop and test a system that uses existing signal processing algorithms coupled with innovative construction technology developed ISL under our E-Field sensor programs and FAU under UUV programs. The Challenge is to develop a small system package with the capability to intercept active threat emissions early ...

    STTR Phase II 2010 Department of DefenseNavy
  2. Adaptive and Smart Materials for Advanced Manufacturing Methods

    SBC: Nextgen Aeronautics, Inc.            Topic: AF17AT018

    The focus of this STTR program is the development and maturation of a novel, room-temperature process to fabricate multi-layer metal-polymer (including PVDF and other smart materials) composites in an additive approach. This overcomes the limitation arising from the large temperature difference between metal and polymer manufacturing processes, and presents a new technology for additive manufactur ...

    STTR Phase II 2019 Department of DefenseAir Force
  3. Adaptive Fleet Synthetic Scenario Research

    SBC: KAB LABORATORIES INC.            Topic: N10AT044

    Synthetic scenario-based training of Navy personnel in the use of Navy SIGINT/IO systems has helped to reduce training costs, and it has enabled the personnel to be trained in an environment that sufficiently approximates real-world situations that could not otherwise be accomplished within the class room. However, scenario development is highly complex and involves a great deal of human effo ...

    STTR Phase I 2010 Department of DefenseNavy
  4. Adaptive Integrated Multi-Modal Sensing Array

    SBC: Polaris Sensor Technologies, Inc.            Topic: AF08BT02

    Nanoscale infrared detectors are emerging as a potentially powerful alternative to traditional infrared detector technologies. The University of New Mexico has developed dots in a double well (DDWELL) quantum dot infrared photodetectors which have a spectral responsivity that can be tuned by controlling the bias voltage applied. In this Phase II effort, Polaris Sensor and UNM would fabricate a g ...

    STTR Phase II 2010 Department of DefenseAir Force
  5. Adaptive Learning for Stall Pre-cursor Identification and General Impending Failure Prediction

    SBC: Frontier Technology Inc.            Topic: N10AT008

    Frontier Technology, Inc. (FTI) and Northeastern University propose to investigate and develop an innovative approach to predict stall events of aircraft engines prior to occurrence and in sufficient time to allow the FADEC controller to adjust engine variables. The team will utilize vector quantization and neural network techniques to develop accurate models of engine behavior that will be used t ...

    STTR Phase I 2010 Department of DefenseNavy
  6. Adaptive multi-sensor wide area situational awareness system- MP 85-12

    SBC: METRON, INCORPORATED            Topic: AF12BT14

    ABSTRACT: Existing machine learning algorithms have difficulty using all available data about a problem. This STTR will develop a new algorithm that can make full use of all available data, whether that data is labeled or not, and even when some data types or data resolutions are not available during operation. BENEFIT: This STTR will develop a novel machine learning algorithm for reasoning abo ...

    STTR Phase I 2013 Department of DefenseAir Force
  7. Adaptive Turbine Engine Control for Stall Threat Identification and Avoidance

    SBC: AURORA FLIGHT SCIENCES CORPORATION            Topic: N10AT008

    Aurora Flight Sciences and MIT propose to develop a model-based adaptive health estimation and real-time proactive control to identify gas turbine engine stability risks and avoid them through control action. In this concept, the engine control system actively monitors sensors and actuators, compares them against physical models, and infers which components may be performing poorly and may need to ...

    STTR Phase I 2010 Department of DefenseNavy
  8. Additive Manufacturing of Multifunctional Nanocomposites

    SBC: Sciperio, Inc.            Topic: A13AT010

    Sciperio with team members Georgia Institute of Technology and Centecorp have teamed up to develop an Additive Manufacturing Composite using nano and micro fillers. The team will develop multi-scale models that are supported by experimental characterization for advanced 3D Printable materials. Inelastic response of high strength hierarchical structures composed of engineered materials and specif ...

    STTR Phase I 2013 Department of DefenseArmy
  9. Advanced Algorithms For A Combined Chem-Bio Standoff Sensor

    SBC: SOUTH BAY SCIENCE & TECHNOLOGY CORP.            Topic: ARMY08T026

    Frequency Agile Laser sensor has shown great promise in standoff detection of chemical and biological agents in the long wave infrared (LWIR) portion of the spectrum through several field trials in recent years. The fact that it is now possible to perform

    STTR Phase II 2010 Department of DefenseArmy
  10. Advanced Algorithms For A Combined Chem-Bio Standoff Sensor

    SBC: SOUTH BAY SCIENCE & TECHNOLOGY CORP.            Topic: A08T026

    Frequency Agile Laser sensor has shown great promise in standoff detection of chemical and biological agents in the long wave infrared (LWIR) portion of the spectrum through several field trials in recent years. The fact that it is now possible to perform

    STTR Phase II 2010 Department of DefenseArmy
US Flag An Official Website of the United States Government