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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.

  1. Active Control of a Scramjet Engine

    SBC: Ahmic Aerospace LLC            Topic: AF15AT19

    Scramjet engines are designed to operate across a wide Mach number range and typically incorporate isolator sections to provide sufficient back-pressure margin and prevent unstart. As military requirements become increasingly demanding, an active, closed-loop control system is necessary to maintain engine stability and power output. During Phase I, key components of a scramjet control system were ...

    STTR Phase II 2016 Department of DefenseAir Force
  2. 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
  3. 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
  4. Advanced Mediator Architectures for Efficient Electron Transfer in Enzymatic Fuel Cell Electrodes

    SBC: CFD RESEARCH CORPORATION            Topic: AF09BT03

    Our objective is to develop advanced mediator architectures for efficient electron transfer in enzymatic fuel cells (EFCs) for low power systems. The proposed EFC will leverage ongoing research at both CFDRC and Michigan State University to provide a fully-integrated lightweight, low-cost, manufacturable, and renewable power supply, for various military and civilian applications. EFC systems offer ...

    STTR Phase I 2010 Department of DefenseAir Force
  5. Affordable Integrated Circuit Packaging and Assembly for High-Temperature Intelligent Components

    SBC: MICROELECTRONICS RESEARCH DEVELOPMENT CORPORATION            Topic: AF16AT17

    Micro-RDC proposes to demonstrate the feasibility of developing low-cost, low-weight, reliable packaging materials and processes to produce low-power advanced Integrated Circuits (ICs) that can operate continuously at temperatures between -55C and +225...

    STTR Phase I 2016 Department of DefenseAir Force
  6. A High Performance and Cost Effective Ultra High Performance Concrete

    SBC: i2C Solutions, LLC            Topic: AF12BT04

    ABSTRACT: Adversarial installations, such as those housing the means for nuclear weapons production, are increasingly being constructed in heavily fortified locations and often using ultra high performance concrete (UHPC) as the construction material. As such, the U.S. Air Force has considerable interest in further developments of ultra high performance concrete (UHPC) to maintain an advantage o ...

    STTR Phase I 2013 Department of DefenseAir Force
  7. A Multi-Modal State and Measurement Filter for RSO Tracking

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: AF09BT11

    Joint Space Operations Center under the United States Strategic Command employs a worldwide network of 29 sensors, known as the Space Surveillance Network (SSN), to track more than 17,000 man-made objects in Earth orbit with sizes 10 centimeters or larger. Decisive Analytics Corporation and the University of Texas Austin Center for Space Research propose an innovate framework for solving stochast ...

    STTR Phase I 2010 Department of DefenseAir Force
  8. An Immersed Boundary Framework for Topology Optimization of Nonlinear Thermoelastic Structures with Internal Radiation

    SBC: SPECTRAL ENERGIES LLC            Topic: AF17AT015

    Thermoelastic structures pose a critical challenge to designers due to the inherent design dependence of thermal loading on structural thickness. This is further exacerbated by structural nonlinearity due to in-plane, and more importantly, the out-of-plane bending deformation that further increases the effective loading on the structure. During Phase I of this project, we have added significant ne ...

    STTR Phase II 2018 Department of DefenseAir Force
  9. Anisotropic Property Manipulation of Selective Laser Melted GRCop-84

    SBC: SPECIAL AEROSPACE SERVICES            Topic: AF18AT009

    In partnership with the Colorado School of Mines Alliance for the Development of Additive Processing Technologies and with support from the Johns Hopkins University Energetic Research Group, Special Aerospace Services will provide the Air Force with characterization of fully dense Selective Laser Melted GRCop-84 subjected to a variety of manipulations that affect key performance metrics for regene ...

    STTR Phase I 2018 Department of DefenseAir Force
  10. Application of Hierarchical Memory Models to Automatic Target Recognition Modeling and Simulation

    SBC: NOVATEUR RESEARCH SOLUTIONS LLC            Topic: AF18AT014

    This SBIR Phase I project proposes a visual processing system for automated target recognition. Inspired by biological vision systems and hierarchical memory models, the proposed system is capable of learning hierarchical invariant features from unlabeled data that are independent of object labels. The model exploits these learned features to create hierarchical representations of target memories ...

    STTR Phase I 2018 Department of DefenseAir Force
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