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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Game-based AutonoMy-Enabled Response (GAMER)

    SBC: BARRON ASSOCIATES INC            Topic: AF12BT09

    ABSTRACT: Barron Associates Inc. proposes development of a Game-based AutonoMy-Enabled Response (GAMER) system for spacecraft protection. The effort extends leading-edge research in dynamic games to enable autonomous defensive response to space threats. GAMER introduces a hierarchical approach that enables multiple satellites to work together towards a common protection strategy in an evolving en ...

    STTR Phase I 2013 Department of DefenseAir Force
  2. Electron emitting graphene based composite coating for spacecraft charging mitigation

    SBC: Faraday Technology, Inc.            Topic: AF18AT011

    Faraday and Utah State University propose to demonstrate the feasibility of utilizing electrophoretic deposition to develop graphene features with controlled functional properties in order to address the DoD need for a spacecraft charging mitigation. Implementation of such materials in DoD mission areas is anticipated to lower costs, improve sustainability, and increase readiness. The proposed Pha ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Power Electronics Thermal Interface (PETI) with Conductive Diamond Plating

    SBC: GLOBAL CIRCUIT INNOVATIONS INC            Topic: AF19BT001

    A growing number of electronic applications within the Air Force, such as devices for power conditioning and distribution, RF power amplification, and high power lasers have been identified for increased heat transfer requirements to maintain operational temperatures at acceptable levels while increasing the performance through higher power. However, this same target research that requires increas ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Innovative Earth Gravity Reformulation and Numerical Integration for Responsive SSA

    SBC: OMITRON INC            Topic: AF09BT02

    Currently, computation of the geopotential acceleration and its partial derivatives consumes a large portion of numerical integration time in special perturbations (SP) applications. The standard geopotential formulation is expressed as a spherical harmonic expansion in geocentric latitude, geocentric longitude, and radial distance. Recent research by Dr. Beylkin of the University of Colorado ha ...

    STTR Phase I 2010 Department of DefenseAir Force
  5. Time series prediction for satellite ballistic coefficients

    SBC: OMITRON INC            Topic: AF10BT36

    ABSTRACT: The leading errors in computing future positions of satellites in Low Earth Orbit are generally due to inaccuracies in the thermospheric density and the prediction thereof. The use of Dynamic Calibration Atmosphere has reduced these traditional sources of error and variations seen in ballistic coefficients can now be attributed to unmodeled satellite frontal area changes. When the orb ...

    STTR Phase II 2013 Department of DefenseAir Force
  6. Cyber Forensic Tool Kit for Machinery Control

    SBC: MISSION SECURE INC            Topic: N16AT013

    The objective of this effort matures a technology called EagleEye Sentinel Hosted – Secure Overlay System Protect (ESH-SOSP), to provide a new security layer for normal cyber physical system (CPS) operations as the basis for detecting system anomalies and cyber-attacks for the U.S. Air Force. ESH-SOSP technology provides the security analyst the means to have all the necessary and relevant ...

    STTR Phase II 2019 Department of DefenseAir Force
  7. PRIME: PRimary Integration and Maturation of EGS

    SBC: THE DESIGN KNOWLEDGE COMPANY LLC            Topic: AF18BT012

    Legacy satellite command and control capabilities and their related telemetry operate in a largely stove piped framework. Satellites are still commanded, controlled, and communicated with their ground station in a specific constellation structure. Each ground station is unique to a given constellation and the communications and telemetry are aligned to the specific constellation, underscoring an o ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Diagnostics for Performance Quantification and Combustion Characterization in Rotational Detonation Rocket Engine (RDRE)

    SBC: INNOVATIVE SCIENTIFIC SOLUTIONS INC            Topic: AF19AT011

    In Phase I, ISSI will design and demonstrate a laser absorption-based sensor for time-resolved measurements of combustion fuel/product concentrations (H2O, CO, CO2 and fuel) and gas temperature within the detonation channels and nozzle exit-plane of a rotating detonation rocket engine (RDRE). The goal of this STTR is to develop a single sided sensor that plugs into the outer wall of the RDRE simil ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. 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
  10. Autonomous Decision Making via Hierarchical Brain Emulation-- 19-009

    SBC: METRON INCORPORATED            Topic: AF19AT009

    The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...

    STTR Phase I 2019 Department of DefenseAir Force
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