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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. Orthogonal Chip Based Electronic Sensors for Chemical Agents

    SBC: SEACOAST SCIENCE, INC.            Topic: AF08T015

    Recent years have seen a shift in threats to US national security. Today increasing focus for national security is management of terrorist activities. Deliberately exposing a civilian population to chemicals and explosives to cause harm represents a looming terrorist threat. Early detection and identification is a difficult but essential element to minimizing the threat. The Seacoast Science/U ...

    STTR Phase II 2010 Department of DefenseAir Force
  2. Fabrication Technology for Oxide Film Heterostructure Devices

    SBC: STRUCTURED MATERIALS INDUSTRIES, INC.            Topic: AF08BT22

    In this STTR program, Structured Materials Industries, Inc. (SMI) and our partners are developing commercially viable fabrication technology for oxide heterostructure based nanoelectronic devices. Oxide heterostructures, consisting of a polar oxide such as LaAlO3 and a non-polar oxide such as SrTiO3, offer a novel route to building nanoelectronic devices. The benefits of these devices will inclu ...

    STTR Phase II 2010 Department of DefenseAir Force
  3. Graphene Production Tool

    SBC: STRUCTURED MATERIALS INDUSTRIES, INC.            Topic: AF08BT10

    In this STTR program, Structured Materials Industries, Inc. (SMI) and Cornell University are developing a flexible graphene film deposition system, for both research and production applications. In Phase I, our team demonstrated technical feasibility of scaling existing graphene process technology at Cornell to large wafer sizes. We demonstrated high quality graphene films by both silicon sublim ...

    STTR Phase II 2010 Department of DefenseAir Force
  4. Orthogonal Chip Based Electronic Sensors for Chemical Agents

    SBC: SEACOAST SCIENCE, INC.            Topic: AF08T015

    Recent years have seen a shift in threats to US national security. Today increasing focus for national security is management of terrorist activities. Deliberately exposing a civilian population to chemicals and explosives to cause harm represents a looming terrorist threat. Early detection and identification is a difficult but essential element to minimizing the threat. The Seacoast Science/U ...

    STTR Phase II 2010 Department of DefenseAir Force
  5. High frequency (HF) direction-finding (DF) system based on an array of high-Tc superconducting quantum interference devices (SQUIDs)

    SBC: Out of the Fog Research LLC            Topic: AF10BT40

    ABSTRACT: In Phase II, we will fabricate a SQUID array antenna. We will develop cryopackaging and control electronics for these devices. We integrate the device onto a cryocooler and build a laboratory prototype. We will then have all of the building blocks to build a fieldable prototype in Phase III. BENEFIT: Military Application: Microwave Communication Systems for ISR. Commercial Application ...

    STTR Phase II 2013 Department of DefenseAir Force
  6. Small Sample Size Semi-Supervised Feature Clustering for Detection and Classification of Objects and Activities in Still and Motion Multi-spectral Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: AF15AT35

    Toyon Research Corp. and the Penn State Univ. propose research and development of innovative algorithms for classifying objects and activities observed in high-dimensional data extracted from multi-sensor motion imagery. The proposed algorithms include novel feature clustering techniques to enable effective characterization of intra-class and inter-class appearance variations in datasets containin ...

    STTR Phase II 2016 Department of DefenseAir Force
  7. Rapid Discovery of Evasive Satellite Behaviors

    SBC: DATA FUSION & NEURAL NETWORKS, LLC            Topic: AF17CT02

    The problem addressed in this effort is to automatically learn historical ephemeris space catalog time, position, and velocity entity track update error uncertainties (i.e., without track error covariances) and to automatically (e.g., without expert event labeling) produce: – unmodeled non-gravitational space catalog update flags – abnormal unmodeled catalog update flags with abnorma ...

    STTR Phase II 2019 Department of DefenseAir Force
  8. Nublu: Assured Information Sharing in Clouds

    SBC: MODUS OPERANDI, INC.            Topic: AF11BT30

    ABSTRACT: We propose to develop an assured information sharing framework for cloud-based systems that leverages our ongoing work in the areas of policy-based usage management and semantic interoperability. The development of this framework will involve the creation of a novel approach to information sharing that treats security as a commodity that can be dynamically provisioned within the cloud, ...

    STTR Phase II 2013 Department of DefenseAir Force
  9. Robust Model for Behavior of Complex Materials during Spin Testing

    SBC: SYMPLECTIC ENGINEERING CORP            Topic: AF08T013

    The objective of this project is to develop a practical finite element-based simulation of spin-pit tests of disks. The performance of disks in spin-pit tests critically depends on localized effects, such as residual stresses, dislocations, and microstructure gradients. Therefore, a two-scale modeling approach is adopted. At the global-scale, the disk is represented by means of finite elements wit ...

    STTR Phase II 2010 Department of DefenseAir Force
  10. Highly-Scalable Computational-Based Engineering Algorithms for Emerging Parallel Machine Architectures

    SBC: RNET TECHNOLOGIES INC            Topic: AF10BT13

    ABSTRACT: RNET and The Ohio State University propose to use algorithmic modifications and multi-level parallelization techniques and tools to improve the scalability of the aero-line/aero-elastic coupled CFD/CSD codes relevant to the DoD/AF (e.g., CREATE/Kestrel). The optimizations will address inter-node and intra-node parallelization to better target emerging compute architectures (e.g., multi ...

    STTR Phase II 2013 Department of DefenseAir Force
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