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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. Bio-mathematical Models of Aggregated Tissues & Organ Properties

    SBC: Corvid Innovation LLC            Topic: DHP16A001

    Realistic surgical simulation requires a combination of representative tissue geometry, accurate tissue material properties and lifelike tool-tissue interaction forces. Recent advances in computational power and imaging modalities have provided the capability to represent the anatomical details required for surgical training; however, the mathematical models which govern the underlying tissue pro ...

    STTR Phase I 2016 Department of DefenseDefense Health Agency
  2. Bio-Mathematical Models of Aggregated Tissues & Organ Properties

    SBC: BIOMOJO LLC            Topic: DHP16A001

    BioMojo LLC and the Departments of Mathematics and Biomedical Engineering at the University of North Carolina Chapel Hill, will develop a preliminary bio mathematical model framework to represent how human tissues interact and behave at their boundaries. Tissue interaction properties (e.g. tensile, shear, friction, and so forth) of connective, epithelial, muscular, and nervous tissue including su ...

    STTR Phase I 2016 Department of DefenseDefense Health Agency
  3. Rapid Development of Weapon Payloads via Additive Manufacturing

    SBC: MATSYS INCORPORATED            Topic: DTRA16A001

    MATSYS proposes to adapt emerging additive manufacturing techniques (so-called 3-D Printing) for use with reactive structural materials and demonstrate this capability to rapidly fabricate reactive case. Our concept incorporates two major manufacturing steps: 3D printing of green compacts from pure Al or Al-based reactive powder blend; and Microwave (MW) sintering of green compacts into net-shaped ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  4. Self-fragmenting Structural Reactive Materials (SF-SRM) for High Combustion Efficiency

    SBC: MATSYS INCORPORATED            Topic: DTRA16A002

    MATSYS proposes to develop, test and evaluate a scalable metal-based reactive structural material that will self-fragment to micron or sub-micron scale fuel particles when subjected to explosive shock loading, resulting in significantly enhanced metal combustion efficiency. Use of reactive material casings offers the potential for several-fold increases in blast and overpressure by generating rapi ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  5. Portable and Automated Radiation Effects Test Structures for Advanced Technology Nodes

    SBC: MICROELECTRONICS RESEARCH DEVELOPMENT CORPORATION            Topic: DTRA16A003

    Micro-RDC will develop portable radiation effects test structures that scales to new process nodes. These structures will enable the investigation of the effects of radiation on the new technology from the material processing level as well as the circuit level. The production of the chosen structures and the development of software to extract the model parameters will form the framework. A suit ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  6. Developing Software for Pharmacodynamics and Bioassay Studies

    SBC: TConneX Inc.            Topic: DHP16C001

    Thegoal is to develop asoftwaretool that implementsa novelapproach applicableto fitgeneral pharmacologic, toxicology, or other biomedical data, that mayexhibita non-monotonic dose-responserelationship for which thecurrent parametricmodels fail. Thesoftwareexplores dose-responserelationships using both monotonicand non-monotonicmodels,and estimates theassociated doseresponsecurves,which can further ...

    STTR Phase II 2019 Department of DefenseDefense Health Agency
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