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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. Innovative Polishing Technology for Fabrication of High Performance Epi-ready GaSb Substrates

    SBC: Sinmat Inc            Topic: MDA12T003

    Antimony containing III-V semiconducting compounds are particularly attractive for the fabrication of a wide variety of electronic and optoelectronic devices such as photo detectors operating in the long wave infrared wavelength (12-32µm) range. The production of epi quality GaSb wafers still remains one of the important problems for rapid commercialization of GaSb devices. Sinmat Inc. proposes a ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  2. RF-IR Data Fusion

    SBC: DECIBEL RESEARCH, INC.            Topic: MDA12T002

    The development and integration of three unique and innovative algorithm prototypes into a"Fused Track and Characterization Schema"are proposed. This Schema will encompass the determination of signatures and characteristics of objects that can be identified by RF and EO/IR Sensors in order to enable multi-sensor data fusion and correlation. The first algorithm, the"3D Pose Estimation"Algorithm, p ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  3. Efficient Clutter Suppression and Nonlinear Filtering Techniques for Tracking Dim Closely Spaced Objects in the Presence of Debris

    SBC: TOYON RESEARCH CORPORATION            Topic: MDA12T004

    EO/IR elements of the Ballistic Missile Defense System (BMDS) responsible for detecting and tracking ballistic missile threats encounter extraordinarily challenging threat and scene phenomenology. Specifically, non-stationary clutter characteristic of airborne and satellite-based sensor systems, along with dim target signatures, closely-spaced objects, and dense debris clouds typical of ballistic ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  4. M&S Uncertainty Quantification

    SBC: OPTIMIZATION TECHNOLOGIES, INC.            Topic: MDA12T007

    OptTek Systems, Inc (OptTek), proposes an affordable, effective UQ capability for both legacy and new BMDS M & S. The OptTek Team includes research institution partner Oak Ridge National Laboratory (ORNL) and subcontractor RTSync Corporation (RTSync). The proposed BMDS M & S UQ capability maximizes insertability into existing and future MDA BMDS M & S-supported Event processes, analysis methods, a ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  5. M&S Uncertainty Quantification

    SBC: Applied Biomathematics Inc            Topic: MDA12T007

    An emerging consensus in engineering holds that aleatory uncertainty should be propagated by traditional methods of probability theory but that epistemic uncertainty may require methods that do not confuse incertitude with variability by requiring every possibility be associated with a probability that it occurs. Therefore, although Monte Carlo shells that re-run calculations many times while var ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  6. M&S Uncertainty Quantification

    SBC: NUMERICA CORPORATION            Topic: MDA12T007

    A goal of Uncertainty Quantification (UQ) is to use computer simulation of complex systems to make scientifically informed assessments for high-consequence decisions. Because end-to-end empirical data is difficult to obtain for the Ballistic Missile Defense System (BMDS), computer simulation provides the best method for understanding BMDS capabilities against a wide range of threats. Numerica Co ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  7. M&S Uncertainty Quantification

    SBC: M4 ENGINEERING, INC.            Topic: MDA12T007

    M4 Engineering, Inc. and Missouri S & T propose to investigate and refine uncertainty quantification (UQ) methods for Ballistic Missile Defense Systems (BMDS) Modeling and Simulation (M & S) with the emphasis on demonstrating the feasibility of non-intrusive stochastic expansions based on polynomial chaos, which will address the accuracy and computational efficiency issues associated with UQ in BM ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  8. Aerospace Vehicle Signature Modeling Technologies

    SBC: GOHYPERSONIC INCORPORATED            Topic: MDA15T003

    The proposed work will incorporate the newly released software into the signature analysis workflow. Extensions of the US3D flow solver will include improvements to the decoupled implicit solver to robustly and efficiently handle reacting flow. Trajectory specification, conjugate vehicle heating, and ablation with surface recession will be enabled through use of a Trajectory Ablation & Shape Chang ...

    STTR Phase I 2017 Department of DefenseMissile Defense Agency
  9. Fine Powder Cathode and Separator Binder Characterization for Thermal Batteries

    SBC: CFD RESEARCH CORPORATION            Topic: MDA16T001

    Fine powder thermal battery cathode materials can exhibit challenging flow properties which makes processing with automated presses difficult.Granulating these powders substantially improves flow properties and reduces the tendency for powder segregation during handling and pressing operations.The properties of Magnesium Oxide (MgO) that lead to good performance in thermal battery separators are n ...

    STTR Phase I 2017 Department of DefenseMissile Defense Agency
  10. Manufacturing Efficiency and Capability:Improvement of Flow Properties of Thermal Battery Component Powders

    SBC: Material Flow Solutions, Inc.            Topic: MDA16T001

    The premise of this work is that the main barrier to optimizing battery performance lies in understanding the relationship between bulk solids and particle flow properties and the flow into the die.Our hypothesis: an increase in quality battery production can be achieved if product preparation can be optimized and/or the die filling process controlled.Since die compression is mainly one-dimensiona ...

    STTR Phase I 2017 Department of DefenseMissile Defense Agency
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