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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. High Frequency MEMS-based TWTS using Novel Interaction Circuits and Beam Sources

    SBC: CALABAZAS CREEK RESEARCH, INC.            Topic: N/A

    From consultations with the Army program manager, it was determined that the Army has a strong need for improved amplifiers in the W band. Accordingly, the proposed Phase II overall technical objective is to develop a 10 W, W-band prototype planar helix TWT. In Phase I, we addressed improving the repeatability, cost and yields of conventional Ka-band TWTs by introducing novel circuits, beam sou ...

    STTR Phase I 2004 Department of DefenseArmy
  2. Advanced Computational Algorithms for Simulating Weapon-Target Interaction

    SBC: ACTA, LLC            Topic: N/A

    This STTR project will develop and validate a robust, scalable computational capability for the simulation of weapon-target interactions of interest to the Army. The proposed algorithm is based on the FLIP (Fluid Implicit Particle) - MPM (Material PointMethod) - MFM (Multiphase Flow Method) approach and the CartaBlanca nonlinear solver environment developed at Los Alamos National Laboratory. Car ...

    STTR Phase I 2003 Department of DefenseArmy
  3. Real-time Adaptive Classification Environment using Rules (RACER)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: N/A

    Automatic Target Recognition (ATR) algorithms must be able to identify the conditions under which they are operating and tune their parameters accordingly to ensure robust accuracy and low false-alarm rate. For example, the signature of a target imagedunder ideal weather conditions (overcast skies) is fundamentally different from the signature of a target imaged when raining. Therefore, a single A ...

    STTR Phase I 2003 Department of DefenseArmy
  4. Standoff Chemical/Biological Sensor Detection Algorithms

    SBC: DBC Technology Corp.            Topic: N/A

    The Phase I program objectives were successfully completed. In addition, novel ideas were developed that will be of use in the Phase II program and in the field of algorithm development and sensor characterization in the laboratory. Work on new algorithmswas initiated to optimize wavelength selection for vapor and aerosol detection, a detailed design for obtaining sensor detection statistics in th ...

    STTR Phase I 2003 Department of DefenseArmy
  5. Field-Enhanced Carbon Monoxide Tolerance of Polymer Electrolyte Membrane (PEM) Fuel Cells

    SBC: FuelCell Energy, Inc.            Topic: N/A

    To be commercially competitive, PEM fuel cells have to be able to run on readily available fuels. Fuel reformers are practical, but fuel cell anode catalysts are severely poisoned by small quantities of carbon monoxide from the reformer. Despite mucheffort invested into increasing CO tolerance, desired performance levels have not been achieved.Our Phase I data has demonstrated excellent CO-toler ...

    STTR Phase I 2003 Department of DefenseArmy
  6. Using Evolving Curves to Track Dynamic Boundaries

    SBC: Intelligent Automation, Inc.            Topic: N/A

    The key innovation proposed in this STTR effort by Intelligent Automation, Inc. and Duke University is a hybrid level set based algorithm to achieve dynamic perimeter surveillance within a region by constructing an evolving function based on the perceiveddensity of a phenomenon. Drawing on state-of-the-art image processing methodologies, the hybrid solution offers the flexibilities of an Eulerian ...

    STTR Phase I 2003 Department of DefenseArmy
  7. Color-Based PolyOxoMetalate Cellulosic Detector Strips for Chemical Warfare Agents

    SBC: Materials Technologies Corporation            Topic: N/A

    Polyoxometalate (POM) and/or coinage-metal complexes that exhibit dramatic color changes on reaction with chemical warfare agents (CWAs) will be incorporated into cellulose matrices (paper and cotton) by robust electrostatic and covalent bonds to preparelightweight, easy-to-use, color-indicating CWA-detecting tear strips. These strips are expected to show very high sensitivity to CWAs, and thus b ...

    STTR Phase I 2003 Department of DefenseArmy
  8. Short-Range High Data Rate Mobile Wireless Communications System

    SBC: MAYFLOWER COMMUNICATIONS COMPANY, INC.            Topic: N/A

    Mayflower Communications Company, Inc.'s (Mayflower) Phase I proposal is responsive to the Army STTR Program objective to develop and demonstrate high data rate, short distance mobile wireless communications system which would allow the transfer of 100'sof Mbps in a range of 50-100 feet from mobile base stations to combat vehicles and dismounted soldiers. Mayflower's proposed Mobile Data Communic ...

    STTR Phase I 2003 Department of DefenseArmy
  9. Mitochondrial Functional Proteomics

    SBC: Medergy, Inc.            Topic: N/A

    Mitochondria are intracellular organelles that regulate a number of vital processes in eukaryotic cells. They are not only the primary sites of energy production but are also the primary source of the harmful reactive Oxygen Species that cause oxidativedamage to the cell. In addition they regulate the critical process of programmed cell death (apoptosis). Thus proper mitochondrial function is crit ...

    STTR Phase I 2003 Department of DefenseArmy
  10. New SVM Hierarchical Classifier Fusion

    SBC: Migma Systems Inc.            Topic: N/A

    This proposal is aimed at the investigation, development and implementation of a hierarchical multi-class target classification system suitable for dynamically changing conditions in the battle field. New support vector representation and discriminationmachine (SVRDM) classifiers are proposed. Each classifier is a separate classifier that distinguishes one class from all of the rest. This architec ...

    STTR Phase I 2003 Department of DefenseArmy
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