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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. A Capability for Measuring Attenuation and Backscatter of Experimental Microwave Aerosols

    SBC: IERUS TECHNOLOGIES INC            Topic: A20BT016

    Obscurant technologies continue to be of high value to today’s Warfighter, what has evolved from smoke released from a canister are now high precision manufactured structures designed for individual targeted use cases. While the technology to model, design, and manufacture these items has increased, testing methodologies and apparatus have largely been restricted to large scale events. What is n ...

    STTR Phase I 2021 Department of DefenseArmy
  2. Accelerated Burn-In Process for High Power Quantum Cascade Lasers to Reduce Total Cost of Ownership

    SBC: IRGLARE LLC            Topic: N20BT029

    The development of a burn-in process for high power MWIR and LWIR Quantum Cascade Lasers (QCLs) is proposed. The new burn-in process will be rooted in extensive statistical experimental data to be collected in Phase I and Phase II of this program. This will allow us to extract all the critical empirical parameters required for mean-time-to-failure (MTTF) projections for high power MWIR and LWIR de ...

    STTR Phase I 2021 Department of DefenseNavy
  3. Accurate Space Object Prediction via Improved Atmospheric Drag Model

    SBC: KAYHAN SPACE CORP            Topic: AF20CTCSO1

    Atmospheric drag is the biggest source of error and the least predictable perturbing force acting on spacecraft and space debris objects in orbit around Earth. The U.S. Air Force uses the High accuracy satellite drag model (HASDM) to predict the atmospheric drag effects. Kayhan Space in collaboration with the University of Colorado Boulder seeks to improve the HASDM by decoupling and simultaneousl ...

    STTR Phase I 2021 Department of DefenseAir Force
  4. Accurate Space Object Prediction via Improved HASDM Input Parameter Calibration

    SBC: KAYHAN SPACE CORP            Topic: AF20CTCSO1

    Atmospheric drag is the biggest source of error and the least predictable perturbing force acting on spacecraft and space debris objects in orbit around Earth. The U.S. Air Force uses the High accuracy satellite drag model (HASDM) to predict the atmospheric drag effects. Kayhan Space in collaboration with the University of Colorado Boulder and Space Environment Technologies seeks to improve the HA ...

    STTR Phase II 2021 Department of DefenseAir Force
  5. Adaptive Integrated Multi-Modal Sensing Array

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: AF08BT02

    Nanoscale infrared detectors are emerging as a potentially powerful alternative to traditional infrared detector technologies. The University of New Mexico has developed dots in a double well (DDWELL) quantum dot infrared photodetectors which have a spectral responsivity that can be tuned by controlling the bias voltage applied. In this Phase II effort, Polaris Sensor and UNM would fabricate a g ...

    STTR Phase II 2010 Department of DefenseAir Force
  6. Additive Manufacture of Inorganic Freeform Gradient-Index Optics

    SBC: VOXTEL, INC.            Topic: N19BT028

    To address the U.S. Navy need for smaller lighter weight optics in manned and unmanned aircraft, and to speed up optic procurement, in this program, inorganic freeform gradient-index (GRIN) optics are being developed that are operational in the visible and thermal infrared spectral ranges. These optics are fabricated using inkjet-deposition-based additive-manufacturing to integrate nanocomposite f ...

    STTR Phase II 2021 Department of DefenseNavy
  7. Additive Manufacturing of Carbon Nanotube Hybrid Aluminum Metal Matrix Composites

    SBC: SHEPRA, INC.            Topic: AFX20DTCSO1

    Creation of a  second generation of carbon nanotube aluminum metal matrix composite powder for use in powder based manufacturing processes such as Additive Manufacturing, die casting and metal injection molding.  The product is  a blended carbon nanotube and metal powder and works through the transfer (bonding) of electrons between the carbon nanotubes (SP2 hybridized) and valence electrons of ...

    STTR Phase I 2021 Department of DefenseAir Force
  8. Additive Manufacturing of Multifunctional Nanocomposites

    SBC: Sciperio, Inc.            Topic: A13AT010

    Sciperio with team members Georgia Institute of Technology and Centecorp have teamed up to develop an Additive Manufacturing Composite using nano and micro fillers. The team will develop multi-scale models that are supported by experimental characterization for advanced 3D Printable materials. Inelastic response of high strength hierarchical structures composed of engineered materials and specif ...

    STTR Phase I 2013 Department of DefenseArmy
  9. Additive Manufacturing of 17-4 PH Stainless Steel Metal Matrix Composites using Nickel functionalized Carbon Nanotubes

    SBC: SHEPRA, INC.            Topic: N16AT007

    Additive Manufacturing (AM) has a potential to significantly reduce the cost and lead time associated with the maintenance and sustainment issues faced by the US Navy. However, current materials such as 17-4 PH Stainless Steel typically achieve half the required mechanical properties when additively manufactured, thus limiting the use of AM in critical parts. Recent advancements in carbon nanotube ...

    STTR Phase I 2016 Department of DefenseNavy
  10. Advanced Data Association Algorithms to Address Emerging Threats

    SBC: ARCHARITHMS INC            Topic: MDA19T001

    The proposed approach provides innovative sensor data association algorithms capable of performing correct data association in multi-target tracking environments with one or more sensors. Improved detection/track association is an enabling technology for enhancing tracking and object identification. Data association is a critical precursor to the track filtering process. The data association proce ...

    STTR Phase II 2021 Department of DefenseMissile Defense Agency
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