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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 Long Durability and High Power SOFC Stack for Portable Power Sources

    SBC: STORAGENERGY TECHNOLOGIES INC            Topic: A21CT011

    This Small Business Technology Transfer (STTR) project aims to leverage the recent advancement of solid oxide fuel cell (SOFC) to enable a compact and portable fuel cell system with a system-level volumetric power density of 3000W/L, which can serve as the lightweight power source for US Army. Storagenergy Technologies, Inc. (Storagenergy) proposes a compact SOFC system for portable power source ...

    STTR Phase I 2022 Department of DefenseArmy
  2. Software for Parallelized Analyses and Rapid Optimization (SPARRO)

    SBC: NEXTGEN AERONAUTICS, INC.            Topic: A22BT008

    The basic idea of a morphing aircraft wherein the vehicle changes its configuration to optimally perform in multiple flight segments holds the promise of achieving unprecedented levels of efficiency.  Morphing is most promising for small UAVs and taking inspiration from birds, we can exploit large shape changes, rapid inertia changes, articulation etc., to fly in congested urban and indoor spaces ...

    STTR Phase I 2022 Department of DefenseArmy
  3. Millimeter-wave MIMO Counter-UAV Detection, Classification and Tracking Radar

    SBC: Arete Associates            Topic: A21CT009

    Areté and UCSD propose to use radar simulations and performance modeling to investigate the benefits and disadvantages of three potential MIMO Millimeter Wave (MMW), phased array configurations and to design a prototype for counter-UAS to detect, classify and track small targets out to 0.5-1.0 km range. Keys to success operational capability include sufficient SNR, sufficient angular resolution, ...

    STTR Phase I 2022 Department of DefenseArmy
  4. Machine-Learning Based Sensing and Waveform Adaptation for SDRs Operating in Congested and Contested Environment

    SBC: Space Micro Inc.            Topic: A19CT005

    Unprecedented growth in demand of wireless devices has caused overcrowding of the spectrum. Modern Software Defined Radios (SDRs) have to provide satisfactory services while transmitting/receiving in congested and contested environment. In order to do that, complex learning algorithms have to be paired with capable, flexible and wideband hardware.Space Micro and its partner research institution, t ...

    STTR Phase I 2020 Department of DefenseArmy
  5. Physical Monitoring Techniques to Improve Warfighter Performance

    SBC: SONALYSTS INC            Topic: A20BT008

    In the field, warfighters are exposed to a complex set of stressors. Increasingly heavier combat loads, extreme environmental conditions, and improper nutrition are a few examples. Unfortunately, the effects on their physical and cognitive performance are not well understood, which can negatively affect the decision-making processes causing tactical errors leading to operational or strategic conse ...

    STTR Phase I 2021 Department of DefenseArmy
  6. Millimeter-wave MIMO Radar for UAS Tracking

    SBC: TOYON RESEARCH CORPORATION            Topic: A21CT009

    Small unmanned aerial systems (sUASs) are quickly emerging as low-cost attritable aerial platforms for hostile reconnaissance, targeting, weapon delivery, and other purposes. Unlike legacy air targets, small unmanned aerial systems fly at low altitude, are easily masked by terrain features, often fly at relatively low velocities that render many forms of Doppler and time/frequency radar exploitati ...

    STTR Phase I 2022 Department of DefenseArmy
  7. Verification, Validation, Assurance, and Trust of Machine Learning Models and Data

    SBC: OPTIMIZATION TECHNOLOGIES, INC.            Topic: A22BT002

    As the use of machine learning (ML) models proliferates in commercial and defense applications, the United States Army (Army) faces significant challenges in evaluating the effectiveness, robustness, and safety of these ML models in armament systems. For the Combat Capabilities Development Command (CCDC) Armaments Center, the decision to enable automated choices in these systems, which encompass l ...

    STTR Phase I 2022 Department of DefenseArmy
  8. Dilute Waveguide SOAs for high power and low noise applications

    SBC: ULTRA-LOW LOSS TECHNOLOGIES LLC            Topic: A21CT008

    Low noise optical amplifiers with watt-class optical power are a critical component for a variety of applications such as free space optical communications, light detection and ranging (LIDAR), high-performance microwave photonics (MWP) and so on. Traditionally, such applications have utilized erbium doped fiber amplifiers (EDFAs). Although capable of generating high powers and the required low-no ...

    STTR Phase I 2022 Department of DefenseArmy
  9. Wideband RF Radomes Compatible with Conformal Antennas and Gun-Launched Hypersonic Environments

    SBC: FIRST RF CORPORATION            Topic: A21CT002

    Recent advancements in artillery, muzzle velocity, and post-launch propulsion technology have enabled gun-launched projectiles to travel faster and at longer ranges than ever before. To be most effective in flight and at range, the projectiles must incorporate RF sensors to enable advanced, mission-critical functionality. The RF sensors must also be able to survive and operate through extreme gun- ...

    STTR Phase I 2022 Department of DefenseArmy
  10. Development of Vat Polymerization Materials for Additive Manufacturing of Gun Propellant

    SBC: NALAS ENGINEERING SERVICES INC            Topic: A21CT003

    The US Army and Department of Defense are continuing in their investment in the development of energetic materials for use in additive manufacturing (AM) for propellants.  Nalas Engineering is partnering with Dr. Lori Groven at the South Dakota School of Mines and Technology to develop innovative liquid resin systems for use in additive manufacturing, specifically UV light-based curing technol ...

    STTR Phase I 2022 Department of DefenseArmy
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