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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. Functional Engineering of a Photosynthetic Desalination Pump Circuit

    SBC: Phytodetectors, Inc.            Topic: G

    Phytodetectors will design and engineer a synthetic biological pump circuit to increase the volume of water produced via photosynthetic desalination. This project builds off previous technology designed by Phytodetectors: a mangrove-inspired ultra-filter that allows plants to purify salt water as well as secrete water with properties comparable to bottled water. The partnership seeks to demonstrat ...

    STTR Phase I 2020 Department of EnergyARPA-E
  2. Enabling Technology- Reducing Greenhouse Gas Emissions and Energy Demands in the Meat Production Industry via Scaling Advanced 3D Culture Bioreactors

    SBC: Cambridge Crops, Inc.            Topic: G

    Food production, and in particular animal-derived meat products, are a major source of green-house gases, compounded by the remarkable inefficiency in biomass conversion (grain to dense muscle tissue in meat), along with growing challenges with food safety, quality and nutrition. To address this growing problem, we propose to exploit the emerging field of cellular agriculture (tissue engineering o ...

    STTR Phase I 2020 Department of EnergyARPA-E
  3. High Power Density Dual Rotor Permanent Magnet Motor with Integrated Cooling and Drive for Aircraft Propulsion

    SBC: Advanced Magnet Lab, Inc.            Topic: 1

    There is a critical need for electrification of transportation systems. The proposed technology enables the development of very high-power density permanent magnet motors, which when coupled to an integrated SiC drive allows for an overall specific power beyond 12 kW/kg. The proposed concept relies on the tight integration of a high-power density dual-rotor permanent magnet motor, high power densi ...

    STTR Phase I 2020 Department of EnergyARPA-E
  4. Flexible Low Temperature CO2 Capture System, E-CACHYS

    SBC: ENVERGEX LLC            Topic: 1

    This project focuses on the design, integration and optimization of a flexible natural gas combined cycle plant with carbon capture, capable of operating in a highly variable renewable energy environment. Renewable energy sources such as wind and solar power offer unique solutions in our quest to reduce global carbon dioxide (CO2) emissions. However, the increasing penetration of these high variab ...

    STTR Phase I 2020 Department of EnergyARPA-E
  5. Neurofeedback Training and Hyperscanning for Mission Readiness and Return-to-Duty via Functional Near-Infrared Spectrometry (fNIRS)

    SBC: SOAR TECHNOLOGY INC            Topic: DHA19B001

    Until now,much of theresearch usingfunctional near-infrared spectroscopy (fNIRS) has focused on tailoringasystem to detect onlyafew cognitivestatesand theapplication of theseapproaches outsidethe laboratory is not well tested. This solution provides severely limited coverage of thespacethat this technology could beapplied to,and is notarealistic path for developing neuroimagingasan operational ass ...

    STTR Phase I 2020 Department of DefenseDefense Health Agency
  6. fORE: fNIRS Operational Readiness Estimation

    SBC: APTIMA INC            Topic: DHA19B001

    Thestate of warfighters (whether theyarefatigued, distracted,and/or stressed)and of theteam (whether theyare workingtogethereffectivelyand cohesively)greatly impact thelikelihood ofmission success. The brain isan excellent source of data with which to assess individualand team states. Unfortunately,current technologiescannot supportcontinuous neural statemonitoring of warfightersacross themany dif ...

    STTR Phase I 2020 Department of DefenseDefense Health Agency
  7. Occlusion Effect-Reducing Ear Plug, With Pass-Through Communication

    SBC: TRITON SYSTEMS, INC.            Topic: DHA19C001

    Triton Systems proposes to develop easy-to-use in-ear hearing protection which will reduce the occlusion effect, provide pass-through communication and nonlinear filtering of loud sounds.

    STTR Phase I 2020 Department of DefenseDefense Health Agency
  8. Multimode Organic Scintillators for Neutron/Gamma Detection

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: DTRA19B003

    There is significant interest in multi-functional materials enabling gamma-ray spectroscopy, neutron/gamma pulse shape discrimination (PSD), ultra-fast response, and time-of-flight (TOF) neutron detection. These materials would be used in a variety of mission scenarios for the localization and monitoring of special nuclear materials. Commercial inorganic scintillators offer some of these character ...

    STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency
  9. Hardened, Optically-Based Temperature Characterization of Detonation Environments

    SBC: IRGLARE LLC            Topic: DTRA19B001

    A novel diagnostic system based on the monolithic quantum cascade laser technology is proposed, enabling probing of points across the entire MIR absorption spectrum of CO for optimal temperature sensitivity across the entire 300 – 3000 K range with MHz time resolution. The proposing team has the capability to design QCL structures that provide strong output over the spectral range of interest in ...

    STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency
  10. Semantic Models for the Identification of Laboratory Equipment (SMILE)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: DTRA19B002

    Military operators must identify and catalogue the equipment they find when inspecting laboratory facilities. This information is used to determine the lab’s capabilities, including the lab’s potential for building weapons of mass destruction. Currently, operators use computer vision algorithms to help them classify equipment in pictures of laboratory environments. Unfortunately, current image ...

    STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency
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