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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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.

  1. 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
  2. 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
  3. 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
  4. 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 II 2020 Department of EnergyARPA-E
  5. 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
  6. 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 II 2020 Department of EnergyARPA-E
  7. High Energy Resolution Mixed-Halide Elpasolite Scintillators for Next Generation RIID

    SBC: CapeSym, Inc            Topic: DTRA18B003

    The ability to discriminate between threatening and benign sources depends on the sensitivity, accuracy, and identification speed of the detection equipment. High energy resolution of the radionuclide sensor is necessary to decrease the likelihood of false identification. However, few scintillators achieve better than 3% energy resolution at 662 keV, and none exceed 2.5%. The goal of this effort i ...

    STTR Phase II 2020 Department of DefenseDefense Threat Reduction Agency
  8. Mixed Elpasolite Scintillators

    SBC: Radiation Monitoring Devices, Inc.            Topic: DTRA18B003

    The goal of this program is to develop the mixed elpasolite scintillators in order to achieve an energy resolution of  (≤ 2.5% (approaching 2%) at 662 keV for crystal sizes of up to 2 inch by 2 inch.  In this project we will investigate compositional changes in selected mixed-elpasolite(s) in order to achieve very high energy resolution.  By incorporating 6Li, neutron detection will also be t ...

    STTR Phase II 2020 Department of DefenseDefense Threat Reduction Agency
  9. 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
  10. Improved Identification of the function of Novel and Partially Occluded Laboratory Equipment.

    SBC: Novateur Research Solutions, LLC            Topic: DTRA19B002

    This STTR Phase 1 project proposes development of a statistical relational learning framework for identification of the function of laboratory equipment from imagery. The proposed framework uses semantic reasoning to incorporate evidence from multiple classifiers and feature extractors, domain knowledge, and scene context for scene understanding and labeling. The Phase I effort will focus on imple ...

    STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency
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