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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. The Energy and Cost-efficient E-waste Recovery Project for Rare-earths and Precious Metals

    SBC: Quantum Ventura, Inc.            Topic: 07d

    Idaho National Laboratory (INL), under funding from the Critical Materials Institute(CMI), has developed a US patented technology to reclaim valuable metals from waste electronic equipment. The Electrochemical Recycling Electronic Constituents of Value (E-RECOV) method uses an electrochemical cell to efficiently recover the bulk of metals from discarded electronics, leading to more complete recycl ...

    STTR Phase II 2020 Department of Energy
  2. Quench Detection Method for Large Superconducting Magnets using Robust MEMS Acoustic Sensor Arrays

    SBC: Tanner Research, Inc.            Topic: 23c

    High Temperature Superconducting (HTS) materials have excellent mechanical and electrical properties that are attractive for various applications such as power cables and high field, high current superconducting magnets, particularly playing a key role in the commercialization of fusion energy machines. However, HTS materials have very slow normal zone propagation velocities (NZPV) (2-3 orders of ...

    STTR Phase II 2020 Department of Energy
  3. Recovery of Glass Fiber Reinforcement from Retired Wind Turbine Blades for Recycled Composite Materials

    SBC: Carbon Rivers LLC            Topic: 15c

    By 2050 43,400,000 metric tons of cumulative wind turbine blade waste is expected to exist and continue growing at 2,000,000 metric tons/year globally. Even in the near term, wind turbine blade waste generation is expected to approach 1,000,000 metric tons/year by 2029. In short, the amount of wind turbine blade waste needing disposal is growing rapidly while the status quo option of landfilling, ...

    STTR Phase II 2020 Department of Energy
  4. Compact, High-Efficiency Air Handling Unit (CHE-AHU) for Residential HVAC Systems

    SBC: UPSTATE PARTS & SUPPLY INC            Topic: 09a

    The proposed research and development project addresses the need to improve the energy efficiency of heating, ventilation, and air conditioning (HVAC) systems in residential buildings throughout the US. The project uses an innovative holistic approach to redesign key components of the air handling unit (AHU) in forced-air HVAC systems that are installed in at least 84 million residences, including ...

    STTR Phase II 2020 Department of Energy
  5. Novel Circulating RNA-based Markers as Diagnostic Biomarkers of Infectious Diseases

    SBC: CFD Research Corporation            Topic: CBD18A001

    In resource limited settings, rapid and accurate diagnosis of infections is critical for managing potential exposures to highly virulent pathogens, whether occurring from an act of bioterrorism or a natural event. This is especially important for hard to detect intracellular bacterial and alphavirus infections, that overlap symptomatically and often treated empirically due to a lack of reliable an ...

    STTR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense
  6. Marburg Virus Prophylactic Medical Countermeasure

    SBC: MAPP BIOPHARMACEUTICAL, INC.            Topic: CBD18A002

    There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terrible morbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditional vaccines have contributed greatly to public health, they have some limitations especially in the context of operati ...

    STTR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense
  7. Development of Wakefield Accelerating Structures at Ultra-high Frequencies

    SBC: Radiabeam Technologies, LLC            Topic: 30c

    The development of a multi-TeV e+e- linear collider is a key priority set by the P5 panel, which established the long-term strategy of the U.S. HEP program. A Two-Beam Acceleration (TBA) is one of the most promising approaches for this facility due to its potential for achieving high efficiency and the ability to accelerate particles with positive and negative charges. However, there are still cha ...

    STTR Phase I 2020 Department of Energy
  8. An Advanced Simulation based 3D Framework and Toolkit for Fire Protection and Fire PRA

    SBC: CENTROID PIC INC            Topic: 37i

    At 10.8% Compound annual growth rate(CAGR), Fire Protection Systems Market Size is expected to reach 9.34 Bn USD by 2025. This however reflects only the systems but does not include the services, consultancy and other operator expenses incurred by the industry sectors impacted. Modeling and implementing fire safety for nuclear power plants is an expensive and complex activity. It is difficult to c ...

    STTR Phase I 2020 Department of Energy
  9. Conductive Carbons by Design: Electrochemically Tailored Carbon Nanotube Conductive Additives for High Rate Battery Electrodes

    SBC: SKYNANO LLC            Topic: 12a

    With the electrification of transportation, the increased number of portable and connected devices, and the modernization of our grid to include energy storage coupled with renewable energy sources, increased demands of power, energy, lifetime, cost, and safety performance metrics for electrochemical energy storage are at an all-time high. Specifically of interest to the US DOE Vehicle Technologie ...

    STTR Phase I 2020 Department of Energy
  10. Value of Information and Data Management Platform Promoting Modern Data Analysis Utilization

    SBC: INFISYS, INC.            Topic: 13b

    The immense growth in weather and river sensor data availability along with increases in computational power and algorithmic sophistication have enabled the widespread application of physical, machine learning, and artificial intelligence algorithms to river forecasting. The forecasts produced by widely varying model approaches are inherently limited in different ways, such as by the number and qu ...

    STTR Phase I 2020 Department of Energy
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