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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. The Training, Education, and Apprenticeship Program Outcomes Toolkit (TEAPOT)

    SBC: IMPACT LAB, LLC, THE            Topic: 91990019R0016

    Researchers will conduct a pilot study with a socio-economically and diverse sample of at least 500 high school students who will test the prototype ROI tool. The researchers will examine the feasibility and usability of the prototype, whether ROI information increases search and discovery for educational opportunities; whether having ROI information increases the likelihood of click-through rates ...

    SBIR Phase I 2019 Department of EducationInstitute of Education Sciences
  2. Hybrid Anode for Electrified Aircraft Propulsion

    SBC: CORNERSTONE RESEARCH GROUP INC            Topic: T15

    Electrified Aircraft Propulsion (EAP) research is part of NASA effort to improve aircraft fuel efficiency, emissions, and noise levels. New secondary battery chemistries are required to meet the 500 ndash; 700 Wh/kg cell level specific energy needs of UAM, all-electric helicopters and regional passenger aircraft. The cycle life, currently at asymp; 1500 ndash; 3000 cycles, also needs substantial i ...

    STTR Phase I 2019 National Aeronautics and Space Administration
  3. Concurrent High-Fidelity Measurements and Simulations for Advancing the Design of Rotating Detonation Engines

    SBC: SPECTRAL ENERGIES LLC            Topic: T2

    Rotating Detonation Engine (RDE) design is challenging due to the lack of in-depth understanding of many key mixing and combustion processes. The RDE flow field is a nonuniform mixture of fuel and oxidizer concentrations with strong injector effects, large turbulence effects, multiple shockwaves, and shear layers. These inhomogeneities can lead to significant combustion inefficiencies which have a ...

    STTR Phase I 2019 National Aeronautics and Space Administration
  4. In-Situ Application of Multi-Layer Thermal Protection System

    SBC: CORNERSTONE RESEARCH GROUP INC            Topic: T12

    Cornerstone Research Group Inc. (CRG) proposes to advance the state-of-the-art in space vehicle Thermal Protection Systems (TPS) through in-situ application and curing of a proprietary new resin technology called MG Resin, a family of thermoset formulations. The resins are being explored with DARPA, MDA, NASA, and the Army for a range of applications including C/C hot structures, TPS, syntactic in ...

    STTR Phase I 2019 National Aeronautics and Space Administration
  5. Advanced Flow Control System for In-Space Electric Propulsion

    SBC: CU AEROSPACE L.L.C.            Topic: T2

    CU Aerospace (CUA) and the University of Michigan (UM) propose the development of the Cycle Automated Mass Flow (CAMFlow) system for reliable and well-regulated flow control. CAMFlow uses an innovative control scheme that enables stable operation using only Boolean valve states, even for the low flow rates necessary for sub-kilowatt Hall effect thrusters. This methodology removes system complexity ...

    STTR Phase I 2019 National Aeronautics and Space Administration
  6. Probabilistic/Reliability Software Tool for Ceramic Matrix Composite/Environmental Barrier Coating Interface Modeling

    SBC: N&R ENGNERING MGT SUPPORT SVCS            Topic: A1

    One potential way to achieve N+3 goals is the introduction of ceramic matrix composite (CMC) materials into turbine engines. The introduction of CMC vanes and/or blades into turbine engines lead to gains in specific fuel consumption (SFC) by allowing higher operating temperatures, reductions in required cooling, and reductions in vehicle weight. Thermal barrier and environmental barrier coatings ( ...

    SBIR Phase I 2019 National Aeronautics and Space Administration
  7. CubeSail-D: A Module for Accelerated Spacecraft Deorbiting

    SBC: CU AEROSPACE L.L.C.            Topic: Z8

    The team of CU Aerospace (CUA) and the University of Illinois at Urbana-Champaign (UIUC) proposenbsp;risk reduction design and analyses of a modular spacecraft addition based on our teamrsquo;s CubeSail technology for accelerated spacecraft deorbiting.nbsp;nbsp;This technology represents a high-payoff technology using primarily atmospheric drag, but with the additional option for solar sail deorbi ...

    SBIR Phase I 2019 National Aeronautics and Space Administration
  8. Data Fusion for Anomaly and Degradation Detection

    SBC: CALHOUN ANALYTICS, LLC            Topic: A3

    Sources of sensor errornbsp;leave a UTMnbsp;(UAS Traffic Management)nbsp;system vulnerable.nbsp;Thenbsp;impact of anomalous sensor behavior can be devastating to a UTM system. Degraded sensor accuracy can lead to broken tracksnbsp;ornbsp;split tracks within a UTM system.nbsp;Degraded sensor sensitivity may result in a Mid-Air Collision with an aircraft not detected bynbsp;UTMnbsp;sensors.nbsp;It m ...

    SBIR Phase I 2019 National Aeronautics and Space Administration
  9. Novel Methodology for the Rapid Acoustic Optimization of Supersonic Multi-Stream 3D Nozzles

    SBC: SPECTRAL ENERGIES LLC            Topic: A1

    Current noise prediction methods are ill-suited for the design of future nozzle geometries as they are either too computationally expensive or do not contain the necessary physics to adequately predict noise from desired nozzle types. As such, there is a need for innovative technologies and methods for noise prediction to enable acoustic optimization of multi-stream, 3D nozzles to meet the noise g ...

    SBIR Phase II 2019 National Aeronautics and Space Administration
  10. Energy Efficient High-Throughput Neuromorphic Processor for Deep Reinforcement Learning

    SBC: PRIXARC LLC            Topic: H6

    In space environments, particularly for low powered satellites (such as cubesats), onboard neural processing has many applications. One of the key neural algorithms that would be highly useful is reinforcement learning for cognitive communications in software-defined radios. In reinforcement learning a policy function is used for determining action and needs to be updated based on environmental in ...

    SBIR Phase I 2019 National Aeronautics and Space Administration
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