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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Multi Junction Solar cells for Satellite

    SBC: CFD RESEARCH CORPORATION            Topic: MDA09T005

    Higher efficiency solar cells are needed to reduce mass, volume, and cost of DoD space missions. However, to achieve higher efficiency and radiation hardness of the best to date multi-junction photovoltaic (PV) devices, several challenges must be addressed. This project aims to develop: 1) Quantum Well (QW)-based multi-junction cell that exhibits enhanced efficiency, and 2) Radiation-hardened PV c ...

    STTR Phase I 2010 Department of DefenseMissile Defense Agency
  2. Multi-Photon Solar Cell

    SBC: Photonic Glass Corporation            Topic: AF09BT20

    This proposal addresses the attainment of conversion efficiency exceeding 35% in a single-junction solar cell. Non-absorption of long wavelength photons and thermallization of short wavelength photons accounts for the loss of over half of the incident energy in a single junction cell; however, a large fraction of this energy could be captured if the spectrum is first modified by an efficient phot ...

    STTR Phase I 2010 Department of DefenseAir Force
  3. Multiphysics Modeling of Dynamic Combustion Processes Using Pareto-Efficient Combustion Framework

    SBC: STREAMLINE NUMERICS INC            Topic: AF18BT010

    The objective is to develop zonal multi-physics capability for turbulent combustion simulations. The foundation of the proposed work is a novel Pareto-Efficient Combustion (PEC) framework for fidelity-adaptive combustion modeling. The PEC model utilizes a combustion submodel assignment, combining the low-cost flamelet-based models with the more expensive finite rate chemistry models where necessar ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Multi-scale modeling of corrosion fatigue damage using peridynamics theory

    SBC: CFD RESEARCH CORPORATION            Topic: N13AT007

    The overall objective of this effort is to identify, and validate a suitable methodology and the associated multi-scale computational technique for predictive assessment of corrosion fatigue damage in Naval aircraft. Annual costs for corrosion inspection and repair of military aircraft are estimated to exceed $1B. Predictive modeling of corrosion fatigue damage is challenging since it has to captu ...

    STTR Phase I 2013 Department of DefenseNavy
  5. Multi Scale Multi Fidelity Carbon-Carbon Manufacturing Process Modeling with Data Fusion

    SBC: CFD RESEARCH CORPORATION            Topic: AF19AT021

    The proposed effort aims to deliver a novel process model for carbon-carbon manufacturing to determine thermo-mechanical properties of these materials and their components, thereby enabling a faster cycle for material development for hypersonic platforms. The proposed solution consists of (1) requirement and functionality analyses, (2) a six-level model representing the key steps of the manufactur ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Multisensory Interactive Data Analysis System (MIDAS)

    SBC: TRITON SYSTEMS, INC.            Topic: MDA18T001

    The Triton Multisensory Interactive Data Analysis System (MIDAS) is an innovative method to present, manipulate, and analyze large multi-dimensional data sets to revolutionize the systems analysis of modeling & simulation and test data. MIDAS includes cutting-edge methods, techniques and tools in the manipulation, analysis, and presentation of extremely large multi-dimensional data sets to assist ...

    STTR Phase I 2019 Department of DefenseMissile Defense Agency
  7. Narrowband microbolometer arrays for infrared chemical sensing

    SBC: ITN ENERGY SYSTEMS, INC.            Topic: A10AT023

    This Small Business Technology Transfer Research program will develop narrow band plasmonic resonant cavity filters with integrated microbolometer sensors operating in the long wave infrared (LWIR) atmospheric transmission band for IR absorption measurements of low concentration chemicals. IR spectroscopy can identify a wide range of contaminants, including chemical/biological warfare agents, exp ...

    STTR Phase I 2010 Department of DefenseArmy
  8. Narrowband Microbolometer Infrared Detectors for Chemical and Biological Sensing

    SBC: Infoscitex Corporation            Topic: A10AT023

    A narrow-band microbolometric detector is proposed to the address need for a low-cost, portable system to perform chemical and biological threat detection. An approach is shown to achieve a narrow-band bolometric detector whose response can be tailored to both a desired peak wavelength and bandwidth. The approach will enable the design of an array of detectors meeting the requirements for chemical ...

    STTR Phase I 2010 Department of DefenseArmy
  9. Naturalistic Neurocognitive Assessment Using Mobile Gaming Platforms

    SBC: Vista Partners LLC            Topic: A12aT029

    The neurocognitive health of U.S. service members plays a vital role in the defense of the United States. It is critical to a service member"s effectiveness, to force readiness, and it is a key component of a service member"s successful reintegration into family life and society following deployment. Increased rates of mild traumatic brain injury (mTBI) and psychological health problems experien ...

    STTR Phase I 2013 Department of DefenseArmy
  10. New learning technologies for exploitation of layered sensor data

    SBC: LONGSHORTWAY INC.            Topic: AF12BT14

    ABSTRACT: LongShortWay, Boston University, and Applied Communication Sciences propose developing machine learning technologies that utilize combination of low and high resolution sensors for wide area situational awareness BENEFIT: high confidence detection of activities in a larger area of interest

    STTR Phase I 2013 Department of DefenseAir Force
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