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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. New Paradigms in High Pressure Combustion Dynamics Prediction and Control

    SBC: METACOMP TECHNOLOGIES INC            Topic: AF12BT15

    ABSTRACT: The proposed work aims to build a physics-based rapid turnaround simulation capability for resolving combustion dynamics in liquid rocket engines operating at trans-critical and supercritical flow regimes. The methodology will explore both Reduced-Order Methods and Reduced-Basis Methods as potential candidates for efficient unsteady flow simulation, data storage and retrieval, and data ...

    STTR Phase I 2013 Department of DefenseAir Force
  2. Additive Manufacturing of Multifunctional Nanocomposites

    SBC: Sciperio, Inc.            Topic: A13AT010

    Sciperio with team members Georgia Institute of Technology and Centecorp have teamed up to develop an Additive Manufacturing Composite using nano and micro fillers. The team will develop multi-scale models that are supported by experimental characterization for advanced 3D Printable materials. Inelastic response of high strength hierarchical structures composed of engineered materials and specif ...

    STTR Phase I 2013 Department of DefenseArmy
  3. Innovations in Physical Modeling and Statistical Exploitation of Electromagnetic Target Signatures

    SBC: Five Focal LLC            Topic: AF12BT06

    ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...

    STTR Phase I 2013 Department of DefenseAir Force
  4. Intra-Subaperture Adaptive Optical (ISAO) System

    SBC: NUTRONICS, INC.            Topic: AF12BT13

    ABSTRACT: Current and projected limitations on the maximum power from a high power single mode fiber laser amplifier impose architectural limitations on a high power phased array laser weapon system. Prior studies strongly indicate that when faced with this limitation the optimal approach is (to borrow the term for Paul McManamon) a Phased Array of Phased Arrays (PAPA) geometry wherein large(r) ...

    STTR Phase I 2013 Department of DefenseAir Force
  5. Mobile Health Application for Family and Behavioral Health Provider Communication

    SBC: INFERLINK CORPORATION            Topic: A13AT018

    Clinical monitoring of mental health status has not evolved much from the routine meeting between patient and clinician, which suffers from a lack of quantification, irregular and anecdotal reporting, and does not necessarily include input from caregivers. This is unfortunate given today's technology, where people routinely volunteer to track their own health related behavior, such as exerc ...

    STTR Phase I 2013 Department of DefenseArmy
  6. Low Level Signal Detection for Passive Electro-Optical Space-based Surveillance

    SBC: TOYON RESEARCH CORPORATION            Topic: AF12BT02

    ABSTRACT: Toyon Research Corporation and the University of California, Santa Barbara (UCSB) are proposing development and feasibility demonstration of advanced algorithms for the detection of vibration signatures in scattered light. The algorithms are being developed for applications including space-based electro-optical (EO)/infrared (IR) sensing at high frame rates and extremely low signal-to-n ...

    STTR Phase I 2013 Department of DefenseAir Force
  7. Biologically-inspired Integrated Vision System

    SBC: SPECTRAL IMAGING LABORATORY            Topic: AF12BT03

    ABSTRACT: The U.S. Air Force has a need to develop a new class of advanced, wide field of view (WFOV) imaging sensors that sample the radiation field in multiple modes: spectral, temporal, polarization, and detailed object shape. These multimodal sensors are to be deployed on high altitude drones to enhance their intelligence, surveillance, and reconnaissance (ISR) capabilities. Smaller versio ...

    STTR Phase I 2013 Department of DefenseAir Force
  8. Near Real-Time Quantification of Stochastic Model Parameters

    SBC: APPLIED MATHEMATICS, INC.            Topic: A13AT009

    Mathematical models of physical and biological systems contain parameters that need to be estimated from measured data. Models with parameters distributed probabilistically require the estimates of a probability measure over the set of admissible parameters. We propose to use frequentist-based approaches for non-parametrically estimating probability measures that describe the distribution of par ...

    STTR Phase I 2013 Department of DefenseArmy
  9. Soft and Elastomeric Intramuscular Electrode with Therapeutic Delivery Capability

    SBC: TDA RESEARCH, INC.            Topic: A13AT019

    Approximately 5-6% of military injuries involve some form of major peripheral nerve injury with little chance of spontaneous healing. Currently these injuries lead to major impairment of voluntary muscle function in the limbs and extremities, making tasks of walking, reaching, grasping, etc. very difficult or impossible for many patients. It is not enough to focus therapeutic treatment on the se ...

    STTR Phase I 2013 Department of DefenseArmy
  10. A Li-Ion Battery Tool for Predicting Life and Performance for Satellite Orbit Operations Scenarios

    SBC: GLOBAL AEROSPACE CORPORATION            Topic: MDA08T008

    The expected life of satellite Li-Ion batteries is determined by many factors, including thermal considerations, electrode chemistries, orbit and mission life, DOD, and pulse power requirements. First-principles battery model literature pertains primarily to orbital cycling at moderate DOD under isothermal conditions without variable power loads. Knowledge must be extended to encompass wider life ...

    STTR Phase II 2010 Department of DefenseMissile Defense Agency
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