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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. Multi-Physics Models for Parachute Deployment and Braking

    SBC: CMSOFT, INC.            Topic: AF18AT004

    The main objective of this STTR Phase I effort is two-fold. First, to develop a robust approach for coupling the flow solver Kestrel with the multidisciplinary software tool AERO Suite in order to enable the physics-based modeling and simulation of the dynamics of Aerodynamics Decelerator Systems (ADS) such as parachutes from deployment to terminal velocity or terminal descent and touchdown, and t ...

    STTR Phase I 2018 Department of DefenseAir Force
  2. Closed-Loop Feedback Control for Transcranial Direct Current Stimulation

    SBC: QUANTUM APPLIED SCIENCE & RESEARCH INC            Topic: AF17BT002

    Because of rising demand for human analysts and more efficient processing of increasingly large and challenging amounts of intelligence, human limitations on mental workload, cognitive fatigue, and attentionor task engagement, need to be accurately monitored in real-time in order to provide sensitive detection of impaired cognitive states. It is a challenge to continuously monitor these cognitive ...

    STTR Phase I 2018 Department of DefenseAir Force
  3. Directional Cross-Layer Networking Solution

    SBC: FUSE INTEGRATION, INC.            Topic: AF17BT003

    Currently networks are not taking advantage of the inherent benefits of high multi-beam directional networking. For example, the current MADL implementation simply daisy chains the nodes in the network creating multiple single points of network failure (of course retaining self-healing properties.) The Fuse Directional Cross-Layer Networking Solution (DCLNS) optimized architecture features a robus ...

    STTR Phase I 2018 Department of DefenseAir Force
  4. Closed-Loop Extracranial Activation using Reinforcement-learning (CLEAR)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: AF17BT002

    Increased workloads and operational pressures can degrade human analysts cognitive performance, jeopardizing their ability to safely and effectively carry out mission-critical tasks. To avoid overload and maximize the potential of human operators, a method for conducting real-time evaluation of cognitive state, combined with means to dynamically enhance performance, is required. Novel technologies ...

    STTR Phase I 2018 Department of DefenseAir Force
  5. AFFF Disposal

    SBC: Liquid Carbonic L.L.C.            Topic: AF17BT001

    Aqueous Film Forming Foam (AFFF) is the water-based firefighting agent of choice in military and civilian applications.No satisfactory disposal method has been identified.Liquid Carbonic proposes a treatment for AFFF that will also work for other polyfluorinated chemicals (PFCs) and their derivatives.The strength of the C-F bond is the ultimate problem in disposing of PFCs and residues.The very se ...

    STTR Phase I 2018 Department of DefenseAir Force
  6. Sun-Tracking Millimeter Wave Radiometer

    SBC: PROSENSING INC.            Topic: AF17CT01

    This Phase I STTR proposal describes the development of a dual frequency millimeter-wave sun tracking radiometer designed to measure total atmospheric attenuation from ground level to the top of the atmosphere.The suns brightness temperature, which is on the order of 10,000K at millimeter-wavelengths, provides an ideal background reference allowing high dynamic range estimation of total atmospheri ...

    STTR Phase I 2018 Department of DefenseAir Force
  7. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  8. Complex Networks for Computational Urban Resilience (CONCUR)

    SBC: Perceptronics Solutions, Inc.            Topic: ST17C003

    CONCUR develops a computational framework for assessing and characterizing urban environments stability or fragility in response to volatility and stress, identifying specific weaknesses as well as key tipping points which could lead to rapid systemic failure. CONCUR explicitly models urban environments as emergent complex systems, focusing attention on the critical triggers that could lead to rap ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  9. Diamond Cathode Coating for Spacecraft Charge Mitigation

    SBC: PHYSICAL SCIENCES INC.            Topic: AF18AT011

    Physical Sciences Inc. (PSI) proposes the development of a composite laminate cathode coating based largely on consumer off the shelf (COTS) industrial materials functionalized to possess a low work function, negative electron affinity surface. The cathode coating is applicable to any surface of a spacecraft, regardless of shape or material, and allows passive one wire operation for spacecraft cha ...

    STTR Phase I 2018 Department of DefenseAir Force
  10. Orientation-patterned Semiconductor Crystals with Low Insertion Loss and High Resistance to Laser Damage

    SBC: PHYSICAL SCIENCES INC.            Topic: AF18AT016

    The Air Force needs tunable laser systems with high average power in the mid-infrared region of the spectrum for military applications including defense against heat-seeking missiles.Currently-fieldedlaser systems, based on nonlinear frequency conversion in periodically poled lithium niobate (PPLN), have limited optical power at wavelengths between 4 m and 5 m because of intrinsic absorption in th ...

    STTR Phase I 2018 Department of DefenseAir Force
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