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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. A Biologically Inspired Micro Aerial Vehicle Design and Development

    SBC: Impact Technologies            Topic: AF08T008

    Impact Technologies, in collaboration with the Georgia Institute of Technology, the Rochester Institute of Technology and the Boeing Company, is proposing to complete the development, testing and evaluation of a novel biologically-inspired Micro Air Vehicle (MAV) conceptualized in Phase I and capable of agile and high endurance flight operations in dense and cluttered urban environments. Phase I a ...

    STTR Phase II 2010 Department of DefenseAir Force
  2. ADA Conformable Wearable Battery-Hybrid Electrical Energy Storage System: A Rechargeable, Safe and High Performance Energy Storage Solution

    SBC: ADA TECHNOLOGIES, INC.            Topic: A15AT010

    ADA Technologies, Inc. proposes to transition our previously developed BB-2590 Hybrid Electrical Energy Storage System (HEESS) architecture into a Conformable Wearable Battery format, or CWB-HEESS (Figure 1). We seek to satisfy a meaningful, Army Program Executive Office (PEO) Soldier need for a rechargeable, safe and high energy CWB. We anticipate the CWB-HEESS will have broad U.S. Dept. of Defen ...

    STTR Phase II 2018 Department of DefenseArmy
  3. Adaptive Integrated Multi-Modal Sensing Array

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: AF08BT02

    Nanoscale infrared detectors are emerging as a potentially powerful alternative to traditional infrared detector technologies. The University of New Mexico has developed dots in a double well (DDWELL) quantum dot infrared photodetectors which have a spectral responsivity that can be tuned by controlling the bias voltage applied. In this Phase II effort, Polaris Sensor and UNM would fabricate a g ...

    STTR Phase II 2010 Department of DefenseAir Force
  4. Adaptive Quantum-Dot Photodetectors with Bias-Tunable Barriers

    SBC: ESENSORS INC.            Topic: AF08BT02

    The proposed research program focuses on design, fabrication, and characterization of quantum-dot infrared photodetectors (QDIPs) which features bias-tunable parameters, including the spectral response, optical gain, and operating time. Wide variations of detector parameters can be realized through the bias-tunable potential barriers surrounding quantum dots. Changes in bias will transform the ba ...

    STTR Phase I 2010 Department of DefenseAir Force
  5. Adaptive Quantum-Dot Photodetectors with Bias-Tunable Barriers

    SBC: ESENSORS INC.            Topic: AF08BT02

    Esensors, with SUNY at Buffalo and SUNY at Albany as a subcontractor, will simulate, fabricate, experimentally investigate, evaluate, and deliver aprototype of a new adaptive IR photodetector based on advanced quantum dot (QD) structures. The detector’s operating principle is based on a new concept of the photoelectron lifetime tunable via adjustable potential barriers in QD structures. The phot ...

    STTR Phase II 2010 Department of DefenseAir Force
  6. 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
  7. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: SENVOL LLC            Topic: DLA18A001

    The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to s ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  8. Advanced Materials for the Design of Lightweight JP5/JP8/DS2 Fueled Engines for Unmanned Aerial Vehicles (UAVs)

    SBC: Northwest Uld, Inc.            Topic: N10AT001

    Northwest UAV Propulsion Systems proposes using our purpose built heavy fuel engine designed and built in the USA for small unmanned aerial systems in the tier 2 & 3 class. We will be adding a lightweight ceramic material set combined with FEA (Finite Element Analysis) and heavy fuel atomizer (IRAD Project) to create a lightweight engine for a SUAS or STUAS class UAVs. The Ceramic material set is ...

    STTR Phase I 2010 Department of DefenseNavy
  9. Advanced Mediator Architectures for Efficient Electron Transfer in Enzymatic Fuel Cell Electrodes

    SBC: CFD RESEARCH CORPORATION            Topic: AF09BT03

    Our objective is to develop advanced mediator architectures for efficient electron transfer in enzymatic fuel cells (EFCs) for low power systems. The proposed EFC will leverage ongoing research at both CFDRC and Michigan State University to provide a fully-integrated lightweight, low-cost, manufacturable, and renewable power supply, for various military and civilian applications. EFC systems offer ...

    STTR Phase I 2010 Department of DefenseAir Force
  10. Advanced Rocket Trajectory Propagation Techniques

    SBC: Reservoir Labs, Inc.            Topic: MDA17T002

    Reservoir Labs and Johns Hopkins University will develop alternative numerical solution techniques that improve computational loading, data storage, and data integrity for rocket vehicle trajectory modeling in MDA federated simulations.The objective of this program is to develop new techniques for trajectory propagation that are more suited for use in federated simulations than traditional methods ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
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