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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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.

  1. Additive Manufacturing of Metallic Materials for High Strain Rate Applications

    SBC: MRL MATERIALS RESOURCES LLC            Topic: MDA17T001

    Metallic additive manufacturing (AM) is an attractive technology for the production of lethality test articles due to the potential for significantly reduced lead time and manufacturing cost.However, in order to be effective in providing accurate lethality data, the properties of the AM material have to match closely the properties of conventionally manufactured alloys found in real threat targets ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
  2. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA18A001

    Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry se ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  3. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: X-Wave Innovations, Inc.            Topic: DLA18A001

    Additive Manufacturing (AM) is a modern and increasingly popular manufacturing process for metallic components, but suffers from well known problems of inconsistent quality of the finished product. Process monitoring and feedback control are therefore crucial research areas with a goal of solving this problem. To address this concern, X-wave Innovations, Inc. (XII) and the University of Dayton Res ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  4. An improved passivation process for the fabrication of high performance antimony based III-V superlattice materials

    SBC: IRDT Solutions, Inc            Topic: MDA12T003

    Phase I objective is to demonstrate the feasibility of our proposed passivation approach to minimize the dark current noise and improve the quantum efficiency in the GaSb based type II superlattice detectors. Phase I goal is to demonstrate the feasibility of our technology to fabricate photodiodes with cut-off wavelength in excess of 10µm, quantum efficiency exceeding 70% and dark current density ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  5. An Ultra-High Temperature Ceramic with Improved Fracture Toughness and Oxidation Resistance

    SBC: Plasma Processes, LLC            Topic: MDA09T002

    Hypersonic missile defense systems are being designed to reach global threats. During flight, external surfaces are predicted to reach temperatures in excess of 2200C. As a result, innovative, high performance thermal protection systems (TPS) are of great demand. Among ultra-high temperature ceramics (UHTC), it is well known that ZrB2- and HfB2-based materials have high melting temperatures and ...

    STTR Phase I 2010 Department of DefenseMissile Defense Agency
  6. Brain Targeting Nanoparticle for Drug Delivery in Traumatic Brain Injury

    SBC: Weinberg Medical Physics, Inc.            Topic: DHA18A001

    There is an urgent need to bypass or cross the blood brain barrier (BBB) to deliver drugs for TBI treatment. This project aims to develop targted intranasally delivered, magnetically propulsed, and targted nanoparticles for traumatic brain injury (TBI). In Phase I, we will demonstrate the design, fabrication, and in vitro characterization of proposed drug laden magnetic nanoparticles as well as co ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  7. Combined RF/IR Data Correlation

    SBC: Technology Service Corporation            Topic: MDA12T001

    Aegis BMD 5.0 CU will expand and update the Baseline 9 MRBM and IRBM threat set, while Aegis BMD 5.1 will have capabilities against more sophisticated short to intermediate range ballistic missiles. An ability to discriminate this wider set of increasingly sophisticated threats is essential. Technology Service Corporation (TSC) and the Michigan Tech Research Institute (MTRI) propose to identify fe ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  8. Contamination-free, Ultra-rapid Reactive Chemical Mechanical Polishing (RCMP) of GaN substrates

    SBC: Sinmat Inc            Topic: MDA09T001

    Gallium Nitride (GaN) substrates are ideal materials for fabrication of high-power and high-frequency devices based on III-V materials. The current state-of-the-art Chemical Mechanical Polishing (CMP) methods are plagued by several challenges, including, surface charge affects due to surface contamination, and sub-surface damages, which can limit the quality of III-V devices. Furthermore, there is ...

    STTR Phase I 2010 Department of DefenseMissile Defense Agency
  9. Corrosion Protection of High-Value Test&Evaluation Assets

    SBC: SAN DIEGO COMPOSITES, INC.            Topic: MDA13T010

    San Diego Composites (SDC), Inc. is teamed with the University of Maine and Raytheon Missile Systems to provide the solution for corrosion of Missile Defense Agency assets in harsh marine environments: innovative design and application of high performing composite components. It is well known that composite materials are inherently corrosion resistant and possess superior properties that can be ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
  10. Decision Making under Uncertainty

    SBC: GCAS, Inc.            Topic: MDA13T001

    The objectives of our Phase I effort are to characterize target sensor measurement uncertainties and feature extraction uncertainties; determine how and where, in the processing chain, these affect target discrimination and classification; show how the different sources of uncertainty lead to the cumulative uncertainty in the final decision; provide techniques that will be instrumental to optimizi ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
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