You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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. Naval Platform Aero-Optic Turbulence and Mitigation Methodology

    SBC: CLEAR SCIENCE CORP            Topic: N13AT001

    Clear Science Corp. and the University of Texas at Austin will develop and demonstrate technology that accurately quantifies aero-optical distortion associated with high-energy laser (HEL) weapons on rotorcraft and will utilize the information in designing adaptive optics (AO) systems to maximize HEL system performance over the full range of flight conditions. Aero-optical distortion arises from v ...

    STTR Phase I 2013 Department of DefenseNavy
  2. Progressive Model Generation for Adaptive Resilient System Software

    SBC: GRAMMATECH INC            Topic: N13AT014

    Software continues to be a weak link in our critical systems. A prudent operator should employ a defense-in-depth strategy whereby"safe"systems are still monitored to detect breaches and respond to them. Unfortunately, such monitoring is challenging in practice, since there is no universal pattern that characterizes misbehaving software. We will capture an application"s intended behavior as it is ...

    STTR Phase I 2013 Department of DefenseNavy
  3. Mechanical Property Characterization and Modeling for Structural Mo-Si-B Alloys for High Temperature Applications

    SBC: Imaging Systems Technology, Inc.            Topic: N13AT012

    Under this STTR, Imaging Systems Technology (IST) in cooperation with Georgia Institute Technology (GIT) will develop and mature models to predict mechanical properties of refractory alloys with an eye toward tailoring these alloys for specific applications. In particular, this research will focus on addressing core aspects of Integrated Computational Materials Engineering (ICME) as it applies to ...

    STTR Phase I 2013 Department of DefenseNavy
  4. Probiotics for Maintaining Dolphin (Tursiops truncatus) Health and the Readiness of the U.S. Navy"s Marine Mammal Systems

    SBC: AGAVE BIOSYSTEMS INC.            Topic: N13AT013

    Agave BioSystems, with their academic partners at the Mote Marine Laboratory, proposes to develop probiotic pharmaceuticals from indigenous commensal microbes to enhance gastrointestinal health in the bottlenose dolphin (Tursiops truncatus). The dolphin gastrointestinal microbiome will be characterized by 16S rRNA deep sequencing, and culturable commensals will be isolated by plating dolphin gastr ...

    STTR Phase I 2013 Department of DefenseNavy
  5. Progressive Model Generation for Adaptive Resilient System Software

    SBC: SECURBORATION, INC.            Topic: N13AT014

    Complex software systems are typically developed by disparate engineering teams working concurrently. At the same time, software requirements are frequently dynamic, evolving even during active development cycles. Discrepancies between how software is defined and how it is implemented at the modular level can cascade into critical system errors when modules are integrated. More troubling is that i ...

    STTR Phase I 2013 Department of DefenseNavy
  6. Compact robust testbed for cold-atom clock and sensor applications

    SBC: COLDQUANTA, INC.            Topic: N13AT018

    As strontium and other alkaline-earth metals become increasingly attractive for ultracold-atom applications, there is a growing need to develop compact, robust systems for cooling, trapping, and studying these elements. In this proposal, ColdQuanta will team with Dr. Jun Ye at JILA and the University of Colorado at Boulder to develop a portable, turn-key system that can produce, utilize, and optic ...

    STTR Phase I 2013 Department of DefenseNavy
  7. Maneuver Prediction and Avoidance Logic For Unmanned Aircraft System Encounters with Non-Cooperative Air Traffic

    SBC: NUMERICA CORPORATION            Topic: N13AT003

    For Unmanned Aircraft Systems (UAS) to operate seamlessly in both the U.S. National Airspace System (NAS) and abroad, it will be crucial that they possess a sense-and-avoid (SAA) capability that can ensure safe operations among maneuvering, non-cooperative aircraft. Numerica Corporation, in partnership with Johns Hopkins University, proposes to develop a set of algorithms to model the uncertaintie ...

    STTR Phase I 2013 Department of DefenseNavy
  8. Interlaminar Mode I and Mode II Fracture Toughnesses in Ceramic Matrix Composites (CMCs)

    SBC: Thornton Tomasetti, Inc.            Topic: N13AT008

    Susceptibility to delamination is one of the major weaknesses of ceramic matrix composites (CMCs). Knowledge of the resistance of composite to interlaminar fracture is essential for life cycle prediction analyses of structural components. The current test method for Mode I-interlaminar fracture toughness, the double cantilevered beam (DCB), is not satisfactory for thin CMC specimens because the co ...

    STTR Phase I 2013 Department of DefenseNavy
  9. High Efficiency Computation of High Reynolds Number Flows

    SBC: Technosoft, Inc            Topic: N13AT009

    Although advancements in CFD technology and high performance computing have proven to be effective and reasonably accurate in assessing the hydrodynamic performance of naval vessels, the effort required to develop associated analysis models remains a challenging and time consuming task. Decomposing and manipulating the design geometry for mesh construction, while capturing near-field and far-field ...

    STTR Phase I 2013 Department of DefenseNavy
  10. LEARNING-BASED APPROACH FOR RELEVANT DATA EXTRACTION (LARDE)

    SBC: ROBOTIC RESEARCH OPCO LLC            Topic: N13AT016

    Autonomous systems continue to be outfitted with larger amounts of sensors that are capable of collecting extremely large amounts of data over the course of a mission. Even autonomous systems with high storage capacities can run into storage limitations when burdened with large amounts of sensor data over long mission durations. This proposal will develop a Learning-based Approach for Relevant Dat ...

    STTR Phase I 2013 Department of DefenseNavy
US Flag An Official Website of the United States Government