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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. Scalable Manufacturing of Composite Components Using Nanostructured Heaters

    SBC: METIS DESIGN CORP            Topic: N18BT031

    Manufacturing of structural composites traditionally employs autoclaves to achieve high quality parts, including high fiber-volume-fractions and low porosity. A laminate comprised of stacked prepreg plies are cured under a vacuum in addition to ~7 bar of pressure to prevent formation of voids, particulalry in interlaminar (inter-sheet/ply) regions. However, manufacturing composites within an autoc ...

    STTR Phase I 2019 Department of DefenseNavy
  2. Catastrophic Optical Damage Mitigation in Quantum Cascade Lasers by Facet Disordering

    SBC: N2 Biomedical, LLC            Topic: N19AT004

    Quantum cascade laser optical output power is limited by laser facet catastrophic optical damage (COD). In edge-emitting semiconductor lasers COD is a thermal runaway process wherein the front facet of the laser heats under high power operation. This facet heating reduces the semiconductor bandgap which increases the optical absorption and also increases the electrical injection current in the fac ...

    STTR Phase I 2019 Department of DefenseNavy
  3. Process to Mitigate Catastrophic Optical Damage to Quantum Cascade Lasers

    SBC: PENDAR TECHNOLOGIES LLC            Topic: N19AT004

    In this program, we will develop solutions to optimize QCL fabrication processes, such as facet passivation and high thermal conductivity coatings, that will mitigate the reliability issues for high power QCL applications. In phase I, we will first evaluate all concepts and efforts that have been largely investigated for GaAs based high power diode lasers and transfer the knowledge to InP based QC ...

    STTR Phase I 2019 Department of DefenseNavy
  4. Process to Mitigate Catastrophic Optical Damage to Quantum Cascade Lasers

    SBC: IRGLARE LLC            Topic: N19AT004

    The development of a catastrophic optical damage model for quantum cascade lasers describing instantaneous laser damage at high optical power levels is proposed. The model will be validated by comparison to experimental data. Based on obtained results, changes to laser design and laser fabrication resulting in an increased damage threshold will be implemented. The work will ultimately result into ...

    STTR Phase I 2019 Department of DefenseNavy
  5. Advanced Ship-handling Simulators

    SBC: D'Angelo Technologies, LLC            Topic: N18AT014

    There is a need to create an automated, adaptive, real time coaching module that can integrate the Conning Officer Virtual Environment (COVE) along with the associated Intelligent Tutor System (COVE-ITS) and the Conning-Officer Ship Handling Assessment (COSA) together. By automating the evaluation process, Surface Warfare Officers (SWOs) will have the opportunity to use the COVE simulations more f ...

    STTR Phase I 2018 Department of DefenseNavy
  6. Processes for Fabrication of Atomically Precise Strongly Correlated Materials

    SBC: XALLENT INC.            Topic: ST17C002

    Developing knowledge-driven nanoelectronics for military applications requires understanding the fundamental physics that governs the behavior of the underlying materials. Strongly correlated materials have very desirable properties such as interfacial superconductivity, ferroelectricity, ferromagnetism, and huge magnetoresistance, which make them an ideal set of candidates to integrate with semic ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  7. FPGA Vulnerability Analysis Tools

    SBC: GRAMMATECH INC            Topic: N19AT018

    Field programmable gate arrays (FPGAs) are becoming increasingly critical components in advanced electronic systems. However, limited research has been applied to identifying critical vulnerabilities that could be present in the designs deployed on these FPGAs. The risk is further increased by the use of 3rd party intellectual property in many designs.GrammaTech is proposing to develop a Trust ver ...

    STTR Phase I 2019 Department of DefenseNavy
  8. FPGA Vulnerability Analysis Tools

    SBC: BLUERISC INC            Topic: N19AT018

    BlueRISC's proposed solution takes the form of an automated toolkit that is able to analyze an FPGA bitstream with respect to exploitability. The solution relies on an FPGA-agnostic framework for automatically reverse-engineering an FPGA-bitstream into an intermediate representation (IR). This IR is FPGA agnostic and enables a program-analytic framework for extracting a fundamental FPGA-centric Vu ...

    STTR Phase I 2019 Department of DefenseNavy
  9. Seamless Wireless Charging of Micro and Small Unmanned Aerial System Through Local Power Transmission Infrastructure

    SBC: EH GROUP INC            Topic: N19AT019

    Wireless charging of unmanned aerial system (UAS) platforms from the environment has the potential to greatly increase flight and mission times. A promising option is to use electromagnetic fields from the power transmission infrastructure as an energy source. EH Group and the University of Alabama propose a design for UAS wireless charging in the near-field environment of the commercial power tra ...

    STTR Phase I 2019 Department of DefenseNavy
  10. Data Analytics and Machine Learning Toolkit to Accelerate Materials Design and Processing Development

    SBC: CFD RESEARCH CORPORATION            Topic: N19AT020

    Navy has identified refractory high entropy alloy (RHEA) and metal additive manufacturing as two potential areas of interest. This includes designing new RHEA and optimizing metal additive manufacturing with specific material property requirements. Developing materials and processes via applying traditional experimentation and process optimization techniques is painfully slow due to the large numb ...

    STTR Phase I 2019 Department of DefenseNavy
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