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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. Realistic Ocean Water for Simulator Environment Augmentation

    SBC: LYNNTECH INC.            Topic: N20AT014

    This is Lynntech’s response to the exploratory STTR solicitation titled “Machine Learning for Simulation Environments” to improve the realism of periscope simulators, by, as much as possible, augmenting the front-end display of the Navy’s Submarine Multi-Mission Team Trainer (SMMTT). SMMTT incorporated physics-base elements but produces pristine low-res image frames.  Our Realistic Ocean ...

    STTR Phase I 2020 Department of DefenseNavy
  2. Conjugate heat transfer for LES of gas turbine engines

    SBC: CASCADE TECHNOLOGIES INC            Topic: N19BT027

    Current design tools for gas turbine engines invoke a variety of simplifying assumptions to estimate heat transfer to solid/metal engine components (e.g., isothermal boundary conditions). These approximations are often not valid, result in inaccurate predictions of heat transfer, and ultimately compromise the thermal integrity of propulsion and power systems. Wall-modeled large eddy simulation (WM ...

    STTR Phase II 2020 Department of DefenseNavy
  3. Frequency and Phase Locking of Magnetrons Using Varactor Diodes

    SBC: CALABAZAS CREEK RESEARCH, INC.            Topic: N20AT015

    Magnetrons are compact, inexpensive, and highly efficient sources of RF power used in many industrial and commercial applications. For most of these applications, the requirement is for RF power without regard to precise frequency or phase control, and noise riding on the RF signal is not important. For many accelerator, defense, and communications applications, however, these characteristics prev ...

    STTR Phase I 2020 Department of DefenseNavy
  4. Machine Learning for Transfer Learning for Periscopes

    SBC: ARETE ASSOCIATES            Topic: N20AT007

    Areté and the Machine Learning for Artificial Intelligence (MLAI) Lab at the University of Arizona (UofA) will develop and demonstrate new approaches that improve the performance of in situ machine learning (ML) algorithms as they evolve over time, adapt to new environments, and are capable of transferring their learned experiences across platforms.  Technological advances that will be brought t ...

    STTR Phase I 2020 Department of DefenseNavy
  5. Machine Learning for Simulation Environment

    SBC: ARETE ASSOCIATES            Topic: N20AT014

    Areté and the Machine Learning for Artificial Intelligence (MLAI) Lab at the University of Arizona (UofA) will develop an interactive scenario building tool capable of generating realistic synthetic 360° videos in real-time for use in training simulators for periscope operators .  We refer to this solution as RealSynth360.  This novel capability will be created by combining the latest advances ...

    STTR Phase I 2020 Department of DefenseNavy
  6. Virtual Reality for Multi-INT Deep Learning (VR-MDL)

    SBC: INFORMATION SYSTEMS LABORATORIES INC            Topic: AF19AT010

    A key goal stated in the United States Air Force Science and Technology Strategy for 2030 and Beyond is to “Increase the speed of battlespace understanding and decision-making to act faster than any adversary.” In this project, ISL and Ohio University (ISL-OU) will build on the success of Phase I and deliver a new game-changing capability for reliably performing complex radio frequency, multi- ...

    STTR Phase II 2020 Department of DefenseAir Force
  7. STTR Phase I: Vertical Structure Thin Film Transistors for High Performance Displays and Internet of Things Devices

    SBC: Solsona Enterprise LLC            Topic: S

    The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to improve the performance of flat panel displays of various form factors and sizes. One of the key subsystems of a flat panel display is a TFT (Thin Film Transistor) backplane that drives the pixels in the panel. There are increasing demands for improved resolution and frame rate in displa ...

    STTR Phase I 2020 National Science Foundation
  8. Transportable Rugged Crystalline Silicon Reference (TRuCR)

    SBC: AOSENSE, INC.            Topic: AF20AT001

    Crystalline silicon cavities serve as ultralow-phase-noise optical local oscillators for optical atomic frequency standards and can support the realization of optical timescales.  While a JILA/PTB team has built and tested several silicon cavities over the past decade, similar cavities are not readily available to other potential users.  We propose to combine AOSense’s expertise in laser-frequ ...

    STTR Phase I 2020 Department of DefenseAir Force
  9. Low-Power Microwave Oscillator (LMO)

    SBC: AOSENSE, INC.            Topic: AF20AT001

    High-performance microwave atomic clocks have broad applications, both for military and civilian uses.  A low-phase-noise microwave frequency oscillator/synthesizer is necessary to ensure the high performance of these microwave clocks.  A power-hungry conventional low-phase-noise microwave frequency oscillator/synthesizer circuit usually limits the reduction of the power consumption in these ato ...

    STTR Phase I 2020 Department of DefenseAir Force
  10. SiN-based heterogeneous PIC platform around 670 nm

    SBC: NEXUS PHOTONICS INC            Topic: AF20AT002

    We propose to develop an atomically referenced visible spectroscopy-grade PIC laser operating at 671 nm which will provide a visible PIC-based oscillator with absolute atomically referenced frequency stability at a part per billion level.

    STTR Phase I 2020 Department of DefenseAir Force
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