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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.

Displaying 202121 - 202130 of 207712 results
  1. Physics-Informed Machine Learning for Hypersonic Turbulence

    SBC: SPECTRAL SCIENCES, INC            Topic: N22AT016

    Turbulence modeling for compressible flow is essential for accurate modeling of heat transfer, skin friction, and pressure surrounding hypersonic vehicles to correctly predict vehicle survivability. High fidelity computational fluid dynamics (CFD) approaches are too computationally demanding and require faster, workhorse methods such as Reynolds Averaged Navier-Stokes (RANS) simulations for compu ...

    STTR Phase I 2022 Department of DefenseNavy
  2. Time-Accurate Modeling for Hypersonic Morphing Vehicles

    SBC: SPECTRAL SCIENCES, INC            Topic: A22BT012

    To achieve enhanced tactical performance, speed, reach, and lethality, next-generation hypersonic vehicles must be designed for increased dynamics, control, and maneuverability. Morphing and adaptive structures, and active control surfaces will be critical in achieving these goals. However, the time-varying flow-field brought about by changes in vehicle orientation and configuration make such desi ...

    STTR Phase I 2022 Department of DefenseArmy
  3. Software for First Principles-Based Predictions of the Survivability of EO/IR Sensor Materials Exposed to the Radiation Environment of Space

    SBC: SPECTRAL SCIENCES, INC            Topic: MDA22002

    The micro- and opto-electronic components, such as electro-optic/infrared (EO/IR) sensors, can be damaged due to exposure to the harsh radiation environment of space. Computational predictions of radiation-induced damage to the materials that give these components their functionality show promise in helping to determine how to harden these devices. In the proposed work, we will investigate how to ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  4. Mass Spectral Sensor for Post-intercept Assessment

    SBC: SPECTRAL SCIENCES, INC            Topic: MDA22009

    Spectral Sciences in collaboration with Busek, Corvid Technologies, and Control Vision, Inc. proposes a MAss Spectral Sensor for Post-Intercept Assessment (MASSPIA). Phase I involves development and demonstration of the concept using state-of-the-art post-intercept debris cloud modeling tools, and a preliminary design of the mass spectral sensor. Approved for Public Release | 22-MDA-11215 (27 Jul ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  5. Comprehensive Optical Post-Processing tool (COPPT)

    SBC: SPECTRAL SCIENCES, INC            Topic: MDA14009

    Spectral Sciences, Inc. (SSI), proposes extensive upgrades, benchmarking, and post-intercept assessment (PIA) prototype integration of the Comprehensive Optical Post-Processing Tool (COPPT). SSI will lead a Team of experts including Corvid Technologies, SciTec, Sandia National Laboratory, and Lawrence Livermore National Laboratory. COPPT is an EO/IR scene generation code that post-processes output ...

    SBIR Phase II 2022 Department of DefenseMissile Defense Agency
  6. Moving Target Simulator (MTSim) Framework

    SBC: SPECTRAL SCIENCES, INC            Topic: AF2210025

    Airborne Moving Target Indication (AMTI) from proliferated Low Earth Orbit (LEO) requires rapid detection and identification of moving targets from a sequence of imagery which contains platform induced motion, natural scene motion and target motion. Successful AMTI in such a complicated and cluttered environment requires new and innovative image processing techniques. Machine Learning (ML) may ...

    SBIR Phase I 2022 Department of DefenseAir Force
  7. High Sensitivity Tracking for Event-Based LEO Moving Target Indication

    SBC: SPECTRAL SCIENCES, INC            Topic: AF221D022

    The Air Force is exploring the applicability of event-based sensing (EBS) for intelligence, surveillance, and reconnaissance from low earth orbit. These sensors would be deployed in a proliferated, hybrid satellite architecture for the detection of moving

    SBIR Phase II 2022 Department of DefenseAir Force
  8. Enhanced Modeling and Simulations of Hypersonics

    SBC: SPECTRAL SCIENCES, INC            Topic: NGA203002

    The conditions encountered by hypersonic vehicles are complex due to the non-linear, strong interaction between the flow field environment and vehicle.  Successful modeling requires multi-physics capabilities that can properly take into account high-temperature gas dynamics, which includes excitation of internal energy modes, finite-rate gas chemistry, turbulent flow, and complex plasma physics, ...

    SBIR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency
  9. Predictive Model for Sensor Effects from Aberrating Vehicle Environments With Spectra (SEAViEWS)

    SBC: SPECTRAL SCIENCES, INC            Topic: N212136

    The complex interplay between turbulent high-speed aerodynamics and thermo-chemical nonequilibrium in the hypersonic regime has a significant impact on optical sensors. This includes unsteady distortions like image blur from turbulence, steady distortions like image tilts from shock waves, and  signal-to-noise-ratio degradation from background radiation/emissions. Currently, no stand-alone tool e ...

    SBIR Phase I 2022 Department of DefenseNavy
  10. Automated Full Trajectory Aero-Thermo-Mechanical Simulation Coupling for Hypersonic Flight

    SBC: SPECTRAL SCIENCES, INC            Topic: N221081

    Spectral Sciences, Inc., in collaboration with GoHypersonic Inc., proposes to develop a framework for linking high-fidelity aerothermal gas flow simulations and nonlinear thermomechanical finite element analysis (FEA) for hypersonic vehicles through streamlined and automated mapping of results between the models. This effort will include the selection of an appropriate material mod ...

    SBIR Phase I 2022 Department of DefenseNavy
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