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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. Time Resolved Multiparameter Flow Diagnostic for Engine Exhaust Plumes

    SBC: METROLASER, INCORPORATED            Topic: N23AT005

    High temperature jet plumes emanating from aircraft engines and missiles produce effects that are of interest for threat detection, environmental noise, and engine development purposes. Optical and infrared emissions from plumes are sources of light and heat signatures, respectively, that can potentially be used for tracking or targeting vehicles in flight.  Acoustic noise from jet plumes can pot ...

    STTR Phase I 2023 Department of DefenseNavy
  2. Microwave Radiator for Curing Polymer Composites (MRCPC)

    SBC: PHYSICAL SCIENCES INC.            Topic: N23AT006

    The Navy requires a low-cost, industrial microwave system for curing aerospace composite materials. In this Phase I STTR proposal, Physical Sciences Inc outlines the development of a microwave applicator that uses low-cost RF sources and can be installed in heritage autoclaves for curing large aerospace composite parts. This technology has the potential to improve cured mechanical properties, and ...

    STTR Phase I 2023 Department of DefenseNavy
  3. Flat Lens Ultra-Compact Lightweight MWIR Zoom lens for small pixel

    SBC: ATTOLLO ENGINEERING, LLC            Topic: N23AT007

    Attollo Engineering will develop a zoom capable ultra-compact lightweight MWIR camera based off its commercial MWIR Griffin-HD8 camera with a zoom capable Metalens optic. The imager format is 1280 x 720 on an 8 micron pitch, among the smallest size in industry weighing just 240 grams without the optical lens, and was designed for small battery-operated Group 1 unmanned aerial vehicles (UAVs). The ...

    STTR Phase I 2023 Department of DefenseNavy
  4. Large-scale Meta-optic Optimization

    SBC: PHYSICAL SCIENCES INC.            Topic: N23AT008

    Physical Sciences Inc. (PSI), in collaboration with Stanford University, will develop an electromagnetic simulation package used for the development and optimization of large-scale meta-optics, and demonstrate the functionality of the package in the long-wave infrared (LWIR). Our team will combine recent progress in physics-augmented deep learning neural networks with rigorous far-field diffractio ...

    STTR Phase I 2023 Department of DefenseNavy
  5. A Massively Parallel Scalable Processor for Order of Magnitude Increase in Acceleration of Photonic Simulations

    SBC: VIRTUAL EM INC.            Topic: N23AT008

    Virtual EM proposes develop a massively parallel ASIC for orders of mangnitude speed up of electromagnetic simulations of thin optical lenses made of metamaterials. The ASIC will implement a prorietary algorithm and will deliver scalable run-times that cut the simulation time by more than 1000x compared to today's state-of-the-art simulators.

    STTR Phase I 2023 Department of DefenseNavy
  6. Gradient index for reduced integration costs (GRIN-RICH)

    SBC: PHYSICAL SCIENCES INC.            Topic: N23AT011

    Physical Sciences Inc. partnered with Alfred University will develop an F/1, 90 degree full field of view MWIR/SWIR gradient index (GRIN) compound lens for reduced size and lens integration cost. The element-by-element achromatization and athermalization of GRIN provide useful performance improvements to GRIN systems. Element count is reduced (= 2), diversity of optical material needed is fixed, a ...

    STTR Phase I 2023 Department of DefenseNavy
  7. Sensor Modality Translation through Contrastive Deep Learning

    SBC: PHYSICAL SCIENCES INC.            Topic: N23AT013

    Physical Sciences Inc. (PSI), in collaboration with the University of Rhode Island, proposes to develop an advanced algorithm suite for data translation across sensing modalities to support the development of automated target recognition and classification algorithms for Unmanned Underwater Vehicles. The proposed Deep Diffusion Sensor Translation (DDST) leverages recent advancements in generative ...

    STTR Phase I 2023 Department of DefenseNavy
  8. UUV Sensor Transformation

    SBC: Arete Associates            Topic: N23AT013

    Areté and its teaming partner the University of Arizona (UofA) will develop a software tool that transforms sensor and metadata from a given sensor system into realistic synthetic data as if it were collected by a different sensor system. The exponential rise in available data from a multitude of sensor systems has driven commercial and academic entities to achieve significant innovations in arti ...

    STTR Phase I 2023 Department of DefenseNavy
  9. AI-Based Learning Environment (ABLE) for Undersea Warfare (USW) Training

    SBC: PACIFIC SCIENCE & ENGINEERING GROUP, INC.            Topic: N23AT014

    To compete on the world stage of undersea warfare (USW), the US Navy’s USW systems are frequently updated with advanced capabilities. As a result, modernization trainers need to perform the challenging tasks of updating training material to reflect the new (and obsolete) capabilities. This process requires comparing legacy to updated documentation, identifying changes to system capabilities, and ...

    STTR Phase I 2023 Department of DefenseNavy
  10. Non-thermal Plasma for Deployable JP-10 Fuel Synthesis

    SBC: MALACHITE TECHNOLOGIES INC            Topic: N23AT015

    Our Phase I project will synthesize JP-10 jet fuel from CO2 feedstock using a multi-step process.  CO2 will be converted to syngas (CO and H­2) in a plasma reactor. The syngas will be used as the feedstock for a catalytic Fischer-Tropsch synthesis of JP-10. This carbon-neutral system will be easily deployable to synthesize jet fuel in remote locations, fit in a standard shipping container, and i ...

    STTR Phase I 2023 Department of DefenseNavy
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