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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. PREFAB MODULAR LIQUID-COOLED MICRO DATA CENTER

    SBC: Flexnode Inc            Topic: 1

    "To enable the future needs of efficient computing for edge data centers, Flexnode and its partners, the University of Maryland (UMD), Boeing, Iceotope, SHoP Architects, and Arup, propose to develop a prefabricated modular micro data center with unprecedented energy efficiency and power density. The proposed system leverages four key component and system-level technology advancements: (a) a novel, ...

    STTR Phase I 2024 Department of EnergyARPA-E
  2. Low Cost W-Band Imaging Array

    SBC: MILLIMETER WAVE SYSTEMS LLC            Topic: CBD22BT001

    Low-cost systems operating at video rates within W-band have remained elusive – especially for stand-off and remote applications. Real time video rate imaging requires parallel detection modalities that traditionally led to high costs and calibration challenges. Substantial advances in low-cost packaging and chip-level integration driven by commercial millimeter-wave applications can now be appl ...

    STTR Phase I 2023 Department of DefenseOffice for Chemical and Biological Defense
  3. Low Cost Imaging In The mm Wave Region Using Plasma Waves in High Mobility Transistor

    SBC: BRIMROSE TECHNOLOGY CORP            Topic: CBD22BT001

    In this work, we propose to develop low-cost, high sensitivity high electron mobility transistor-based W-band millimeter wave focal plane array/camera based on mature ternary III-V epitaxial materials of InAlAs on top of InP substrate. The plasma-wave detector uses well established mature technology of high electron mobility transistors which allows future integration and reduces cost. The detecto ...

    STTR Phase I 2023 Department of DefenseOffice for Chemical and Biological Defense
  4. Digital Twin-Based Laser Powder Bed Fusion In-Situ Monitoring and Healing Package

    SBC: X-Wave Innovations, Inc.            Topic: N23AT004

    Additive Manufacturing (AM) is a modern and increasingly popular manufacturing process for metallic components, but it suffers from well-known problems of inconsistent quality of the finished product. The US Navy is interested in addressing this problem by developing a digital twin-based machine control tool for in-situ AM process monitoring and healing. Therefore, sensor fusion monitoring, machin ...

    STTR Phase I 2023 Department of DefenseNavy
  5. 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
  6. 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
  7. Composite Microwave Curing Hybrid Simulation Model

    SBC: TDA RESEARCH, INC.            Topic: N23AT006

    TDA proposes to develop a multi-physics-based model to simulate and optimize the microwave curing process of thick fiber reinforced composites. The primary objective is to improve the manufacturing speed and cost of high-quality carbon fiber reinforced composites by quickly identifying the right processing parameters for a given part during microwave processing. The model will account for the inte ...

    STTR Phase I 2023 Department of DefenseNavy
  8. 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
  9. 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
  10. 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
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