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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 1 - 10 of 5173 results
  1. Active Material Technology to Improve Solar Sail Performance for Space Weather Monitoring

    SBC: NEXOLVE HOLDING CO LLC            Topic: 96

    Development of a reflection control and direction device (RCDD) is proposed. This innovative device will progress the state of the art for propulsion of solar sails used to fly space weather monitoring sensors to sub-LaGrange point orbits for earlier warning times of impending destructive space weather events. A reflection control device (RCD) utilizes polymer dispersed liquid crystal (PDLC) mater ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  2. Developing the Drought Risk Overview Product (DROP): Improving Flash Drought Forecasts and Early Warning Using Machine Learning and Extreme Value Theory Techniques

    SBC: CFD RESEARCH CORPORATION            Topic: 91

    Drought is responsible for $327.7B in economic loss since 1980 in the United States and typically precedes, cooccurs, or initiates other hazards like wildfires or prolonged periods of intense heat. The compounding or cascading of these hazards routinely threatens the wellbeing and stability of communities. The economic impact from drought can be especially harsh when the drought begins rapidly in ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  3. Multiple-order, Automatic mesh generation for multidisciplinary Analysis

    SBC: CFD RESEARCH CORPORATION            Topic: N23AT001

    Multidisciplinary design, analysis, and optimization of hypersonic aircraft require automated adaptive mesh generation across disparate length scales. In the current state-of-the-art, geometry-aware adaptive meshing techniques are still lacking and the such geometric discrepancy can lead to significant errors in the prediction of critical physics, such as shock-boundary layer interaction and fatig ...

    STTR Phase I 2023 Department of DefenseNavy
  4. DIGITAL ENGINEERING- Integration of Fiber Optics Systems Design, Supportability, and Maintainability

    SBC: Critical Frequency Design, LLC            Topic: N23AT002

    Advancements in optical transport and signal processing for digital and Microwave Photonics (MWP) technology have enabled higher bandwidth, throughput, Dynamic Range (DR), and communication link budgets. Optical transport eliminates heavy shielded twisted pair or coaxial cables, reducing Size, Weight, and Power (SWaP) and provides Electromagnetic Interference (EMI) immunity compared to traditional ...

    STTR Phase I 2023 Department of DefenseNavy
  5. Improved Physics Modeling for Sand Particulate Tracking and Deposition in Gas Turbine Engines

    SBC: ALIR TECHNOLOGIES LLC            Topic: N23AT003

    The effect of particle ingestion in gas turbine engines has become a significant problem in recent decades. Commercial and military aircraft and helicopter engines currently operate over various terrains with particles. Vehicles near the ocean, for example, typically come across sea spray, which contains fine particulates of salt and can lead to the quick corrosion of metallic engine parts inside ...

    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. Mid-wave Infrared Metasurface Zoom Imaging Optics

    SBC: CFD RESEARCH CORPORATION            Topic: N23AT007

    Infrared imaging systems mounted to unmanned aerial vehicles (UAV) are critical for intelligence, surveillance, and reconnaissance (ISR) missions. While much progress has been made in miniaturizing the electronics/cooling package of these imaging systems, the optical components, which are typically large and bulky, can exceed size and weight requirements as well as increase the time needed to reac ...

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