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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. 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
  2. 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
  3. 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
  4. Smart contact lens for sensing physiological and stress-related biomarkers

    SBC: CFD RESEARCH CORPORATION            Topic: AF23AT003

    Airmen are continually exposed to high stress situations that require them to perform with high precision. Both chronic and acute stress exposure can impair an individual’s performance, even in far less stressful scenarios. The body responds to high stres

    STTR Phase I 2023 Department of DefenseAir Force
  5. Contact Lens Integrated Physiological Sensors

    SBC: HEDGEFOG RESEARCH INC.            Topic: AF23AT003

    Tear film biomarkers have recently emerged as a promising diagnostic tool for a range of ocular and systemic diseases. Recent advances in tear film analysis have enabled the identification of specific biomarkers that can serve as reliable indicators of va

    STTR Phase I 2023 Department of DefenseAir Force
  6. 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
  7. Novel Method for Renewable JP10 Production

    SBC: Technology Holding, LLC            Topic: N23AT015

    Currently, all JP10 is produced from fossil sources. The objective of the proposed project is to develop a scalable synthetic approach to producing JP-10 that meets military specification, MIL-DTL-87107E from non-fossil sustainable energy resources. During phase I, we will define, develop, and perform initial laboratory assessment of the proposed synthetic process to validate the technical feasi ...

    STTR Phase I 2023 Department of DefenseNavy
  8. Lightweight Turbogenerator for eVTOL Systems in Marine Environments

    SBC: SCALED POWER INC            Topic: N23AT016

    The proposed R&D project is to develop a lightweight integrated turbogenerator in a compact package intended for embedded integration into a Vertical Take-off and Landing Unmanned Aerial System (VTOL UAS). The turbogenerator will support short duration, high-power flight conditions, such as those encountered during takeoff and landing. The project will take an existing, innovative compact turbogen ...

    STTR Phase I 2023 Department of DefenseNavy
  9. Distributed Consensus for Coherent Spectrum Sensing

    SBC: TIAMI LLC            Topic: N23AT017

    In this Phase I effort, Tiami, LLC, aims to develop and demonstrate a hardware proof of concept for a completely distributed spectrum sensing scheme that leverages consensus learning amongst radio frequency (RF) sensors. The algorithm is based on low-bandwidth message exchange between one-hop neighbors, spans multiple RF bands, is agnostic to the sensing modality, and is resilient to link disrupti ...

    STTR Phase I 2023 Department of DefenseNavy
  10. Synthetic Graphite from Biomass as Anode Material for 6T Batteries

    SBC: FARAD POWER INC            Topic: N23AT020

    Farad Power Inc. proposes to develop and commercialize a Li-ion battery (LIB)- grade graphite from an agricultural waste extract for use in 6T batteries for the US Navy.  Specifically, furan chemicals (furfural C5H4O2 and furfuryl alcohol C5H6O2) are extracted from the hemicellulose component of plant-based biomass.  These chemicals are pure, cheap, and abundant. We have developed a patented pro ...

    STTR Phase I 2023 Department of DefenseNavy
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