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Award Data

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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. STTR Phase I: Condensing Ejector for Second-Step Compression in Reversed Rankine Cycle

    SBC: MAGNETIC DEVELOPMENT INC            Topic: CT

    This Small Business Technology Transfer Phase I project is the research and analysis of critical two-phase flow in condensing ejectors.. This proposal takes a novel and broad-based approach to analyzing the two-phase flow processes and brings about the possibility of substantial improvement in design methodology for various components of energy systems. In particular, the application of critical t ...

    STTR Phase I 2006 National Science Foundation
  2. STTR Phase I: MEMS Spatial Light Modulators for Large Telescopes

    SBC: RESONANT MICROSYSTEMS, INC.            Topic: EL

    This Small Business Technology Transfer (STTR) Phase I project will develop a large-stroke spatial light modulator (SLM) for astronomical instrumentation. Key challenges to current astronomical instrument technology are the requirements for large piston stroke and for increased number of actuators. The proposed Phase I project will develop a piston SLM capable of achieving 10 micron stroke as the ...

    STTR Phase I 2006 National Science Foundation
  3. STTR Phase I: A Novel Tunable Dye Laser for Optical Sensing

    SBC: Scientific Solutions, Inc.            Topic: EL

    This Small Business Technology Transfer (STTR) Phase I research project proposes a tunable dye laser for optical sensing based on the innovative dye-doped Holographic Polymer Dispersed Liquid Crystals (HPDLC) technology. The demonstration of the tunable lasing of dye-doped HPDLC is the main focus during the Phase I research. By carefully choosing the materials including liquid crystal, polymeriza ...

    STTR Phase I 2006 National Science Foundation
  4. STTR Phase I: Embedded Structural Health Sensors Using Solid State Ultrasonic Nanoscale Dissimilar Materials Joining

    SBC: SOLIDICA            Topic: ST

    This Small Business Technology Transfer (STTR) Phase I project will examine the use of a novel, ultrasonic materials consolidation technology as a means to embed Bragg intracore grating, fiber optic strain sensors as part of a real-time asset monitoring information system. The embedding process for strain sensors using ultrasonic consolidation will be the focus of an extensive analysis of the nan ...

    STTR Phase I 2006 National Science Foundation
  5. STTR Phase I: Novel Deposition Rate Sensors for Real-Time Thickness Control of Plasma Spray

    SBC: Cyber Materials LLC            Topic: EL

    This Small Business Technology Transfer (STTR) Phase II research project will develop a robust, commercial ready sensor that enables the first viable implementation of real-time control for plasma spray, reducing the cost for existing spray applications and enabling advanced coating applications that require tighter tolerances. The sensing scheme, based on a high speed solid state array, is superi ...

    STTR Phase I 2006 National Science Foundation
  6. STTR Phase I: Rational design of highly sensitive and selective chemical sensors using structural color

    SBC: DrinkSavvy, Inc.            Topic: BT

    The broader impact/commercial potential of this Small Business Technology Transfer (STTR) project will be the development of sensor-embedded "smart" drinkware (i.e., stirrers, straws and cups) to actively alert consumers prior to consumption of a "spiked" beverage, and thus provide a proactive way to prevent drug-facilitated sexual assault. This sensor technology is based on "smart" molecularly im ...

    STTR Phase I 2018 National Science Foundation
  7. Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in Hypoxia

    SBC: HVMN Inc.            Topic: SOCOM17C001

    In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  8. Human Performance Optimization

    SBC: REJUVENATE BIO INC            Topic: SOCOM17C001

    Special Operations Forces (SOF) are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S. military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the fu ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  9. System for Nighttime and Low-Light Face Recognition

    SBC: Systems & Technology Research LLC            Topic: SOCOM18A001

    Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  10. System for Nighttime and Low-Light Face Recognition

    SBC: MUKH Technologies LLC            Topic: SOCOM18A001

    Recognizing faces in low-light and nighttime conditions is a challenging problem due to the noisy and poor quality nature of the images.Thermal imaging is often used to obtain facial biometric in such conditions. Thermal face images, while having a strong signature at nighttime, are not typically maintained in biometric-enabled watch lists and so must be compared with visible-light face images to ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
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