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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. Greener Plastics with High Heat Tolerance for Additive Manufacturing

    SBC: INTELLIGENT OPTICAL SYSTEMS, INC.            Topic: 18NCERP2

    Advances in materials and automation are rapidly reshaping the American manufacturing economy, and must be embraced to sustain a strong manufacturing sector in the United States. Additive manufacturing is possibly the fastest growing example of this trend, growing at an astonishing compound annual growth rate of 25.7%. The plastic materials market for additive manufacturing, valued at $700M in 202 ...

    SBIR Phase II 2019 Environmental Protection Agency
  2. PFAS Analyzer- A fieldable device for the broad-spectrum analysis of PFAS in water, soil, and sediments

    SBC: SEACOAST SCIENCE, INC.            Topic: 18NCERP2

    Polyfluoroalkyl substances (PFAS) are used in food packaging, as coatings for cloth (e.g. Scotchgard), firefighting foams, electronics, and industrial and automotive components. Being perfluorinated species, they are engineered to breakdown slowly (half-life >92 years in water), and thus persist for very long times. Their high water-solubility makes them especially dangerous, and much like perchlo ...

    SBIR Phase II 2019 Environmental Protection Agency
  3. Renewable Bioplastics Production

    SBC: ALTEX TECHNOLOGIES CORPORATION            Topic: 18NCERP2

    Current petroleum-derived-plastics contain additives such as phthalates or bisphenolA that are harmful to human health and the environment. Thus, it’s critical to replace such toxic non-biodegradable plastics with biodegradable bioplastics. To meet bioplastics production need, Altex, and Texas A&M University (TAMU) have teamed up to utilize renewable biomass, such as forest residue, agricultural ...

    SBIR Phase II 2019 Environmental Protection Agency
  4. Tools for Memory Hierarchy Optimization on Pre-Exascale HPC Architectures

    SBC: EP ANALYTICS, INC..            Topic: DTRA172003

    DTRA uses High Fidelity Computer Codes (HFCC) to investigate weapon effects and techniques for countering Weapons of Mass Destruction (WMD). End-to-end HFCC simulations in support of the DTRA Agent Defeat Warfighter Capability will require calculations including multiple phenomena that occur in vastly different time scales (µ-sec to hours). As DTRA becomes increasingly reliant on computational mo ...

    SBIR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
  5. Story Mode for Teaching Cross-Curricular Coding Projects

    SBC: CODESPARK, INC.            Topic: 91990019R0012

    In previous R&D, the developers created codeSpark Academy, a game that employs a visual and block-based approach with puzzles to teach coding skills to students ages 5 to 9 years old. codeSpark Academy is in widespread use in and out of schools around the world. In this project, the developers will expand storytelling creative tools within the existing game. The pretend-play scenarios will include ...

    SBIR Phase II 2019 Department of EducationInstitute of Education Sciences
  6. Compact Laser Drivers for Photoconductive Semicond

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC.            Topic: DTRA16A004

    For effective protection against radiated threats, it is important to understand not only the physics of the threats, but also to quantify the effects they have on mission-critical electrical systems. Radiated vulnerability and susceptibility testing requires delivery of high peak power and peak electric fields to distant targets. The most practical solution to simulate such environments on large ...

    STTR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  7. Advanced Solutions for Radiation Susceptibility Analysis & Prediction

    SBC: LUCID CIRCUIT, INC.            Topic: DTRA162006

    With the advent of high-density low-power sub-20nm technology processes and circuits with tens-of-billions of transistors, radiation-induced single-event effects present a new set of design challenges for terrestrial applications. Developing reliable single-event effect resilient microelectronics in these modern technology nodes is a resource and time-intensive endeavor that further requires valid ...

    SBIR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
  8. A GREEN AND UNIQUE THERMOSETTING-THERMOPLASTIC POLYCARBONATE

    SBC: INSTRUMENTAL POLYMER TECHNOLOGIES, LLC            Topic: 16NCER2B

    Of the 300 million tons of plastic produced per year most will require 500 years to biodegrade. Currently only 9% is recycled, and 50 million tons of thermoset plastic produced annually that can't be recycled. _x000D_ _x000D_ This project will develop a sustainable and easily biodegradable polycarbonate plastic that is uniquely a recyclable thermoset resin. We call it a thermosetting thermoplastic ...

    SBIR Phase II 2018 Environmental Protection Agency
  9. Bioinformatics: Data Integration for Biomonitoring Applications

    SBC: Arete Associates            Topic: DTRA162002

    Aret Associates and Oak Ridge National Laboratory (ORNL) propose an interdisciplinary effort to further develop and validate a robust, operational biomonitoring application that can process soil microbiome data to reliably detect episodic and low-level chronic contamination while maintaining low false alarm rate.The Phase II SBIR work will build upon the successful Phase I proof-of-concept demonst ...

    SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  10. DLeN: Deep Learning for standoff detection of Special Nuclear Material

    SBC: CLOSTRA INC            Topic: DTRA162001

    Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of th ...

    SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
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