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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. Additive Manufacturing of Multifunctional Nanocomposites

    SBC: Sciperio, Inc.            Topic: A13AT010

    Sciperio with team members Georgia Institute of Technology and Centecorp have teamed up to develop an Additive Manufacturing Composite using nano and micro fillers. The team will develop multi-scale models that are supported by experimental characterization for advanced 3D Printable materials. Inelastic response of high strength hierarchical structures composed of engineered materials and specif ...

    STTR Phase I 2013 Department of DefenseArmy
  2. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: SENVOL LLC            Topic: DLA18A001

    The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to s ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  3. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA18A001

    Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry se ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  4. Advanced Computational Algorithms for Simulating Weapon-Target Interaction

    SBC: ACTA, LLC            Topic: N/A

    This STTR project will develop and validate a robust, scalable computational capability for the simulation of weapon-target interactions of interest to the Army. The proposed algorithm is based on the FLIP (Fluid Implicit Particle) - MPM (Material Point Method) - MFM (Multiphase Flow Method) approach and CartaBlanca nonlinear solver environment developed at Los Alamos National Laboratory. CartaB ...

    STTR Phase I 2004 Department of DefenseArmy
  5. Advanced Morphing Moulage for Medical Training (AMM-MT)

    SBC: VCOM3D INC            Topic: DHA17A002

    For this Phase I SBIR proposal, Vcom3D proposes to design advanced medical moulage that accurately simulates the progression of an injury or pathology by morphing through a series of clinical states to enable learners to confirm the progression of the wound and to determine whether iatrogenic errors or pathologies occurred duing treatment. The physical morphing moulage may be applied to medical m ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  6. An Automated, High Throughput, Filter-Free Pathogen Preconcentrator

    SBC: CFD RESEARCH CORPORATION            Topic: A10AT016

    Accurate real-time waterborne pathogen detection is of paramount importance to security of U.S. military forces and installations. Fieldable high-throughput pathogen concentration is a critical analytical need for enhanced detection performance. Existing concentration methods are time-consuming, bulky, labor-intensive, power- and reagent-hungry, and consequently ill-suited for battlefield deployme ...

    STTR Phase I 2010 Department of DefenseArmy
  7. A universal framework for non-deteriorating time-domain numerical algorithms in Maxwell's electrodynamics

    SBC: COMPUTATIONAL SCIENCES LLC            Topic: A13AT008

    The project will remove a key difficulty that currently hampers many existing methods for computing unsteady electromagnetic waves on unbounded regions. Numerical accuracy and/or stability may deteriorate over long times due to the treatment of artificial outer boundaries. We propose to develop a universal algorithm and software that will correct this problem by employing the Huygens'principl ...

    STTR Phase I 2013 Department of DefenseArmy
  8. Automated Behavioral Health Triage

    SBC: Activity Research Services            Topic: A04T025

    The overall objective of this project is to develop an automatic adaptive testing system that rapidly identifies specific cognitive deficits to aid in medical and operational decision making. This system will greatly increase the usability of test systems developed under Army sponsorship during the last 20 years, resulting in a product with broad application in both military and civilian environm ...

    STTR Phase I 2004 Department of DefenseArmy
  9. Automated Behavioral Health Triage

    SBC: PROFESSIONAL SERVICES GROUP            Topic: A04T025

    The ultimate STTR goal is to develop an automated behavioral health triage assessment system that: (a) contains tests sensitive to specific cognitive dysfunctions; (b) organizes test data into a logic-tree indicating where further testing is needed; (c) provides concurrent and transparent analysis of individual test results; (d) provides a tailored battery of relevant additional test modules when ...

    STTR Phase I 2004 Department of DefenseArmy
  10. Automated Blood Component Separator

    SBC: Antek            Topic: A10AT026

    The objective of the proposed research is to develop a portable, passive system for rapid and efficient blood component separation. While a number of macro-scale devices are routinely employed in laboratory settings to separate, for example, red blood cells (RBCs) from platelet-rich plasma (PRP), and an emerging class of microfabricated devices are slowly being developed to address various low-th ...

    STTR Phase I 2010 Department of DefenseArmy
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