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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. Protocol Feature Identification and Removal

    SBC: P & J ROBINSON CORP            Topic: N18AT018

    Protocols used for communication suffer bloat from a variety of sources, such as support for legacy features or rarely used (and unnecessary) functionality. Traditionally, the Navy subscribes to a blanket adoption of a standard protocol "as is". Unnecessary features are active and can be accessed by both internal and external systems creating security vulnerabilities. PJR Corporation's (PJR's) Pha ...

    STTR Phase II 2019 Department of DefenseNavy
  2. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA18A001

    This Phase II project aims to assemble the key set of sensor modalities that are needed to reliably view the key process anomalies and properties of laser powder bed fusion. The research team will down-select from the Phase I sensors investigated and integrate the sensors into a sensor fusion software package that facilitates data collection and synchronization, and eventually feedback control of ...

    STTR Phase II 2019 Department of DefenseDefense Logistics Agency
  3. Detect and Avoid Certification Environment for Unmanned Air Vehicles (UAVs)

    SBC: RDRTEC INCORPORATED            Topic: N18AT007

    The objective of this project is to develop a comprehensive suite of tools, called the DAA Radar Software Suite and Simulation (DAA-RSSS), that supports future Navy procurement and certification of non-cooperative sensor technologies for Detect And Avoid (DAA) as well as develop plans to support EO/IR sensors as the non-cooperative sensor as informed by FAA activities in developing Minimum Operati ...

    STTR Phase II 2019 Department of DefenseNavy
  4. Situational Awareness for Mission Critical Ship Systems

    SBC: IERUS TECHNOLOGIES INC            Topic: N18AT009

    With the advent of the Navy’s newest classes of all-electric vessels, the interdependence and functional correlation of the power plant with other mission-critical ship systems such as integrated cooling, weapons, navigation, air surveillance, and IT control network systems, maintaining optimal oversight and control of power distribution aboard ship becomes increasingly challenging. As the opera ...

    STTR Phase II 2019 Department of DefenseNavy
  5. Additive Manufacturing for Naval Aviation Battery Applications

    SBC: TEXAS RESEARCH INSTITUTE , AUSTIN, INC.            Topic: N18AT008

    Texas Research Austin (TRI-Austin) will continue to partner with the University of Texas, Austin, to use additive manufacturing for fabricating and optimizing the lithium ion and electroactive metal electrode systems for which the team established proof of concept in the Phase I base period. The Aerosol Deposition Method (ADM) is a broadly applicable additive manufacturing technology that has been ...

    STTR Phase II 2019 Department of DefenseNavy
  6. Parallel Two-Electron Reduced Density Matrix Based Electronic Structure Software for Highly Correlated Molecules and Materials

    SBC: Q-CHEM INC            Topic: A14AT013

    The variational two-electron reduced-density matrix (v2RDM) method provides an effective framework for computer modeling of the electronic structure of complex molecules and materials that exhibit strong correlation effects. In Phase I and Phase II of this STTR we have demonstrated that the GPU-accelerated implementation of the v2RDM-based complete active space self-consistent field (v2RDM-CASSCF) ...

    STTR Phase II 2019 Department of DefenseArmy
  7. Pulse Voltammetry Tools for Accurate and Rapid Analysis of Batteries

    SBC: CFD RESEARCH CORPORATION            Topic: A152092

    Pulse voltammetry techniques, coupled with model-based analysis tools, provide a number of advantages for quantitative analysis of electrochemically active materials that govern the performance of batteries and fuel cells. In prior Phase I and II research, CFD Research developed and validated computational models in software that reads voltammogram data from laboratory instruments; predicts the re ...

    STTR Phase II 2019 Department of DefenseArmy
  8. Full Mueller Matrix Characterization of Imaged Samples using Digital Holography

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: AF18AT007

    The Phase II effort will be to clearly demonstrate the feasibility and build a prototype of a noncontact, high-quality holographic polarimetry system with pixel level depth and Mueller matrix information with a user-friendly interface to image and display this data. The measurements of each data product will be validated with trusted truth samples. The system will be reproducible and will have a d ...

    STTR Phase II 2019 Department of DefenseAir Force
  9. Volume Digital Holographic Wavefront Sensor Phase 2

    SBC: NUTRONICS, INC.            Topic: AF18AT006

    Through the execution of our Phase 1 effort, Nutronics, Inc. and Montana State University developed an improved means to optimize the Pellizzarri cost functional for coherent imaging using digital holography. Our algorithm developed during the Phase 1 effort accelerates convergence times by a factor of 20-40 for the majority of scenarios evaluated. Our proposed Phase 2 effort has a two-fold focus: ...

    STTR Phase II 2019 Department of DefenseAir Force
  10. Carbon Nanotube FET Modeling and RF circuits

    SBC: CARBON TECHNOLOGY INC            Topic: AF18BT006

    Carbon nanotubes (CNTs) have great potential for high performance RF applications. Theoretical study has shown that the electrical current in a CNT field effect transistor (CFET) is intrinsically linear. Today, linearity is the underlying limitation in increasing the data transport densities of wireless networks. The complex modulation protocols used to achieve higher data rates requires linear am ...

    STTR Phase II 2019 Department of DefenseAir Force
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