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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. Geometry-Perfect CEM Design and Analysis Software for Aircraft Systems

    SBC: IERUS TECHNOLOGIES INC            Topic: N20BT028

    Performing accurate simulations of large- and multi-scale electromagnetics problems has far-reaching implications in a variety of engineering and scientific disciplines. The same physics governs a diversity of applications including problems of importance for NAVAIR such as complex radome-antenna and antenna-platform interactions.  Such simulation problems involve complex materials, multiple feed ...

    STTR Phase I 2020 Department of DefenseNavy
  2. One Micrometer Integrated Transmitter for Balanced Radio-Frequency-Over- Fiber Photonic Links

    SBC: SNAKE CREEK LASERS LLC            Topic: N20BT030

    We propose to develop a heterogeneously integrated optical transmitter for balanced radio-frequency (RF) photonic link applications on air platforms that incorporates a high-power Nd:Glass laser source operating near 1054nm. During Phase I, we will develop a Nd:Glass prototype laser using a design that has already been  used to demonstrate hundreds of mW of single-longitudinal mode (ultra-narrowb ...

    STTR Phase I 2020 Department of DefenseNavy
  3. Advanced, High-Performance, Low-Noise Propeller Designs for Small UxS

    SBC: CFD RESEARCH CORPORATION            Topic: N20AT006

    Improved propeller designs for Small Unmanned Aerial Systems are needed to improve performance and reduce acoustic emissions. Traditional propeller design methods don’t take advantage of advances in coupled fluid, structure and acoustics computational design methods nor advances in high strength, high modulus materials to extend performance of propellers and reduce noise emissions. In the propos ...

    STTR Phase I 2020 Department of DefenseNavy
  4. Highly Efficient Low Noise Propellers and Rotors for Unmanned Systems

    SBC: CONTINUUM DYNAMICS INC            Topic: N20AT006

    Small Unmanned Air Systems (UAS) are critical to deploying sensors, communications and other mission payloads, however, UAS noise, most notably propeller noise, can jeopardize mission success because vehicles can be detected beyond the range of payload effectiveness.  Continuum Dynamics, Inc. and Georgia Institute of Technology propose to develop a new class of highly efficient ultra-quiet propel ...

    STTR Phase I 2020 Department of DefenseNavy
  5. Accelerating the Development of CMAS and Sulfate-Induced Hot Corrosion Resistant Materials through Machine Learning

    SBC: MATERIALS RESEARCH & DESIGN INC            Topic: N20AT019

    For decades gas turbines have been a reliable source of propulsion for a variety of marine-based vehicles. Since their adoption as the go-to solution for vehicles requiring a higher power density than conventions diesel engines can produce, they have suffered from corrosion of their alloyed components. Long believed to be the primary source of the corrosion, great efforts have been made to reduce ...

    STTR Phase I 2020 Department of DefenseNavy
  6. Hybrid Integration of Photonics and Cryogenic Electronics with Magnetic Shielding

    SBC: SYSTEMS VISIONS, LLC            Topic: N20AT021

    The "Hybrid Integration of Photonics and Cryogenic Electronics with Magnetic Shielding (HIPCEMS)” effort will develop a scalable heterogeneous packaging plan which results in extreme energy efficiency information transfer at high clock rates and low bit error rate of digital data between superconducting and photonic technologies, each at 4K. HIPCEMS will feature a mechanically robust package tha ...

    STTR Phase I 2020 Department of DefenseNavy
  7. Enhanced Sensor Resource Management Utilizing Bayesian Inference

    SBC: LAMBDA SCIENCE, INC.            Topic: N19AT002

    The Phase 1 results demonstrate the feasibility of using Bayesian Inference techniques with ML AI engines to augment the cognitive decision processing resident in LSI’s RM for eventual integration within the RM/Navy Mission Processor that is transitioning to the Navy. The proposed Phase 2 effort will further refine the use of Bayesian Inference with AI as enhancements to LSI’s RM. The use of ...

    STTR Phase II 2020 Department of DefenseNavy
  8. CUES: Cyber-mediated Usable Emotional Sensors: Phase 2 Proposal

    SBC: CARLEY TECHNOLOGIES, INC            Topic: N19AT024

    Cataclysmic changes in how we communicate in cyberspace are dramatically altering our society, allowing information to spread faster, farther, and with less assurance of its accuracy, and enabling groups to form and recruit members on-line to foster social divides. Organized social media manipulation has more than doubled since 2017, with at least 70 nation states employing computation assisted te ...

    STTR Phase II 2020 Department of DefenseNavy
  9. Machine Learning Tools to Optimize Metal Additive Manufacturing Process Parameters to Enhance Fatigue Performance of Aircraft Components

    SBC: Global Engineering and Materials, Inc.            Topic: N20AT002

    Global Engineering and Materials, Inc. (GEM) along with team members, Northwestern University (NU) and National Institute for Aviation Research (NIAR) at Wichita State University, propose a coupled tool based on machine learning and integrated computational materials engineering (ICME) to optimize metal additive manufacturing (AM) process parameters to improve fatigue performance of aircraft compo ...

    STTR Phase I 2020 Department of DefenseNavy
  10. Hexahedral Dominant Auto-Mesh Generator

    SBC: Global Engineering and Materials, Inc.            Topic: N20AT004

    Global Engineering and Materials, Inc. (GEM) along with its team members Carnegie Mellon University (CMU), and HexSpline3D propose to develop a novel hybrid modeling approach for automatic and interactive mesh generation using predominately hexahedral finite elements for naval aviation structures. The hybrid approach consists of a global geometric decomposition, an initial hex-dominant mesh genera ...

    STTR Phase I 2020 Department of DefenseNavy
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