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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. Radio Frequency (RF) Filter Tuning Element

    SBC: MAXENTRIC TECHNOLOGIES LLC            Topic: AF18AT015

    To meet the requirements of the AF18A-T015 solicitation, MaXentric and University of California San Diego are proposing the development of a low loss, high linearity capacitor. The tunable capacitor target is a compact integrated design, capable of a tuning range up to 4:1, with a minimum Q of 80 at 4 GHz, and handling up to 20W CW. During phase I, UCSD studied a novel varactor structure to improv ...

    STTR Phase II 2019 Department of DefenseAir Force
  2. Environmentally-Compliant Inorganic Material(s) for Corrosion and/or Wear Protection of Structural Metals on Military Aircraft and Weapon Systems

    SBC: INNOVATIVE TECHNOLOGY INC            Topic: AF15AT31

    The proposed project will focus on qualifying amorphous-iron Particle Reinforced Metal Matrix Composite (PRMMC) coatings as replacements for Electrolytic Hard Chrome (EHC) and HVOF WC- Co wear and corrosion resistant coatings on high-strength steel components. These legacy coatings have been identified on the OSD Emerging Contaminants Watch or Action Lists, and future manufacture and maintenance o ...

    STTR Phase II 2019 Department of DefenseAir Force
  3. 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
  4. 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
  5. CIM-MIAS (Cyber Information Management and Mission Impact Analysis System)

    SBC: MODUS OPERANDI, INC.            Topic: AF18CT002

    The DoD lacks an multi-level security (MLS) cyber information management (CIM) system capable of collecting, sharing and disseminating cyber information containing threats, system vulnerabilities and mission impacts and risks for systems operating at multiple security levels. A system that can securely collect and persist this information from various systems operating at various security levels i ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Learner Engagement and Motivation to Learn Assessment and Monitoring System

    SBC: Design Interactive, Inc.            Topic: AF17AT009

    Training can now be delivered on a large scale through emerging platforms, but training must be engaging to be effectively utilized. Key to providing training that makes a difference in the field is an understanding of how to induce high levels of engagement during learning and the ability to objectively assess engagement in real-time so that interventions can be tailored during training to optimi ...

    STTR Phase II 2019 Department of DefenseAir Force
  7. Virtual Reality for Multi-INT Deep Learning (VR-MDL)

    SBC: INFORMATION SYSTEMS LABORATORIES INC            Topic: AF19AT010

    Recent advances and successes of deep learning neural networks (DLNN) techniques and architectures have been well publicized over the last several years. Voluminous, high-quality and annotated training data, or trial and error in a realistic environment, is required to achieve the promised performance potential of DLNNs. Unfortunately for DoD and/or Intelligence Community (IC) applications of mult ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Multiphysics Modeling of Dynamic Combustion Processes Using Pareto-Efficient Combustion Framework

    SBC: STREAMLINE NUMERICS, INC.            Topic: AF18BT010

    The objective is to develop zonal multi-physics capability for turbulent combustion simulations. The foundation of the proposed work is a novel Pareto-Efficient Combustion (PEC) framework for fidelity-adaptive combustion modeling. The PEC model utilizes a combustion submodel assignment, combining the low-cost flamelet-based models with the more expensive finite rate chemistry models where necessar ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. Semi-Analytic Fresnel Propagation Simulation

    SBC: MZA ASSOCIATES CORPORATION            Topic: AF18BT004

    Wave-optics simulations are critical tools for analysis of laser directed energy systems. The primary method for conducting these simulations is to evaluate the Fresnel diffraction integral using the angular spectrum method based on the fast Fourier transform (FFT). While FFTs are considered computationally efficient, their use in the Fresnel integral results in difficult grid constraints includin ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. 3-D Tracking and Aimpoint Maintenance (3-D TrAM)

    SBC: MZA ASSOCIATES CORPORATION            Topic: AF19AT005

    Target tracking and aimpoint maintenance are critical functions within a laser directed energy system. Traditionally, the optical sensor is a conventional camera viewing an actively illuminated target. In the absence of turbulence, it is still difficult to point the laser weapon to a specific hit spot when there are no features in the required direction. Further, atmospheric turbulence scintillate ...

    STTR Phase I 2019 Department of DefenseAir Force
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