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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. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. Carbon Nanotube FET Modeling and RF Circuit Simulation

    SBC: ELECTRONICS OF THE FUTURE, INC.            Topic: AF18BT006

    The project will develop and validate a geometry scalable CNTFET compact model for HF circuit design and extract the model parameters from the measured characteristics of the fabricated devices. The ballistic and quasi-ballistic transport, quantum and parasitic effects will be accounted for the predicted performance will be compared to 130 nm RF Si-CMOS to determine the conditions for breaking eve ...

    STTR Phase I 2019 Department of DefenseAir Force
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