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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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.

  1. Carbon Nanotube FET Modeling and RF circuits

    SBC: Carbon Technology, Inc.            Topic: AF18BT006

    The proposed work aims at detailed investigation of Carbon Nanotube Field-Effect Transistor (CNTFET) device design and its impact on Radio-frequency (RF) circuit performance in comparison to Si-MOSFETs and related circuits at the same channel lengths. The goal is to establish a geometry scalable CNTFET compact model for RF circuit design and determine its parameters based on characteristics from b ...

    STTR Phase I 2019 Department of DefenseAir Force
  2. 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
  3. Vibration imaging for the characterization of extended, non-cooperative targets

    SBC: Guidestar Optical Systems, Inc.            Topic: AF19AT006

    Locating objects that vibrate is a way to discern potential threats and locate targets. However, current vibrometry technology typically measures only the global vibration of target and cannot create an extended spatial measurement of the vibration profile of the target. These solutions cannot identify what the target is, nor can they locate potential weak spots on the target, because they lack sp ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. 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
  5. High Energy, Safe, and Long-Life Next Generation Batteries Using Liquefied Gas Electrolytes

    SBC: SOUTH 8 TECHNOLOGIES, INC.            Topic: AF19AT014

    The team at South 8 Technologies is the first to develop a novel and patented Liquefied Gas Electrolyte chemistry for rechargeable lithium metal batteries which meets these Air Force requirements. The proposed non-hazardous chemistry has already demonstrated world-record performance on the lithium metal anode (99.9% plating/stripping efficiency over hundreds of cycles) while maintaining high perfo ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Tunable bioinspired spatially-varying random photonic crystals

    SBC: Electro Magnetic Applications, Inc.            Topic: AF19AT017

    Metamaterials and photonic crystals are engineered composites that exhibit novel and interesting properties not found using ordinary materials. They have been shown to allow extraordinary control over the electromagnetic field, including molding the flow of energy, amplitude profile of the field, phase of the waves, intermodal coupling, and more. To achieve such control, a set of tools and procedu ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. Eliminating Ransomware Attacks with Program Access Control (PAC)

    SBC: MARC PEREZ            Topic: AF19BT001

    In the wake of ransomware reaching epidemic proportions and the current anti-ransomware products’ inability to stop its march, there is a great deal of urgency in creating effective countermeasures. Our proposal is to design and subsequently develop a technology called Program Access Control (PAC), that can positively protect data on both consumer and enterprise systems. If successfully dep ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: Exosonic, Inc.            Topic: AF19BT001

    Exosonic is developing a quiet Mach 1.8, 4500 nmi range supersonic civil aircraft that uses aerodynamic shaping techniques to mute its sonic boom. Exosonic is teamed up with Stanford University Prof. Juan Alonso's Aerospace Design Lab to apply the lab's low boom shape optimization tools to design this aircraft to meet future low-boom regulatory standards. The aircraft's primary customers are comme ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: OmniScience LLC            Topic: AF19BT001

    This proposed Phase I STTR effort will be a collaboration between OmniScience LLC and the University of Colorado Colorado Springs (UCCS) Vision and Security Technology (VAST) Lab. The primary objective of this Phase I effort is to demonstrate feasibility of a brain computer interface (BCI) controller for augmented/virtual reality (AR/VR) and conventional screen displays, referred to herein as an A ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. Integrated Quantum Systems Design and Fabrication Technology

    SBC: Guided Particle Systems Inc.            Topic: AF19BT001

    Our proposal is focused on determining the need and feasibility for integrated quantum systems design and fabrication technologies to enable rapid research and development prototyping, and subsequent production, and an industrial base for integrated quantum machines and systems. We focus on the problem of field-able quantum systems for communication networks to support the Air Force as a use case ...

    STTR Phase I 2019 Department of DefenseAir Force
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