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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Alternative Methods for Creating a Sodium Guidestar

    SBC: Arete Associates            Topic: AF17AT005

    Adaptive Optics allow ground-based astronomical observatories to overcome atmospheric distortion limited observation by using natural and artificial guide stars to measure the distortion. Sodium-layer guide stars provide near all-sky coverage for high resolution astronomy. Over the last 20 years, Optically Pumped Semiconductor Laser (OPSL), also referred to as Vertically Extended Cavity Surface Em ...

    STTR Phase II 2019 Department of DefenseAir Force
  2. Electronically Dimmable Eye Protection Devices (EDEPD)

    SBC: Aegis Technologies Group, LLC, The            Topic: AF18BT003

    Electronically dimmable materials with sufficiently strong visible transmission shift, color neutrality, durability and switching speeds have eluded development since the search began nearly half a century ago. We demonstrate the potential for dynamic optical dimming using plasmonic nanostructures with electrodynamic simulations of promising plasmonic metamaterial architectures. In order to achiev ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA)

    SBC: Luminit LLC            Topic: AF18BT004

    To address the U.S. Air Force need for Developing innovative wave-optics Propagation methods to model laser systems that are faster, efficient and more accurate, Luminit, LLC, and University of Southern California (USC) propose to develop Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA). The proposed algorithms will be based on cutting off redundant frequencies upon ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Regional Radio Frequency Attenuation and Interference Monitor (RF-AIM)

    SBC: Silvus Technologies, Inc.            Topic: AF18BT005

    Silvus Technologies and the University of California Los Angeles propose a system design and a rapid development path for the Regional Radio Frequency Attenuation and Interference Monitor, or ‘RF-AIM’. RF-AIM is intended to provide continuous wide area awareness of RF spectrum availability in the presence of arbitrary interference and attenuation from natural or man-made causes. The t ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. 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
  6. 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
  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. 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
  9. 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
  10. 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
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