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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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. A Novel, Microscale, Distributable Sensor Technology for Ionizing Radiation

    SBC: CFD Research Corporation            Topic: DTRA14B004

    Terrorist use of radioactive nuclear materials via nuclear and/or radiological dispersion devices (dirty bombs) is a serious threat. Therefore, it is crucial to detect proliferation of nuclear material. Critical challenges include: (a) high sensitivity detection of signature emissions from radioactive isotopes, and (b) cost-effectiveness for deployment of sensor networks across large storage facil ...

    STTR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
  2. Two-color Infrared Laser Arrays for Scene Projection

    SBC: ATTOLLO ENGINEERING, LLC            Topic: A17AT018

    Current scene projection hardware is challenged to simultaneously meet the requirements for high peak temperature (> 2000K), high resolution (> 1Kx1K), response time < 1 ms, cryogenic and temporally uniform photon flux. MEMS, Resistor arrays, liquid crystals, and photonic crystals all suffer in one or more areas. MEMS suffer from flicker and low dynamic range. Resistor arrays suffer from low frame ...

    STTR Phase II 2019 Department of DefenseAir Force
  3. Reconfigurable / cognitive optical communications

    SBC: Vulcan Wireless, Inc.            Topic: AF18AT010

    This proposal will outline a bi-directional software defined Free Space Optics (FSO) laser communications testbed with flexible optical elements and reprogrammable waveform and signal processing elements. Vulcan Wireless Inc. currently manufacturers a 1550nm, eye safe, software defined Laser Communications Testbed MD-LC-1 and will use this as a basis for the Phase 1 effort. We will also be teaming ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Passive Spacecraft Coating

    SBC: Gloyer-Taylor Laboratories Inc.            Topic: AF18AT011

    The overall objective of this effort is to demonstrate that UTSI’s Nanoneedle array technology can be used to develop a material for application to spacecraft to produce passive electron emission in a space plasma environment. It is envisioned that this spacecraft material will be used as a coating placed upon the spacecraft surface, similar to MLI. UTSI has demonstrated that the Nanoneedle ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Nanomaterials-Enabled Electrochromic Eye Protection Device

    SBC: Innosense Llc            Topic: AF18BT003

    This project will address the U.S. Air Force needs for single-piece, electronically dimmable eye protection device (EDEPD). In Phase I, InnoSense LLC (ISL) will demonstrate feasibility of the approach by incorporating electrochromic layer on curved polycarbonate substrates. Phase I tests will include optical and physical characterizations regarding transmission range, switching speed, haze, unifor ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. 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
  7. 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
  8. 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
  9. 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
  10. High Speed High Accuracy Artificial Neural Networks for UAV based Target Identification

    SBC: UHV TECHNOLOGIES, INC.            Topic: AF18BT007

    The machine learning and artificial intelligence community has recently garnered much attention for ground breaking performance of novel neural network architectures for self-driving cars. One of the machine learning methods used in self-driving cars is semantic segmentation. In this fashion each pixel in an image is label with a class, allowing for contour-based image segmentation which is differ ...

    STTR Phase I 2019 Department of DefenseAir Force
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