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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. Hierarchical, Layout-Aware, Radiation Effects Tools Vertically Integrated into an EDA Design Flow for Rad-Hard by Design

    SBC: RELIABLE MICROSYSTEMS LLC            Topic: DTRA16A003

    The goal of this workis to establish a radiation-aware capability in a commercial EDA design flow that will enable first-pass success in radiation resiliency for DoD ASIC designs in much the same way that existing EDA design suites ensure first pass functionality and performance success of complex ASICs destined for commercial applications.Such an integrated capability does not presently exist.The ...

    STTR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  2. Semantic Parsing and role Labeling In Combination Effort (SPLICE)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: DTRA14B003

    To Counter Weapons of Mass Destruction (CWMD), DTRA must analyze data from numerous sources about a diverse set of technologies and activities. The extreme diversity in content and the volume of DTRAs data combine to produce one of the most challenging analysis problems in the government. The CWMD mission therefore requires deep analysis - an in-depth understanding of all available data and correl ...

    STTR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  3. Advanced Fast Shutter for Debris Mitigation

    SBC: HYPERION TECHNOLOGY GROUP INC            Topic: DTRA143007

    In an effort to development more robust optical system coatings DTRA, in collaboration with Sandia National Labs, is working to characterize the degradation of optical materials for space systems when exposed to high intensely EUV/ cold x-rays. The experiments utilizes the Double Eagle z-pinch facility which generates high current, high voltage arc pinch plasma to produce an intense EUV and cold x ...

    SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  4. Polyoxometalate/Graphene Gas Sensor Coupled with Infrared Motion Detector for Human Proximity Sensor Array

    SBC: INTERNATIONAL SCIENTIFIC TECHNOLOGIES INC            Topic: DTRA143001

    In Topic DTRA143-001, a need has been identified to improve monitoring human presence near containers, stored items, and secured areas in order to monitor activities, particularly in remote locations that are not patrolled all day every day. The use of smart materials to detect human presence by sensing volatile organic compounds emanating from the human body is a major area of interest within th ...

    SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  5. Lithography Cost Reduction for Rad Hard Integrated Circuits

    SBC: SILICON TECHNOLOGIES, INC.            Topic: DTRA143008

    The DoD faces mounting costs for integrated circuits built with advanced technology. Our proposal addresses mixed-signal ASIC design costs and fabrication costs, notably photomask costs and photolithography costs. The ADONIS 1D design methodology has been demonstrated at technologies ranging from 130nm to 16nm. In Phase I of the program, we used ADONIS to design a reference circuit a high-speed c ...

    SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  6. Novel Munition Technologies to Attack and Defeat Weapons of Mass Destruction (WMD)

    SBC: HYPERION TECHNOLOGY GROUP INC            Topic: DTRA143004

    Traditional weapon systems often fail to meet the requirements of close combat typical of the previously discussed engagement, where insurgents often blend in or store weapon amongst friendly or non-combatant forces, to shield them from precision strike munitions of a technologically superior force. This type of warfare has led to an increased focus on the use of less-lethal weapons, to reduce let ...

    SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  7. Additive Manufacturing of All Solid-State Batteries with Novel Electrode Architectures

    SBC: STORAGENERGY TECHNOLOGIES INC            Topic: DTRA172005

    Supercapacitors have attracted considerable recent attentions due to their high-power density, and long cycle life. Unfortunately, the energy density of supercapacitors is too low to meet these applications requiring an energy supply for longer periods (hours or days). Storagenergy Technologies Inc. proposes to develop a superior all solid-state battery (ASSB) fabricated by additive manufacturing ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  8. Hardware-in-the-Loop Scintillation Simulator for MILSATCOM links in a Nuclear Disturbed Communication Environment

    SBC: Echo Ridge, LLC            Topic: DTRA172006

    Echo Ridge proposes to deliver a Hardware-in-the-Loop RF environment emulator with high fidelity scintillation simulation within which propagation models will in real-time accurately simulate a nuclear-disturbed environment for testing MILSATCOM communications links. The emulator will accommodate the attachment of physical devices (MILSATCOM communications link equipment or simulators), and/or mod ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  9. BASALTBiosecurity Assessment using Semantic Analysis of Life-sciences Text

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: DTRA172004

    The BASALT (Biosecurity Assessment using Semantic Analysis of Life sciences Text) system accelerates the process of DURC (Dual Use Research of Concern) review by automatically the detecting of concepts of concern in research proposals. Concepts of concern are statements expressed as phrases, sentences, or even whole paragraphs, that evoke ideas related to the 15 pathogens and 7 experimental catego ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  10. Machine learning for standoff detection of Special Nuclear Material (SNM)

    SBC: CLOSTRA INC            Topic: DTRA162001

    "Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of t ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
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