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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. 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
  2. Production of Chemical Reagents for Prompt-Agent-Defeat Weapons

    SBC: NALAS ENGINEERING SERVICES INC            Topic: DTRA14B001

    Nalas Engineering and Johns Hopkins University collaborated in a Phase I STTR program to study reactive mixtures of HI3O8 and nanocomposite fuels previously developed by the Weihs Group. These fuel/oxidizer mixtures are uniquely able to simultaneously produce heat and biocidal iodine gas, a combination designed to destroy biological weapons. The team at Nalas focused on evaluating conditions for p ...

    STTR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  3. 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
  4. Innovative Computational Mitigation of Radiation Effects in Nano-technology Microelectronics

    SBC: Orora Design Technologies, Inc.            Topic: DTRA103002

    Orora Design Technologies, Inc. proposes to develop an innovative computer-aided design (CAD) based methodology and enabling tools for rapid radiation-hardened prototyping and migration of military satellite microelectronics. A key innovative tool to be explored is automated generation and validation of behavioral models for complex analog, digital and mixed-signal circuits, including radiation e ...

    SBIR Phase I 2012 Department of DefenseDefense Threat Reduction Agency
  5. Technologies to Mitigate Radiation Effects in Advanced Nanoscale Microelectronics

    SBC: Orora Design Technologies, Inc.            Topic: DTRA112003

    The goal of this research is to develop electronic design automation (EDA) tools to automate the following three major radiation-hardened-by-design (RHBD) tasks: (1) The capture of RHBD design constraints and design rules for sub-90nm mixed-signal designs in an industry-standard EDA data base, (2) Checking and verifying if a given sub-90nm mixed-signal design satisfies all the RBHD design const ...

    SBIR Phase I 2012 Department of DefenseDefense Threat Reduction Agency
  6. 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
  7. Calculation of Impulse Response Function During Realistic Scenarios

    SBC: NORTHWEST RESEARCH ASSOCIATES, INC.            Topic: DTRA103001

    It is well known that satellite communications and radar signals propagating in the natural ionosphere can be disturbed. It has also been widely reported that the ionosphere is subject to even greater disturbances following nuclear detonations. Hence the design of robust satellite communications and radar systems must take into account the effects of ionospheric disturbances. Radar and communic ...

    SBIR Phase I 2012 Department of DefenseDefense Threat Reduction Agency
  8. Data-Driven Technology Discovery Application

    SBC: Semandex Networks Inc.            Topic: DTRA162005

    Automatically identifying emerging technologies and research trends from the high volume of the worlds scientific publications is of great significance in order to stay ahead of the critical advances that impact the development of new and disruptive technologies. Semandex and Barnstorm will implement a prototype tool, INSIGHT, that will scan large datasets from web content services and perform ana ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
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