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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. Memory Instrumentation and Performance Simulation (MIPS)

    SBC: ATC-NY INC            Topic: DTRA172003

    Next-generation high-performance computing (HPC) hardware, such as the Intel Xeon Phi Knights Landing Many-Integrated-Core processor, provide new deep memory architectures that offer the promise of increased performance. The challenge in taking full advantage of this architecture is selecting which data structures will be placed in the high-bandwidth memory. Optimizing data structure placement in ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  2. Low-Cost Sensing Array for Infrasound

    SBC: CREARE LLC            Topic: DTRA172001

    Infrasound and seismic measurements are used by DTRA and the DoD for nuclear test monitoring, terrorist blast forensics, battle damage assessment, and environmental monitoring. However, these long wavelength physical signals are typically recorded through single-point sensors or sparse low density arrays. As a result, the critical signals of interest are often corrupted or masked by noise or inter ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  3. A Robust, Machine Independent, Software Toolkit for Topology Aware Process Mapping on Distributed Memory HPC Architectures

    SBC: CONTINUUM DYNAMICS INC            Topic: DTRA172002

    A significant performance gap exists between the theoretical number of Floating Point Operations (FLOPS) that a HPC machine is capable of sustaining and the number of FLOPS realized by real-world HPC applications. One of the principle reasons for this gap is the parasitic work that computational processes must do to communicate with one another. It has been shown that this communication work can b ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  4. 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
  5. Archimedes: Automated invention for threat anticipation

    SBC: ATC-NY INC            Topic: DTRA162005

    "Anticipating future acts of creativity by our adversaries is very difficult. Yet, to avoid being blindsided by surprising new forms of WMD enabled by technology trends and scientific advances, DTRA must concern itself with exactly such future inventions. ATC-NY will develop the Archimedes system to give the DTRA an early heads up about anticipated technology, and scientific discoveries with po ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  6. 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
  7. 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
  8. 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
  9. 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
  10. Novel Methods to Measure Penetrator Dynamics in Multi-Layer Geometries

    SBC: Thornton Tomasetti, Inc.            Topic: DTRA07011

    In Phase I of this effort we analyzed the structural response of a BLU 109 during typical penetration events. Based on these finite element results, we proposed and demsonstrated a simple robust concept for a passive penetrator sensor that identifies the material being penetrated and also correlates strongly with its underground trajectory. Such a sensor would obviously provide valuable informatio ...

    SBIR Phase II 2008 Department of DefenseDefense Threat Reduction Agency
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