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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. Real-Time Frequency-Selective Fading Channel Realization Generator

    SBC: WELKIN SCIENCES, LLC            Topic: DTRA122020

    During Phase I and a first Phase II, Welkin Sciences developed the Channel Realization Generator (CReG) algorithm, an enhanced functional replacement for the ACIRF code intended to be embedded into software link simulations and HWIL fading channel simulators. The proposed second Phase II effort will refine the CReG documentation and its software and firmware implementations. Many in the strategic ...

    SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  2. Optimizing Power Availability and Sustainability in Islanded Sites

    SBC: Physical Optics Corporation            Topic: DTRA152006

    To address the DTRA need for enhanced island-mode operation and strategies for defense critical infrastructure (DCI) in the event of commercial power grid loss or disruption due to an electromagnetic pulse (EMP) or high-power microwaves (HPMs), Physical Optics Corporation (POC) has developed an Optimizing power Availability and Sustainability in Islanded Sites (OASIS) methodology. This solution is ...

    SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  3. DLeN: Deep Learning for standoff detection of Special Nuclear Material

    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 th ...

    SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  4. Bioinformatics: Data Integration for Biomonitoring Applications

    SBC: Arete Associates            Topic: DTRA162002

    Aret Associates and Oak Ridge National Laboratory (ORNL) propose an interdisciplinary effort to further develop and validate a robust, operational biomonitoring application that can process soil microbiome data to reliably detect episodic and low-level chronic contamination while maintaining low false alarm rate.The Phase II SBIR work will build upon the successful Phase I proof-of-concept demonst ...

    SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  5. High Performance Computing (HPC) Application Performance Prediction & Profiling Tools

    SBC: EP ANALYTICS, INC..            Topic: DTRA152003

    EP Analytics Inc. will develop and commercialize a suite of easy-to-use performance profiling and prediction tools for characterizing the performance and energy efficiency of High Fidelity computer codes. DTRA uses High Fidelity codes to investigate weapon effects phenomenology and techniques for countering Weapons of Mass Destruction (WMD). End-to-end High Fidelity simulations in support of the D ...

    SBIR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  6. Measuring Residual Concrete Strength After Penetration and Blast

    SBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP            Topic: DTRA07010

    During Phase I, IFOS demonstrated the feasibility of using embedded optical Fiber Bragg Grating (FBG) sensor networks to measure resistance to penetration (for subsequent weapons) in concrete damaged by a weapon projectile. FBG sensors are well suited for monitoring dynamic strain in concrete structures due to their small size, low cost, ability to be embedded internally or surface mounted; and th ...

    SBIR Phase II 2008 Department of DefenseDefense Threat Reduction Agency
  7. SEE Modeling and Mitigation in Ultra-Deep Submicron Microelectronics

    SBC: MICROELECTRONICS RESEARCH DEVELOPMENT CORPORATION            Topic: DTRA07005

    As technology feature sizes decrease, single event upset (SEU), digital single event transient (DSET), and multiple bit upset (MBU) effects dominate the radiation response of microcircuits. Recent test circuits and test methods have quantified the pulse widths of DSETs generated from heavy-ion strikes on critical microcircuit nodes. These pulse widths have proven to be much larger than previousl ...

    SBIR Phase II 2008 Department of DefenseDefense Threat Reduction Agency
  8. The Characterization and Mitigation of Single Event Effects in Ultra-Deep Submicron (< 90nm) Microelectronics

    SBC: Orora Design Technologies, Inc.            Topic: DTRA07005

    Orora Design Technologies proposes to develop electronic design automation (EDA) tools employing minimally invasive circuit design-based methods to mitigate single event effects (SEEs) for next generation Ultra-DSM CMOS (

    SBIR Phase II 2008 Department of DefenseDefense Threat Reduction Agency
  9. 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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