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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. Microelectronics Component Adhesive Selection and Design Rules for Failure Avoidance

    SBC: CFD RESEARCH CORPORATION            Topic: MDA14T002

    Thermally induced fatigue and residual stress introduced during fabrication are sources of stress related failure in microelectronics, which raises concerns about product reliability and specification. CFDRC has teamed with experts in the reliability of microelectronics packaging to develop a testing and physics based modeling protocol to correlate material properties and thermal loading conditio ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  2. Base Metal Electrode Capacitor Test Methods

    SBC: FUNDO SCIENCE CORPORATION            Topic: MDA14T003

    Miniaturized base metal electrodes (BME) multilayer ceramic capacitors (MLCC) are of great interest for future missile applications as designers are striving to achieve smaller, lighter, cheaper, faster and better electronic assemblies without sacrificing long-term performance. Unfortunately, screening, reliability and qualifications criteria are either not available or not standardized. In the ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  3. Failure Avoidance in Microelectronics through Coefficient of Thermal Expansion (CTE) Mismatch Modeling and Design

    SBC: Space Micro Inc.            Topic: MDA14T002

    Space Micro will develop the core of the decision support system, assemble the models and material properties and demonstrate the utility of the program in materials selection on a subset of failures related to a specific test-bed, which will be the attachment of quad-flat no-leads (QFN) and ball grid array (BGA) devices to printed wiring boards using different solders, underfills, QFN or BGA geom ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  4. 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 critical to detect the proliferation of nuclear material. Critical challenges facing this objective include: (a) high sensitivity detection of signature emissions (e.g., gamma rays) from common radioactive isotopes behind shielding, and (b) cost-effe ...

    STTR Phase I 2015 Department of DefenseDefense Threat Reduction Agency
  5. Development of powder bed printing (3DP) for rapid and flexible fabrication of energetic material payloads and munitions

    SBC: MAKEL ENGINEERING, INC.            Topic: DTRA16A001

    This program will demonstrate how additive manufacturing technologies can be used with reactive and high energy materials to create rapid and flexible fabrication of payload and munitions. Our primary approach to this problem will be to use powder bed binder printing techniques to print reactive structures. The anticipated feedstock will consist of composite particles containing all reactant spe ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  6. Fully Metallic Self-Fragmenting Structural Reactive Materials Using Composites and Alloys Comprised of Aluminum, Lithium, and Magnesium

    SBC: Adranos Energetics LLC            Topic: DTRA16A002

    While aluminum casing materials provide some enhanced performance and thermal loading to explosive ordinance, their overall effectiveness is highly limited by incomplete combustion and long residence times. In order to reduce these problems, the casing material must be designed to facilitate rapid fragmentation through either specialized casing geometries or greatly refined initial particle sizes. ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  7. Innovative Mitigation of Radiation Effects in Advanced Technology Nodes

    SBC: RELIABLE MICROSYSTEMS LLC            Topic: DTRA16A003

    Establish a radiation-aware analysis capability in a commercial EDA design flow that will enable first-pass success in radiation-hardened by design (RHBD) for DoD ASICs in much the same way that existing EDA design suites ensure first pass functionality and performance success of complex ASICs destined for commercial applications. Layout-aware, calibrated single-event radiation models that captur ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  8. Modular Pulse Charger and Laser Triggering System for Large-Scale EMP and HPM Applications

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC.            Topic: DTRA16A004

    For effective protection against EMP and HPM threats, it is important to understand the physics of the threats, and also to quantify the effects they have on electrical systems. EMP and HPM vulnerability testing requires delivery of high peak power and electric fields to distant targets. The most practical solution to simulate such environments is to develop a modular, optically-isolated MV-antenn ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  9. Interactive Sensor Fusion for Context-Aware Discrimination

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: MDA15T001

    We propose a novel computational framework for discrimination that incorporates sensor data from observations of the engagement and from kill assessment (KA) that such sensors can provide. The KA information is combined with data from other sensors to improve the discrimination decision and to reduce the probability of correlated shots. Approved for Public Release 16-MDA-8620 (1 April 16)

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  10. Robust Classification through Deep Learning and Dynamic Multi-Entity Bayesian Reasoning

    SBC: EXOANALYTIC SOLUTIONS INC            Topic: MDA15T001

    Missile defense faces the challenges of rapidly maturing and evolving complex threats, possessing capabilities which require the use of all available resources to successfully detect, track and identify the lethal objects. Future performance will rely on multiple sensors such as ground and sea based radars and electro-optical and infrared sensors for target recognition. It is crucial to develop a ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
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