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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. Thermoelectric material-coated carbon nanotubes as high conductivity thermal interface materials

    SBC: ADA TECHNOLOGIES, INC.            Topic: AF09BT22

    The ever-decreasing size of the electronic microchips and the ever-increasing density of electronic components required to support future Air Force platforms are creating the problem of substantial localized heat generation that can impair component operation. State of the art thermal interface materials (TIMs), that are used to dissipate heat from the source to the spreader in a microchip, are se ...

    STTR Phase I 2010 Department of DefenseAir Force
  2. Hybrid Carbon-Metal Nanowires Mediating Direct Electron Transfer from Redox Enzyme to Electrode

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: AF09BT03

    The electron transferring unit of enzymes – apoenzyme and cofactor are deeply buried inside its protein structure, therefore efficient electronic communication between the electrode and the biocatalytic enzyme is inefficient. The development of a reproducible approach that allows efficient electronic connection between enzymes and electrodes would meet the major technical needs in the developmen ...

    STTR Phase I 2010 Department of DefenseAir Force
  3. Coupled Cluster Methods for Multi-Reference Applications

    SBC: ACES QC, LC            Topic: AF09BT40

    The objective of Phase I is to identify the strengths and weaknesses of the various multi-reference coupled-cluster (MRCC) methods that have been proposed for the description of molecular states depending upon near degeneracies and non-dynamic electron correlation. Such effects are encountered in bond breaking, at transition states, for complex open shell systems like transition metal atoms, and f ...

    STTR Phase I 2010 Department of DefenseAir Force
  4. A Multi-Modal State and Measurement Filter for RSO Tracking

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: AF09BT11

    Joint Space Operations Center under the United States Strategic Command employs a worldwide network of 29 sensors, known as the Space Surveillance Network (SSN), to track more than 17,000 man-made objects in Earth orbit with sizes 10 centimeters or larger. Decisive Analytics Corporation and the University of Texas Austin Center for Space Research propose an innovate framework for solving stochast ...

    STTR Phase I 2010 Department of DefenseAir Force
  5. Coupled Cluster Theory (CCT)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: AF09BT40

    Single-reference coupled cluster (SRCC) methods have revolutionized our ability to accurately predict molecular energies and properties. As new developments in theory and computer science extend the application of SRCC methods to larger and larger systems, advancements in coupled cluster methods for studying multi-reference systems have lagged far behind. DECISIVE ANALYTICS Corporation has teame ...

    STTR Phase I 2010 Department of DefenseAir Force
  6. Distributed Pattern Detection and Classification in Sensor Networks

    SBC: DCM Research Resources, LLC            Topic: AF09BT09

    In this proposal, DCM Research Resources (DCM), LLC, and Syracuse University propose a highly innovative distributed pattern detection and classification approach, called Compressive Sensing aided Sequential Pattern Detection and Classification (CSASPDC) in Distributed Sensor Network. Our goal is to develop sophisticated approaches that can effectively detect or classify very weak distributed patt ...

    STTR Phase I 2010 Department of DefenseAir Force
  7. Multi-Scale, Multi-Resolution Network Information Flow Monitoring and Understanding

    SBC: Intelligent Automation, Inc.            Topic: AF09BT15

    Communication networks can be viewed and analyzed as information flows, which can be better understood with practical design guidelines by capturing the complex interactions across essential network properties and tasks. Intelligent Automation Inc. and its subcontractor propose a novel unifying approach for multi-scale, multi-resolution network information flow modeling and analysis. We introduce ...

    STTR Phase I 2010 Department of DefenseAir Force
  8. Surface plasmon enhanced tunneling diode detection of THz radiation

    SBC: ITN ENERGY SYSTEMS, INC.            Topic: AF09BT33

    This Small Business Technology Transfer Research phase I program will develop a new class of uncooled THz detectors for the 1-10THz band with a novel design using surface plasmon resonant cavities with integrated metal-insulator-metal tunneling diodes as the detecting element. Tunneling diodes provide ultrafast broadband response, potentially into the visible (300THz), but demonstrated performanc ...

    STTR Phase I 2010 Department of DefenseAir Force
  9. Surface plasmon enhanced thin-film photovoltaic systems

    SBC: ITN ENERGY SYSTEMS, INC.            Topic: AF09BT39

    This Small Business Technology Transfer Research phase I program will develop a new class of surface plasmon enhanced photovoltaic devices that exhibit increased current collection. Photon management, the manipulation of the incident optical field to increase the probability that a photon is absorbed in the active region of the cell, is critical to the development of next generation thin film sol ...

    STTR Phase I 2010 Department of DefenseAir Force
  10. VLSI Compatible Silicon-on-Insulator Plasmonic Components

    SBC: ITN ENERGY SYSTEMS, INC.            Topic: AF08BT18

    This Small Business Technology Transfer Phase I project will develop ultradense, low-power plasmonic integration components and devices for on-chip manipulation and processing of optical signals. Both passive and active components will be studied. Detailed performance predictions will be obtained through finite element modeling (FEM) of the harmonic Maxwell’s equations. The FEM provides detai ...

    STTR Phase I 2010 Department of DefenseAir Force
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