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Award Data
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.
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Coupled Cluster Methods for Multi-Reference Applications
SBC: ACES QC, LC Topic: AF09BT40The 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 -
Thermoelectric material-coated carbon nanotubes as high conductivity thermal interface materials
SBC: ADA TECHNOLOGIES, INC. Topic: AF09BT22The 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 -
Modeling Auditory Pattern Recognition and Learning with Gradient Frequency Neural Oscillator Networks
SBC: OSCILLOSCAPE, LLC Topic: AF09BT12This Small Business Technology Transfer research project addresses the perception and learning of complex sound patterns within complex auditory scenes. The objective is to model auditory signal processing, pattern recognition and learning in the human auditory system. Our novel approach simulates the nonlinear signal processing that has been observed in auditory physiology. By mimicking functiona ...
STTR Phase I 2010 Department of DefenseAir Force -
Distributed Pattern Detection and Classification in Sensor Networks
SBC: DCM Research Resources, LLC Topic: AF09BT09In 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 -
Tracking of Resident Space Objects with Covariance Realism
SBC: EMERGENT SPACE TECHNOLOGIES, INC. Topic: AF09BT11Covariance realism and consistency are critical to precision tracking and long-term orbit prediction of resident space objects (RSOs). This proposal tackles the key challenges that would yield realistic state estimation error covariance measures for tracking RSOs with relevant covariance consistency metrics. The anticipated result is a proposed estimation architecture that provides state estimatio ...
STTR Phase I 2010 Department of DefenseAir Force -
Multi-scale Physics-Based Models for High Strength Titanium Alloys Accounting for Higher-Order Microstructure Statistics.
SBC: Global Engineering and Materials, Inc. Topic: AF09BT29The goal of this proposal is to demonstrate the feasibility of new multi-scale models for linking higher order micro-structure descriptions to failure initiation and crack propagation for high cycle fatigue of high strength titanium alloys. This includes new high temperature materials such as the lightweight intermetallic titanium aluminide turbine blades to be used in the lower pressure sections ...
STTR Phase I 2010 Department of DefenseAir Force -
Multi-Scale, Multi-Resolution Network Information Flow Monitoring and Understanding
SBC: Intelligent Automation, Inc. Topic: AF09BT15Communication 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 -
Surface plasmon enhanced tunneling diode detection of THz radiation
SBC: ITN ENERGY SYSTEMS, INC. Topic: AF09BT33This 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 -
Surface plasmon enhanced thin-film photovoltaic systems
SBC: ITN ENERGY SYSTEMS, INC. Topic: AF09BT39This 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 -
VLSI Compatible Silicon-on-Insulator Plasmonic Components
SBC: ITN ENERGY SYSTEMS, INC. Topic: AF08BT18This 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