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Award Data
The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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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Nano-Structured Multi-Mode Detectors
SBC: NanoRods, LLC Topic: AF09BT37We will develop a new infrared (IR) radiation sensor technology, which will allow the development of arrays of a new class of multi-mode thermal microbolometer detector. This technology will allow radiation detection from the near-IR to long-wave IR, a capability that is absent in competing detectors. Amorphous silicon and vanadium dioxide has been the dominant materials used for infrared light ...
STTR Phase I 2010 Department of DefenseAir Force -
Multi-scale Physics-Based Models for alpha-betaTitanium Alloys Accounting for Higher-Order Microstructure Statistics.
SBC: MRL MATERIALS RESOURCES LLC Topic: AF09BT29Modern military and civilian aircraft technologies are pushing the performance envelope through design and use of new advanced materials with superior property combinations. Aircraft powerplant manufacturers are facing intense competition to efficiently deliver ever increasing thrust, while meeting the highest standards of reliability and performance over an expanded service life. These performanc ...
STTR Phase I 2010 Department of DefenseAir Force -
Theoretical Innovations in Combustion Stability Research: Integrated Analysis and Computation
SBC: Kassoy Innovative Science Solutions Topic: AF09BT38Quantitative predictions of reactive flow dynamics from large-scale simulations of Liquid Rocket Engines (LRE) appear to be model dependent. Relationships and coupling among the dominant mechanisms most responsible for destabilization are obscured by the complexities of the model and subtle consequences of inherent ad hoc approximations not supported by mathematical rationale. The reliability of ...
STTR Phase I 2010 Department of DefenseAir Force -
Metal-blacks for plasmonic enhancement of solar-cell efficiency
SBC: Physical Engineering Corporation Topic: AF09BT39This Phase I STTR proposal will demonstrate nanostructured “metal-black” coatings to enhance absorption by thin film solar cells. The problem is that silicon has low absorption due to its indirect gap. The opportunity is that nano-scale metallic scattering centers increase the effective optical path length and enhance the solar electric-field strength in thin-film solar cells, leading to more ...
STTR Phase I 2010 Department of DefenseAir Force -
Information Geometric Network Architecture for Heterogeneous Network Management
SBC: Intelligent Automation, Inc. Topic: AF08T011We present a comprehensive framework for modeling, optimization and design for heterogeneous networks. The proposed solution aims to effectively address the existing limitations inherited from the generalized network utility maximization (GNUM) framework. In general, GNUM is a unifying mathematical model as it combines different objectives and constraints from different layers into a single global ...
STTR Phase II 2010 Department of DefenseAir Force -
Distributed Adaptive Control of Engine Systems
SBC: AURORA FLIGHT SCIENCES CORPORATION Topic: AF08T026Aurora and Georgia Tech"s Phase I efforts demonstrated the feasibility of a partially distributed control scheme with separate controllers on the engine core and fan, where the controllers are linked by a supervisory controller. This scheme is representative of the situation encountered in VTOL UAV design and the design of new turbo-props and variable pitch turbofans by the large commercial gas t ...
STTR Phase II 2010 Department of DefenseAir Force -
Fast Updatable Large-area Holographic Display
SBC: NEW SPAN OPTO-TECHNOLOGY, INC. Topic: AF08T001Two-dimensional (2D) visualization techniques have limit capacity to achieve understanding of full dimensionality of the battlefield. Rewritable 3D holographic storage is promising for updatable 3D display applications. In Phase I, New Span Opto-Technology has demonstrated novel concepts of both holographic recording technique and recording material system without the use of high voltage. We have ...
STTR Phase II 2010 Department of DefenseAir Force -
Standoff Coherent Optical Detection of Acoustic Signals (SCODAS)
SBC: Intelligent Automation, Inc. Topic: AF12BT02ABSTRACT: Detection of clandestine tunnels and underground facilities is a continuing interest of the US DoD and Customs and Border Protection. Research continues in an attempt to find functional and reliable sensing methods, including seismic methods. Dynamic activity in tunnels emits mechanical energy that propagates away in seismic waves. Resulting ground vibrations can be measured at offset d ...
STTR Phase I 2013 Department of DefenseAir Force -
A High Performance and Cost Effective Ultra High Performance Concrete
SBC: i2C Solutions, LLC Topic: AF12BT04ABSTRACT: Adversarial installations, such as those housing the means for nuclear weapons production, are increasingly being constructed in heavily fortified locations and often using ultra high performance concrete (UHPC) as the construction material. As such, the U.S. Air Force has considerable interest in further developments of ultra high performance concrete (UHPC) to maintain an advantage o ...
STTR Phase I 2013 Department of DefenseAir Force -
Innovations in Physical Modeling and Statistical Exploitation of Electromagnetic Target Signatures
SBC: Five Focal LLC Topic: AF12BT06ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...
STTR Phase I 2013 Department of DefenseAir Force