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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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SBC: POLARIS SENSOR TECHNOLOGIES INC Topic: AF17AT021
Several birds and insects use sky features such as sun, moon or star positions, sky polarization and even forest canopy structures to navigate and maintain heading in day or night conditions. To better understand this ability in insects, a sky projector is needed to allow researchers to project realistic sky images to the insect so that insect response can be studied. Polaris proposes to partner ...STTR Phase I 2017 Department of DefenseAir Force
SBC: MIKE SUTTON CONSULTING INC Topic: AF17AT011
The proposed Small Business Technology Transfer (STTR) Phase I project will determine the technical feasibility and cost-effectiveness of utilizing emerging blended-reality technologies that enable interoperability with LVC simulations to create more effective and comprehensive Battlefield Airmen training environments. The proposed training technologies will be integrated across multiple platforms ...STTR Phase I 2017 Department of DefenseAir Force
SBC: CFD RESEARCH CORPORATION Topic: AF16AT14
The objective of the proposed Phase II effort is to establish fundamental understanding of combustion-physical mechanisms leading to blowout, the critical evaluation of model limitations in predicting these blowout processes and the development of an improved combustion model to enable the prediction of lean blowout (LBO) in swirl-stabilized combustors. For this, high-resolution numerical simulati ...STTR Phase II 2017 Department of DefenseAir Force
SBC: OCEANIT LABORATORIES INC Topic: AF17AT010
Oceanit proposes to develop a flexible broad-band optical device capable of measuring optical properties.STTR Phase I 2017 Department of DefenseAir Force
SBC: MILLENNITEK LLC Topic: A14AT011
Solid oxide fuel cells have long suffered from degradation due to impurities in the fuel and complexities associated with dissimilar materials and high operating temperatures.This degradation lowers the usable cell power output and requires ancillary equipment for fuel sulfur removal and reformation.A unique microstructure for the tubular anode will be produced using a novel freeze-casting techniq ...STTR Phase II 2017 Department of DefenseArmy
Computationally Efficient, Accurate and Uncertainty Characterized Chemical Kinetics for Hydrocarbon FuelsSBC: CFD RESEARCH CORPORATION Topic: AF17AT004
TBDSTTR Phase I 2017 Department of DefenseAir Force
SBC: OASYS, INC. Topic: N17BT032
The Navy seeks technology based on statistical or computational methods to assist in the continued tracking of training performance and proficiency trends as underlying tactical data changes. OASYS, INC. and the ITCS at UAH proposes to exploit the benefits of modeling the underlying cause-effect structure of Navy data, rather than the data itself. This approach makes the model and analytical metho ...STTR Phase I 2017 Department of DefenseNavy
SBC: Third Dimension Technologies LLC Topic: AF16AT07
The Air Force has identified a need for a display agnostic common streaming model for 3D data. Third Dimension Technologies (TDT) and Oak Ridge National Laboratory (ORNL) have formed a consortium to define a 3D streaming model based on open standards for Display Agnostic 3D Streaming (DA3DS). Two factors are driving this need. The first is the dramatic increase in the collection, storage and trans ...STTR Phase II 2017 Department of DefenseAir Force
SBC: NALAS ENGINEERING SERVICES INC Topic: DTRA14B001
Nalas Engineering and Johns Hopkins University collaborated in a Phase I STTR program to study reactive mixtures of HI3O8 and nanocomposite fuels previously developed by the Weihs Group. These fuel/oxidizer mixtures are uniquely able to simultaneously produce heat and biocidal iodine gas, a combination designed to destroy biological weapons. The team at Nalas focused on evaluating conditions for p ...STTR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
SBC: Metrum Research Group LLC Topic: N16AT016
We are developing a platform for pharmacometric data analysis workflow that is much more flexible and efficient than anything else on the market. This will be accomplished by (1) developing new functions within Stan, a widely used, open-source, probabilistic programming language and Bayesian inference engine, for computationally efficient data analysis using complex differential equation models, ( ...STTR Phase II 2017 Department of DefenseNavy