Award Data

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 ...

Recent advances in THz-source stability, power and practicality have opened the door for active THz imaging in both commercial and military settings. AEgis is teaming with U Buffalo to develop a THz detection device that utilizes classical rectification effects in semiconductor point contacts (SPCs) to achieve response in the 1 to 10 THz range and is capable of operating at temperatures over 150 K ...

We propose to investigate the feasibility of obtaining fast and accurate trajectories using global geopotential models representing departures from the two-body plus J2 terms. The proposed geopotential formulations and numerical integration methods rely on multi-core processors and the emerging massive parallel capabilities of Graphics Processing Units (GPUs) available to common personal computer ...

The mission of this proposed research is to develop ultracapacitors (also known as electrochemical or supercapacitors) to address an array of military applications. These applications include pulsed power for directed-energy and kinetic-energy weapons, sensors, and power supplies and control systems for aircraft and spacecraft. The proposed innovation employs carbon nanotubes (CNTs) coated with p ...

AEDC personnel have developed and demonstrated the effectiveness of coupling a control volume model with a wind tunnel control system. The performance of the model was hampered because parameters of the model were assumed to be constant, when they are likely variables. A method for using facility data to determine functional relationships defining these parameters would allow them to vary during ...

This 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 ...

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 ...

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 ...

Digital electronics is approaching its limits in meeting the demand for increased processing speeds. Photonics, while promising high processing speed, is lacking integration capacity. Plasmonics promises to combine the information capacity of photonics with the integration density of electronics. The team of Luna Innovations, UCLA and Virginia Tech proposes to develop plasmonic logic devices and c ...

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 ...