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 ...

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 ...

Owing to a unique set of intellectual property and core expertise, this Phase II team, led by Traycer Diagnostic Systems, will build and characterize a packaged, 16x16 terahertz focal plane array (FPA) for broadband video-rate imaging at frequencies up to 1.3 THz. Traycer’s competitive advantage is based on its record-performing detectors, novel antennas, and array architectures that permit a d ...

Aurora 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 ...

ABSTRACT: Aurora Flight Sciences, in collaboration with the Massachusetts Institute of Technology (MIT), proposes to further develop and test in realistic settings an innovative method for representing and managing multidisciplinary design information from a wide range of analysis tools. The practical implication resulting from this novel approach is a mathematical framework to confidently determ ...

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 ...

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 ...

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 ...

Covariance 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 ...