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 ...

The 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 ...

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 ...

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 ...

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 ...

Our team proposes to develop, test, and commercialize a Micro Air Vehicle Tether Recovery APparatus (MAVTRAP). This system operates by deploying an instrumented MAV capture device attached via a tether system from a mothership unmanned air vehicle (UAV). The instrumented MAV capture device contains an integrated avionics suite. Our team will determine and control the precise mother ship UAV loi ...

Communication 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 ...

We 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 ...

High temperature deformation and strain are important measures for characterizing behaviors of structural components under high temperature condition. Measuring full-field, high temperature deformation and strain can lead to a better understanding structural and material response, damage initiation, progressive damage, and ultimately limit state attainment in moderately high temperature material s ...