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 ...

The proposed research program focuses on design, fabrication, and characterization of quantum-dot infrared photodetectors (QDIPs) which features bias-tunable parameters, including the spectral response, optical gain, and operating time. Wide variations of detector parameters can be realized through the bias-tunable potential barriers surrounding quantum dots. Changes in bias will transform the ba ...

Impact Technologies, in collaboration with the Georgia Institute of Technology, the Rochester Institute of Technology and the Boeing Company, is proposing to complete the development, testing and evaluation of a novel biologically-inspired Micro Air Vehicle (MAV) conceptualized in Phase I and capable of agile and high endurance flight operations in dense and cluttered urban environments. Phase I a ...

In this Small Business Technology Transfer Program (STTR) - Phase II project we will build photonic integrated circuits that perform flip-flop and optical switching operations on silicon platform. These circuits are based on our Phase I work where we have established the feasibility of using coupled microdisk resonators and active waveguides coupled to a single microring resonator to realize bista ...

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 ...