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 ...

There is significant opportunity for energy efficiency improvements in the industrial and manufacturing sectors in the U.S., both from the production and consumption perspective. Higher energy density battery materials will play a role in both, through improved storage of electricity from renewable sources, the enabling of electric vehicles, and through the development of longer lasting, higher po ...

The objective of the proposed research is to develop a portable, passive system for rapid and efficient blood component separation. While a number of macro-scale devices are routinely employed in laboratory settings to separate, for example, red blood cells (RBCs) from platelet-rich plasma (PRP), and an emerging class of microfabricated devices are slowly being developed to address various low-th ...

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 ...

Thermopile arrays manufactured using integrated process compatible materials and micro-machining will provide high performance with low manufacturing cost. Black Forest Engineering (BFE) teamed with Case Western Reserve University will design thermopiles using silicon based semiconductors and compare performance. Low cost thermopiles, differentially coupled with advanced BFE CMOS readout, will pr ...

This Small Business Technology Transfer Phase I project will develop a new system for fabrication and manipulation of carbon nanotube (CNT) composites. The system will use holographic optical trapping (HOT) with a spatial light modulator (SLM) and a new form of nano-controlled photo-polymerization. This tool will allow the creation of a new class of carbon-nanotube polymer composite materials wit ...

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 ...

Ice crystals can form spontaneously from the freezing of water droplets at temperatures colder than -38

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 ...