Award Data

To streamline data processing in, e.g., hyperspectral imaging, new massively parallel data processing circuits are needed. The team of MicroXact Inc. and UC Santa Barbara propose to develop circuits based on completely novel computing paradigm, which could be extremely efficient (i.e. dense, relatively inexpensive, and consume very little power) for massively parallel signal processing. We offer t ...

A great deal of research has been done on thin film Carbon Nanotube Transistors. Single Walled Carbon Nanotubes (SWNTs) have exceptional electrical properties, High speed circuits require high carrier mobility, and individual SWNTs have a carrier mobility of up to 120,000 cm2/Vs and can be doped n and p-type. Enriched semiconducting SWNTs (s-SWNTs), narrowed down to individual chiralities provid ...

Prime Research and the University of North Carolina at Charlotte propose to devevelop space-variant nano-optical elements to integrate passive spectral and polarization filters directly into infrared focal plane arrays. This novel technology will enable multi-mode detection by allowing pixels to be uniquely tuned for wavelength and polarization across a focal plane array using a simple fabricatio ...

The goal of the proposed research is to develop advanced computational tool for high-fidelity simulations of hypersonic non-equilibrium plasmas. Octree adaptive Cartesian mesh will be used for automatic mesh generation and dynamic mesh adaptation to plasma properties, particularly important for hypersonic flows with strong shock waves, transient laminar and turbulent domains with large gradients o ...

Accurate and timely surveillance of objects in the near-Earth space environment is becoming increasingly critical to US national security. One of the main difficulties in this domain is efficiently and accurately modeling trajectories of the vast number of objects in orbit around the Earth. The orbital trajectory of a single object is typically modeled as a second-order system of equations which ...

Space surveillance is the component of space situational awareness focused on the detection of resident space objects (RSOs) and the use of multisource data to track and identify space objects. While the propagation of the states of RSOs has been investigated extensively over the last fifty years, the correct propagation of their covariance or the more general (non-Gaussian) probability distribut ...

A mathematical framework for detection and classification of weak, distributed patterns on computer networks is proposed. The framework will provide rigorous methods for understanding performance bounds and optimality of intrusion detection methods, while also providing concrete and implementable algorithms. The algorithms will find immediate application in cyber-security efforts, as well as mor ...

A novel method of fabricating carbon nanotube (CNT) reinforced polymer matrix composites is proposed. It includes growing super-aligned carbon nanotube arrays on a flat substrate, using NCSU proprietary shear pressing method to compress the grown arrays into a layer of densely packed, highly aligned CNTs inclined at an angle of several degrees to the substrate, separating the produced CNT sheet fr ...

This Small Business Technology Transfer Research phase I program will develop a new class of uncooled THz detectors for the 1-10THz band with a novel design using surface plasmon resonant cavities with integrated metal-insulator-metal tunneling diodes as the detecting element. Tunneling diodes provide ultrafast broadband response, potentially into the visible (300THz), but demonstrated performanc ...

The objective of this Phase I project is to evaluate the use of novel Laser Induced Surface Improvement (LISI) techniques to provide surface modification to substrate materials which will provide superior wear resistance in extreme conditions. The specific application of interest is the hypersonic metal-to-metal contact that occurs at high speed test track facilities that can and has lead to catas ...