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 ...

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 ...

Structured Materials Industries, Inc. (SMI), working with others have demonstrated functioning fundamental memristor material technology. In this program, working with our University partner and end use collaborators, we propose to provide an infrastructure for making memristor materials at production scales, expand/refine the known memristor materials, provide samples of the produced memristor ma ...

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 ...

The mission of this proposed research is to develop ultracapacitors (also known as electrochemical or supercapacitors) to address an array of military applications. These applications include pulsed power for directed-energy and kinetic-energy weapons, sensors, and power supplies and control systems for aircraft and spacecraft. The proposed innovation employs carbon nanotubes (CNTs) coated with p ...

Using its novel carbon nanosheet technology, Luna Innovations will develop a Supercapacitor with the highest energy densities available in the microsecond to millisecond response times. Nanosheets are vertically aligned graphene sheets that can be grown on a wide variety of substrates without catalyst and have an open, accessible surface area that eliminate the resistance due to pores that cause ...

High energy density capacitors are required for practical implementation of GW-class pulse power loads. In response to this need, TPL has established unique dielectric and capacitor capabilities. Revolutionary materials, designs and manufacturing process have been developed for power sources that have potential for an order of magnitude reduction in mass and volume relative to current commercial ...