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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 ...

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 ...

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 ...

Our objective is to develop advanced mediator architectures for efficient electron transfer in enzymatic fuel cells (EFCs) for low power systems. The proposed EFC will leverage ongoing research at both CFDRC and Michigan State University to provide a fully-integrated lightweight, low-cost, manufacturable, and renewable power supply, for various military and civilian applications. EFC systems offer ...

Higher efficiency solar cells are needed to reduce solar array mass, volume, and cost for Air Force space missions. Intermediate-band quantum-dot (QD) solar cells can yield dramatically higher efficiencies than current multi-junction (MJ) technologies. However, several issues must be addressed to demonstrate manufacturable, high efficiency devices. CFDRC aims to develop: 1) High-efficiency, ligh ...

This Small Business Technology Transfer Research phase I program will develop a new class of surface plasmon enhanced photovoltaic devices that exhibit increased current collection. Photon management, the manipulation of the incident optical field to increase the probability that a photon is absorbed in the active region of the cell, is critical to the development of next generation thin film sol ...

Modern military and civilian aircraft technologies are pushing the performance envelope through design and use of new advanced materials with superior property combinations. Aircraft powerplant manufacturers are facing intense competition to efficiently deliver ever increasing thrust, while meeting the highest standards of reliability and performance over an expanded service life. These performanc ...