Award Data

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 ...

A goal of Uncertainty Quantification (UQ) is to use computer simulation of complex systems to make scientifically informed assessments for high-consequence decisions. Because end-to-end empirical data is difficult to obtain for the Ballistic Missile Defense System (BMDS), computer simulation provides the best method for understanding BMDS capabilities against a wide range of threats. Numerica Co ...

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 ...

Aegis BMD 5.0 CU will expand and update the Baseline 9 MRBM and IRBM threat set, while Aegis BMD 5.1 will have capabilities against more sophisticated short to intermediate range ballistic missiles. An ability to discriminate this wider set of increasingly sophisticated threats is essential. Technology Service Corporation (TSC) and the Michigan Tech Research Institute (MTRI) propose to identify fe ...

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 ...

Communication networks can be viewed and analyzed as information flows, which can be better understood with practical design guidelines by capturing the complex interactions across essential network properties and tasks. Intelligent Automation Inc. and its subcontractor propose a novel unifying approach for multi-scale, multi-resolution network information flow modeling and analysis. We introduce ...

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 ...

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 ...

This Small Business Technology Transfer Phase I project will develop ultradense, low-power plasmonic integration components and devices for on-chip manipulation and processing of optical signals. Both passive and active components will be studied. Detailed performance predictions will be obtained through finite element modeling (FEM) of the harmonic Maxwell’s equations. The FEM provides detai ...

This Small Business Technology Transfer Research program will develop narrow band plasmonic resonant cavity filters with integrated microbolometer sensors operating in the long wave infrared (LWIR) atmospheric transmission band for IR absorption measurements of low concentration chemicals. IR spectroscopy can identify a wide range of contaminants, including chemical/biological warfare agents, exp ...