Award Data

The main objective of this STTR Phase I effort is two-fold. First, to develop a robust approach for coupling the flow solver Kestrel with the multidisciplinary software tool AERO Suite in order to enable the physics-based modeling and simulation of the dynamics of Aerodynamics Decelerator Systems (ADS) such as parachutes from deployment to terminal velocity or terminal descent and touchdown, and t ...

Because of rising demand for human analysts and more efficient processing of increasingly large and challenging amounts of intelligence, human limitations on mental workload, cognitive fatigue, and attentionor task engagement, need to be accurately monitored in real-time in order to provide sensitive detection of impaired cognitive states. It is a challenge to continuously monitor these cognitive ...

The proposed work aims at detailed investigation of Carbon Nanotube Field-Effect Transistor (CNTFET) device design and its impact on Radio-frequency (RF) circuit performance in comparison to Si-MOSFETs and related circuits at the same channel lengths. The goal is to establish a geometry scalable CNTFET compact model for RF circuit design and determine its parameters based on characteristics from b ...

This project will address the U.S. Air Force needs for single-piece, electronically dimmable eye protection device (EDEPD). In Phase I, InnoSense LLC (ISL) will demonstrate feasibility of the approach by incorporating electrochromic layer on curved polycarbonate substrates. Phase I tests will include optical and physical characterizations regarding transmission range, switching speed, haze, unifor ...

There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terriblemorbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditionalvaccines have proven to be a huge contribution to public health, they do have some limitations especially in the cont ...

The machine learning and artificial intelligence community has recently garnered much attention for ground breaking performance of novel neural network architectures for self-driving cars. One of the machine learning methods used in self-driving cars is semantic segmentation. In this fashion each pixel in an image is label with a class, allowing for contour-based image segmentation which is differ ...

New, innovative laser spectroscopy technology will be developed for performance quantification and combustion characterization in a Rotational Detonation Rocket Engine (RDRE). The effort will push the state of the art in tunable laser absorption spectroscopy to enable fast time response diagnostics of the extreme pressure and temperature conditions of an RDRE.

The overall objective of this effort is to demonstrate that UTSI’s Nanoneedle array technology can be used to develop a material for application to spacecraft to produce passive electron emission in a space plasma environment. It is envisioned that this spacecraft material will be used as a coating placed upon the spacecraft surface, similar to MLI. UTSI has demonstrated that the Nanoneedle ...

Electronically dimmable materials with sufficiently strong visible transmission shift, color neutrality, durability and switching speeds have eluded development since the search began nearly half a century ago. We demonstrate the potential for dynamic optical dimming using plasmonic nanostructures with electrodynamic simulations of promising plasmonic metamaterial architectures. In order to achiev ...

There is a need to develop affordable and specific biosensors to defend against current and future biological threats. Biological methods of detection have been evolved by nature to detect molecules at the micro-scale with flexible specificity and with downstream effectors. Advances in cell-free technology allow for deployment of biosensors on pH-strip-type paper, an affordable, robust, disposable ...