Award Data

Sciperio with team members Georgia Institute of Technology and Centecorp have teamed up to develop an Additive Manufacturing Composite using nano and micro fillers. The team will develop multi-scale models that are supported by experimental characterization for advanced 3D Printable materials. Inelastic response of high strength hierarchical structures composed of engineered materials and specif ...

Accurate real-time waterborne pathogen detection is of paramount importance to security of U.S. military forces and installations. Fieldable high-throughput pathogen concentration is a critical analytical need for enhanced detection performance. Existing concentration methods are time-consuming, bulky, labor-intensive, power- and reagent-hungry, and consequently ill-suited for battlefield deployme ...

The project will remove a key difficulty that currently hampers many existing methods for computing unsteady electromagnetic waves on unbounded regions. Numerical accuracy and/or stability may deteriorate over long times due to the treatment of artificial outer boundaries. We propose to develop a universal algorithm and software that will correct this problem by employing the Huygens'principl ...

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 ...

Chemical agents in aerosol form have been identified as a major threat, and there is now interest in applying the long wave infrared frequency agile laser sensor to detection of this important agent form. If successful, it would be possible to perform detection of chemical agent vapors and aerosols and biological aerosol agents with a single dual-use sensor. To accomplish this, it is critical to ...

Within this STTR program, Carbonics will partner with USC to commercialize CNTFET based transistor technology that is compatible with wafer-scale monolithic integration process flows whilst offering exceptional performance at mm-Wave frequencies that can outperform incumbent semiconductor high frequency technologies (GaAs, SiGe, RF-CMOS).

In this project, we propose to develop a high-performance carbon nanotube (CNT) based millimeter-wave transistor technology and demonstrate monolithic millimeter-wave integrated circuits (MMICs) based on this technology with improved power efficiency, linearity, noise and dynamic range performance over existing GaAs, SiGe and RF-CMOS technologies. The goal of this topic is to leverage Professor St ...

This program will create 40 Gbps VCSEL-based micro-transceiver (uTRX) components that operate reliably over the standard military temperature range of -55°C to 125°C in Army environments. uTRXs are low-cost, compact components that can be assembled into the PCB in close proximity to high-performance ASICs using conventional solder-reflow"pick-and-place"assembly. The small PCB footprint and sol ...

Vector Atomic will develop precision, ultra-low noise laser control electronics with low cost, size, weight, and power (C-SWaP). The electronics will be designed to broadly support the various laser types of used for quantum technology, which span 369-1550 nm. The C-SWaP and system architecture will support scaling of quantum systems to higher laser counts. The design will also include essential f ...

The goal of the proposed work is to develop simulation and analysis model based on cognitive task analysis for cyber situation awareness, for human-in-the-loop testing and training. Cognitive task analysis technique is a prominent approach that captures knowledge representation used by experts to perform complex tasks. It provides a comprehensive vulnerability assessment using cognitive metrics t ...