Award Data

ABSTRACT: Existing machine learning algorithms have difficulty using all available data about a problem. This STTR will develop a new algorithm that can make full use of all available data, whether that data is labeled or not, and even when some data types or data resolutions are not available during operation. BENEFIT: This STTR will develop a novel machine learning algorithm for reasoning abo ...

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 ...

Aerosol Jet printing is proposed as a method for printing large area, CNT-based transistor arrays on flexible substrate. The teaming relationship combines expertise in high resolution printing along with device and materials expertise. All semiconductor, dielectric, and conductive materials comprising the TFTs will be solution processed and printed with a single machine. This will lead to a cos ...

ABSTRACT: Adversarial installations, such as those housing the means for nuclear weapons production, are increasingly being constructed in heavily fortified locations and often using ultra high performance concrete (UHPC) as the construction material. As such, the U.S. Air Force has considerable interest in further developments of ultra high performance concrete (UHPC) to maintain an advantage o ...

Joint Space Operations Center under the United States Strategic Command employs a worldwide network of 29 sensors, known as the Space Surveillance Network (SSN), to track more than 17,000 man-made objects in Earth orbit with sizes 10 centimeters or larger. Decisive Analytics Corporation and the University of Texas Austin Center for Space Research propose an innovate framework for solving stochast ...

The objective of this proposal is to demonstrate the feasibility of producing an automated delayering and imaging system with end point detection, material density detection with built in neural network error correction. This process, coined fast Automated Delayering-Image Capture System (ADICS) leverages off of the existing Pix2Net which is a proven automated imaging 3D microchip reconstruction ...

The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...

The project will develop and validate a geometry scalable CNTFET compact model for HF circuit design and extract the model parameters from the measured characteristics of the fabricated devices. The ballistic and quasi-ballistic transport, quantum and parasitic effects will be accounted for the predicted performance will be compared to 130 nm RF Si-CMOS to determine the conditions for breaking eve ...

The DoD lacks an multi-level security (MLS) cyber information management (CIM) system capable of collecting, sharing and disseminating cyber information containing threats, system vulnerabilities and mission impacts and risks for systems operating at multiple security levels. A system that can securely collect and persist this information from various systems operating at various security levels i ...

The proposed research and technical objectives in this project deal with computerized automatic delayering and polishing system that would be applicable to both commercial and government semiconductor device research and development with applications including Failure Analysis (FA), Fault Isolation (FI), and Reverse Engineering (RE) of semiconductor microelectronic devices. This project could hel ...