Award Data

Improving our current ability to measure the shape of x-ray focusing mirrors is necessary to advance our knowledge of the atomic structure of many types of materials, especially for the latest diffraction-limited light sources within the DOE. X-ray studies at DOE national laboratories of the atomic structure of new materials, biological molecules, etc. are limited by the quality of the x-ray spot ...

The Exascale Computing Project is tasked to develop the next generation of high performance computing systems capable of computing at 50 to 100 times faster than current HPC systems. Computing at this extreme-scale will significantly enhance the value of materials modeling and simulation to basic materials research and engineering In particular, computing at the extreme scale will enable a higher ...

Computer-aided Engineering software that apply the Finite Element Method to perform a multi-physics analysis have received widespread acceptance for traditional macro-scale material systems. Challenges persist in the modeling of complex coupled processes in environmental/thermal barrier coatings (E/TBCs) used to protect substrate material against the corrosive environment in the hot section parts ...

Electric grids are quickly evolving with advanced monitoring and information management as well as communication through connected devices. Although the number of devices and sensors coming online is increasing exponentially, the same vulnerabilities remain in data integrity at the source and during transport. The overall objectives of this proposal is to design a system to improve grid reliabilit ...

Carbon fiber is fast replacing metal in products used in auto vehicles, aerospace, defense, sports, wind turbines, and other industries primarily due to its strength to lightweight. However, carbon fiber is expensive, energy intensive, brittle, and wasteful. Creating a hybrid bamboo/carbon fiber material should reduce cost, weight, energy use, and waste, while improving reformability, recyclabilit ...

There is a fundamental need for a high-performance computing approach to computational electromagnetics modeling tools suitable for designing and optimizing high-end nanostructures and photonics devices. Complex geometries and material responses to incident electromagnetic fields require a significant level of computational resources, especially when realistic manufacturing tolerances are incorpor ...

Countering Unmanned Aerial Systems (C-UAS) is an ever-increasing challenge due to the variety of threat UAS airframes, materials, propulsion types, and control systems. Further, the control systems in particular are continually evolving which complicates detection, identification, and tracking. A robust and reliable means of completing these steps in the kill chain is required. Even significant te ...

Polaris Sensor Technologies, Inc., presents a program plan (focused on the Phase 1 effort) to address the penultimate goal of “coloring the good guys blue and the bad guys red� using multi-mode aerial imagery of ground targets in the visible and thermal IR coupled with the most advanced Continuous Machine Learning (CML) approaches, techniques, and architectures. CML has many computati ...

The project objective is to develop a software framework for (remote) medical monitoring, diagnostics, and combat casualty care. The proposed framework supports medical wearable Bluetooth sensors, mobile apps, and a centralized medical health server that runs on the (military) cloud. The health server is updated in real time and each wounded warfighter can be monitored from treatment facilities an ...

As the “new space� revolution develops, the number of small satellites is expected to grow to thousands launched each year. Following the current commercial satellite demonstration period, production spacecraft and constellations will depend on innovative micro-scaled propulsion technology to meet mission capability and endurance requirements. Most satellite integrators and end-users ...