Current state-of-the-art neutron radiography reaches the 10-15 micrometer resolution range with high-cost detectors; however, typical resolutions are on the order of no better than 50 micrometers. The proposed development will result in an increased resolution in the 1 micrometer range using less expensive, lower-resolution detectors through the use of a magnified detection system.
Kalyan Perumalla of the Computational Sciences & Engineering Division was selected for "ReveR-SES: Reversible Software Execution Systems," funded by the Office of Advanced Scientific Computing Research.
Perumalla's proposal builds on his unique combination of expertise in reversible software systems and high-end parallel computing. "It is aimed at a paradigm shift in ultra-scale computing, called reversible software execution, which holds new promise in the area of high performance computing," Perumalla said.
His research focuses on the application of novel reversible (anti-) computation methodologies, ultimately aimed at addressing multiple challenges in ultra-scale computing, including energy consumption, performance optimization, fault tolerance and debugging.
Athena S. Sefat of ORNL's Materials Science and Technology Division was selected for "Origin of Superconductivity in Structurally Layered Materials," funded by the Office of Basic Energy Sciences.
The goal of this project is to understand the fundamental mechanisms that produce superconductivity at high temperatures in structurally layered materials.
The work will be focused on materials design and synthesis but will also include significant efforts in theoretical calculations and neutron scattering. Superconducting materials have the potential to impact a variety of energy relevant technologies, including power generation and transmission, p
|Contact: Bill Cabage|
DOE/Oak Ridge National Laboratory