Quantum precision reached in modeling molten salt behavior
From decoding plant genomes to modeling microbial behavior, computational biologist Priya Ranjan builds computational tools that turn extensive biological datasets into real-world insights. These tools transform the way scientists ask and answer complex biological questions that advance biotechnology breakthroughs and support cultivation of better crops for energy and food security.
Analyzing massive datasets from nuclear physics experiments can take hours or days to process, but researchers are working to radically reduce that time to mere seconds using special software being developed at the Department of Energy’s Lawrence Berkeley and Oak Ridge national laboratories.
Researchers from ORNL have developed a new application to increase efficiency in memory systems for high performance computing. Rather than allow data to bog down traditional memory systems in supercomputers and impact performance, the team from ORNL, along with researchers from the University of Tennessee, Knoxville, created a framework to manage data more efficiently with memory systems that employ more complex structures.
Massimiliano (Max) Lupo Pasini, an R&D data scientist from ORNL, was awarded the National Energy Research Scientific Computing Center’s High Performance Computing Achievement Award for High Impact Scientific Achievement for his work in “Groundbreaking contributions to scientific machine learning, particularly through the development of HydraGNN.”
Researchers at the Department of Energy’s Oak Ridge National Laboratory are using non-weather data from the nationwide weather radar network to understand how to track non-meteorological events moving through the air for better emergency response.
Californium-252 and actinium-225 generated half of the $5 million in sales for the Department of Energy's National Isotope Data Center at ORNL in fiscal year 2008. That amount represents a $1 million increase from 2007. Californium-252 used as a start-up source in nuclear reactors, in analyzers fo...
Data from NASA's Orbiting Carbon Observatory combined with computational power and tools provided by ORNL researchers will result in unprecedented levels of information about atmospheric carbon dioxide. The satellite, scheduled for launch in mid-January, will collect precise global measurements of C...
The Department of Energy has just released the 27th edition of the Transportation Energy Data Book. The book, available at http://cta.ornl.gov/data/index.shtml, is produced by Stacy Davis of Oak Ridge National Laboratory's Center for Transportation Analysis. New data in thi...
Super-secret encryption systems, personal identification data that cannot be stolen and enhanced sensors are just a few of the applications for a quantum optical chip being developed by Warren Grice and colleagues in the Computing and Computational Sciences Directorate. Their work is part of a new f...
A new data mining tool developed by Forrest Hoffman and colleagues could lead to a better understanding of Earth's climate systems and to more accurate models. Using a novel cluster analysis technique to classify and group data, the researchers are able to take extract and compare relevant patterns ...