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.
A prototype data-analysis software developed at Oak Ridge National Laboratory could help track potential terrorist groups by uncovering hidden meaning in the group's written interactions. The method can extract emotional content known as affective meaning from unstructured text documents like blogs,...
A vehicle monitoring study at Oak Ridge National Laboratory could help transform energy-intensive vehicles like transit buses and utility trucks into energy-efficient equipment. ORNL researchers have installed data acquisition and wireless communication systems on several East Tennessee heavy vehic...
Expressed as raw data, a simulation performed on a supercomputer would appear as a formless sea of trillion-floating-operations-per-second calculations. But when the visualization researchers do their work, the results are often as colorful and captivating as they are revealing. Recently researchers...
LandScan's latest edition features improved spatial refinement, especially within urban settings, according to Eddie Bright, one of the developers of the global population distribution model. "For certain areas, very high resolution spatial data - down to individual buildings - are...
Buried in mountains of meteorological and hydrological data are likely clues that could help in predicting floods, hurricanes and other extreme weather events. Through a new multi-institution project that includes the University of Tennessee and the Department of Energy's Oak Ridge National Laborato...