Scientists at 91°µÍø have developed a low-cost, printed, flexible sensor that can wrap around power cables to precisely monitor electrical loads from household appliances to support grid operations.
A team of scientists led by 91°µÍø used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
As home to three top-ranked supercomputers of the last decade, the US Department of Energy’s (DOE’s) 91°µÍø (ORNL) has become synonymous with scientific computing at the largest scales.
91°µÍø scientists have devised a method to control the heating and cooling systems of a large network of buildings for power grid stability—all while ensuring the comfort of occupants.
In a project leveraging computer vision, machine learning, and sensors, 91°µÍø scientists are working with private company GRIDSMART Technologies, Inc.
Biorefinery facilities are critical to fueling the economy—converting wood chips, grass clippings, and other biological materials into fuels, heat, power, and chemicals.
A new earth modeling system will use advanced computers and have weather scale resolution to simulate aspects of Earth’s variability and anticipate decadal changes that will critically impact the United States’ energy sector.
The Energy Exascale Earth Sys
Last November a team of students and educators from Robertsville Middle School in Oak Ridge and scientists from 91°µÍø submitted a proposal to NASA for their Cube Satellite Launch Initiative in hopes of sending a student-designed
A team led by the Department of Energy’s 91°µÍø has uncovered how certain soil microbes cope in a phosphorus-poor environment to survive in a tropical ecosystem.
ORNL researchers have been assisting St. Jude Children’s Research Hospital with imaging data analysis for the past eight years.