More than a year ago, ORNL computational scientists raised concerns about the accuracy of using a 2-femtosecond time step in liquid water simulations.
A former intern for ORNL was selected to represent Tennessee presenting his research at the National Junior Science and Humanities Symposium.
Strengthening the competitiveness of the U.S. transportation industry depends on developing domestic EV batteries that combine rapid charging with long-range performance — two goals that often conflict.
Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications.
Stronger than steel and lighter than aluminum, carbon fiber is a staple in aerospace and high-performance vehicles — and now, scientists at ORNL have found a way to make it even stronger.
Using the now-decommissioned Summit supercomputer, researchers at ORNL ran the largest and most accurate molecular dynamics simulations yet of the interface between water and air during a chemical reaction.
Researchers at ORNL have developed an innovative new technique using carbon nanofibers to enhance binding in carbon fiber and other fiber-reinforced polymer composites – an advance likely to improve structural materials for automobiles, airplanes and ot
Massimiliano “Max” Lupo Pasini, a data scientist at the Department of Energy’s Oak Ridge National Laboratory, was named a senior member of the Institute of Electrical and Electronics Engineers, the world’s larges
Members of the Quantum Science Center, or QSC, gathered at an all-hands meeting in Baton Rouge, Louisiana, in mid-May to reflect on the remarkable accomplishments from the past five years and to prepare for what members hope to be the next five years of
Using the Frontier supercomputer, a team of researchers from the Massachusetts Institute of Technology conducted large-scale calculations to chart the isospin density of a neutron star across a range of conditions.