ORNL brings big science to address the climate challenge

Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time. Oak Ridge National Laboratory, the largest Department of Energy science and energy laboratory in the country, is deeply invested in the big science capabilities and expertise needed to address the climate challenge on multiple fronts.


Imaging — Lithium light bright

Oak Ridge National Laboratory researchers demonstrated an electron microscopy technique for imaging lithium in energy storage materials, such as lithium ion batteries, at the atomic scale.

The properties of energy storage materials stem directly from their atomic structures, which are only visible using electron microscopy. Today's advanced electron microscopes are able to image heavy elements at atomic resolution. One challenge is simultaneously observing light elements including lithium, sodium and potassium, which are essential for modern batteries.


Team simulates collider physics on quantum computer

awrence Berkeley National Laboratory physicists Christian Bauer, Marat Freytsis and Benjamin Nachman have leveraged an IBM Q quantum computer through the Oak Ridge Leadership Computing Facility’s Quantum Computing User Program to capture part of a calculation of two protons colliding. The calculation can show the probability that an outgoing particle will emit additional particles.


Andrew Sutton: Exploring carbon sources through fundamental chemistry

When Andrew Sutton arrived at Oak Ridge National Laboratory in late 2020, he knew the move would be significant in more ways than just a change in location. The chemist was leaving Los Alamos National Laboratory and New Mexico, his home base for the past decade, to join ORNL’s recently formed Manufacturing Science Division and lead the new Chemical Process Scale-Up Group.


Retro technique advances modern bacterial engineering for bioenergy
  • ORNL scientists created a new microbial trait mapping process that improves on classical protoplast fusion techniques to identify the genes that trigger desirable genetic traits like improved biomass processing.