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In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.

Kat Royston

As a teenager, Kat Royston had a lot of questions. Then an advanced-placement class in physics convinced her all the answers were out there.

Postdoctoral researcher Nischal Kafle positions a component for a portable plasma imaging diagnostic device at ORNL in February. The device, a project for ARPA-E, is built of off-the-shelf parts. Credit: Carlos Jones/ORNL

The techniques Theodore Biewer and his colleagues are using to measure whether plasma has the right conditions to create fusion have been around awhile.

microscope lens and lithium battery prototype

The formation of lithium dendrites is still a mystery, but materials engineers study the conditions that enable dendrites and how to stop them.

ORNL-developed cryogenic memory cell circuit designs fabricated onto these small chips by SeeQC, a superconducting technology company, successfully demonstrated read, write and reset memory functions. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy

Scientists at have experimentally demonstrated a novel cryogenic, or low temperature, memory cell circuit design based on coupled arrays of Josephson junctions, a technology that may be faster and more energy efficient than existing memory devices.

Image caption: An ORNL research team lead is developing a universal benchmark for the accuracy and performance of quantum computers based on quantum chemistry simulations. The benchmark will help the community evaluate and develop new quantum processors. (Below left: schematic of one of quantum circuits used to test the RbH molecule. Top left: molecular orbitals used. Top right: actual results obtained using the bottom left circuit for RbH).

Researchers at ORNL have developed a quantum chemistry simulation benchmark to evaluate the performance of quantum devices and guide the development of applications for future quantum computers.

ORNL’s Xiahan Sang unambiguously resolved the atomic structure of MXene, a 2D material promising for energy storage, catalysis and electronic conductivity. Image credit: Oak Ridge National Laboratory, U.S. Dept. of Energy; photographer Carlos Jones

Researchers have long sought electrically conductive materials for economical energy-storage devices. Two-dimensional (2D) ceramics called MXenes are contenders. Unlike most 2D ceramics, MXenes have inherently good conductivity because they are molecular sheets made from the carbides ...