Feature Articles

For the first time in decades, researchers at Idaho National Laboratory are studying how the structure of uranium changes when it is rapidly heated or cooled.

Researchers at the Department of Energy’s (DOE’s) Oak Ridge National Laboratory (ORNL) did to study the SARS-CoV-2 virus that caused the COVID-19 pandemic. The team used neutrons and x-rays to map part of the internal structure of the coronavirus to create an accurate 3-D model. Specifically, the scientists mapped the main protease (Mpro), an enzyme involved in the virus replication, to which they added test inhibitor molecules discovered using high-speed computer screening. One test inhibitor, labeled HL-3-68, demonstrated a superior ability to bind to and inhibit the function of Mpro compared to others that were tested. Details of the study, titled “Structural, electronic and electrostatic determinants for inhibitor binding to subsites S1 and S2 in SARS-CoV-2 main protease,” are published in the Journal of Medicinal Chemistry.

Fundamental research conducted at the $90-million research facility will help the nation meet its clean energy goals.

Two PNNL interns are behind recent innovation in real-time testing and continuous monitoring for pH and the concentration of chemicals of interest in chemical solutions; outcomes have applicability not only to nuclear, but to industries.

Scientists at Brookhaven National Laboratory developed a software toolkit called Wire-Cell that reconstructs and isolates neutrino data in 3D. This software directly enabled the long-awaited results from the MicroBooNE experiment announced today by Fermilab in four complementary analyses. The Wire-Cell team at Brookhaven Lab led one of the four analyses—the most sensitive analysis of the electron-neutrino interaction. Some components of the Wire-Cell toolkit were also used in the other three analyses.

Developed at PNNL, Shear Assisted Processing and Extrusion, or ShAPE™, uses significantly less energy and can deliver components like wire, tubes and bars 10 times faster than conventional extrusion, with no sacrifice in quality.

Sandia National Laboratories has created the first device that is small, energy-efficient and reliable enough to potentially move quantum sensors — sensors that use quantum mechanics to outperform conventional technologies — from the lab into commercial use

Starting October 25, a group of scientists will host a workshop to identify ways to create artificial intelligence-informed models of the Earth’s climate.