Updated software improves slicing for large-format 3D printing
For ORNL environmental scientist and lover of the outdoors John Field, work in ecosystem modeling is a profession with tangible impacts.
As a metabolic engineer at Oak Ridge National Laboratory, Adam Guss modifies microbes to perform the diverse processes needed to make sustainable biofuels and bioproducts.
In a step toward increasing the cost-effectiveness of renewable biofuels and bioproducts, scientists at ORNL discovered a microbial enzyme that degrades tough-to-break bonds in lignin, a waste product of biorefineries.
Scientists at ORNL have discovered a single gene that simultaneously boosts plant growth and tolerance for stresses such as drought and salt, all while tackling the root cause of climate change by enabling plants to pull more carbon dioxide from the atmosphere.
Esther Parish is one of eight scientists from the Department of Energy's Oak Ridge National Laboratory talking to students in nine schools across East Tennessee as part of National Environmental Education Week, or EE Week.
To better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.
Popular wisdom holds tall, fast-growing trees are best for biomass, but new research by two U.S. Department of Energy national laboratories reveals that is only part of the equation.
The combination of bioenergy with carbon capture and storage could cost-effectively sequester hundreds of millions of metric tons per year of carbon dioxide in the United States, making it a competitive solution for carbon management, according to a new analysis by ORNL scientists.
Kübra Yeter-Aydeniz, a postdoctoral researcher, was recently named the Turkish Women in Science group’s “Scientist of the Week.”
Researchers at ORNL used quantum optics to advance state-of-the-art microscopy and illuminate a path to detecting material properties with greater sensitivity than is possible with traditional tools.