Skip to main content
Using as much as 50 percent lignin by weight, a new composite material created at ORNL is well suited for use in 3D printing.

Scientists at the Department of Energy’s Oak Ridge National Laboratory have created a recipe for a renewable 3D printing feedstock that could spur a profitable new use for an intractable biorefinery byproduct: lignin.

Omar Demerdash

Attracted to biology, math, and physics as a young student, Omar Demerdash decided that when the time came to narrow his academic interests he wouldn’t pick and choose: he’d pursue them all. Today he’s using his expertise in computational biophysics to model and analyze how molecules interact with p...

Plants in the warmest of several study areas at the SPRUCE experimental site remained green and functional up to six weeks longer than plants growing at ambient temperatures. Credit: Oak Ridge National Laboratory, U.S. Dept. of Energy

A futuristic experiment simulating warmer environmental conditions has shown that peatland vegetation responds to higher temperatures with an earlier and longer growth period.

ORNL Image

For the past six years, some 140 scientists from five institutions have traveled to the Arctic Circle and beyond to gather field data as part of the Department of Energy-sponsored NGEE Arctic project. This article gives insight into how scientists gather the measurements that inform t...

Esther Parish

Esther Parish’s holistic approach to life is apparent not only in her environmental research at Oak Ridge National Laboratory, but in her careful cultivation of a future crop of young scientists. Her expertise as a geographer coupled with a keen interest in the natural world drives Parish’s resea...

Oak Ridge National Laboratory bioinformatics researcher Dan Jacobson plugs AI, deep learning into biosystems.

Dan Jacobson is illuminating the workings of biological systems from the molecular scale up by leveraging Oak Ridge National Laboratory’s supercomputing resources to create machine- and deep-learning techniques more easily understood by humans