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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...

Philip Bingham

Philip Bingham has two pieces of advice for researchers new to Oak Ridge National Laboratory: (1) develop a skill set that can be applied to multiple research areas, and (2) get out and meet folks across the lab. “The favorite part of my work is that I’ve done a lot of very diffe...

The sensors measure parameters like temperature, chemicals and electric grid elements for industrial and electrical applications. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy

Brixon, Inc., has exclusively licensed a multiparameter sensor technology from the Department of Energy’s Oak Ridge National Laboratory. The integrated platform uses various sensors that measure physical and environmental parameters and respond to standard security applications.

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