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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...

MDF New Hires

Two leaders in US manufacturing innovation, Thomas Kurfess and Scott Smith, are joining the Department of Energy’s Oak Ridge National Laboratory to support its pioneering research in advanced manufacturing.

Researchers 3D printed molds for precasting concrete using the Big Area Additive Manufacturing, or BAAM™, system at DOE’s Manufacturing Demonstration Facility at ORNL. Complex, durable mold designs can be produced in less time than traditional wood or fib

The construction industry may soon benefit from 3D printed molds to make concrete facades, promising lower cost and production time. Researchers at Oak Ridge National Laboratory are evaluating the performance of 3D printed molds used to precast concrete facades in a 42-story buildin...

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