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ORNL researchers are developing a method to print low-cost, high-fidelity, customizable sensors for monitoring power grid equipment. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.

The Roane State Community College associates are (from left) Jeff Manning, Chris Zerr, Bruce Lester, Joe Pyle, Darrell Roddy and Rusty Dryman.

Bruce Lester has had a lot of jobs: fisherman, horse trainer, “professional stair builder.” He last worked for a real estate company, surveying land using geographic software. “When the bottom fell out of the construction industry and the company downsized, I got laid off,” 

Default image of ORNL entry sign
Researchers at the Department of Energy’s Oak Ridge National Laboratory have developed a population distribution model that provides unprecedented county-level predictions of where people will live in the U.S. in the coming decades.