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Researchers at ORNL and the University of Tennessee developed an automated workflow that combines chemical robotics and machine learning to speed the search for stable perovskites. Credit: Jaimee Janiga/ORNL, U.S. Dept of Energy

Researchers at the Department of Energy’s Oak Ridge National Laboratory and the University of Tennessee are automating the search for new materials to advance solar energy technologies.

The researchers embedded a programmable model into a D-Wave quantum computer chip. Credit: D-Wave

Since the 1930s, scientists have been using particle accelerators to gain insights into the structure of matter and the laws of physics that govern our world.

Oscar Martinez loads a special form capsule into the leak tester for a helium leak test in the packaging facility of the National Transportation Research Center. Credit: Jason Richards/ORNL, U.S. Dept. of Energy

As program manager for the Department of Energy’s Oak Ridge National Laboratory’s Package Testing Program, Oscar Martinez enjoys finding and fixing technical issues.