Five ORNL scientists to receive DOE Early Career Research awards

The Department of Energy’s Office of Science has selected five Oak Ridge National Laboratory scientists for Early Career Research Program awards.

The program, now in its twelfth year, provides support to exceptional researchers during their early career years, when many scientists do their most formative work, in scientific fields critical to the Office of Science’s mission.

Carly Hansen: Identifying hydropower potential


Carly Hansen, a water resources engineer at Oak Ridge National Laboratory, is rethinking what’s possible for hydropower in the United States.

Using her skills in engineering, remote sensing and data science, Hansen asks big questions about new hydropower development and what role this unique power source might play in accelerating the country’s transition to clean, flexible and secure energy.

Hands-free: Wireless charging system advances electric vehicle convenience


Consumer buy-in is key to the future of a decarbonized transportation sector in which electric vehicles largely replace today’s conventionally fueled cars and trucks. Oak Ridge National Laboratory scientists have for several years now steadily advanced a wireless charging technology that can make powering an EV just as easy, or easier, than filling up a car with gas. The researchers are now nearing the completion of a new system to charge EVs while they’re in motion.  

ORNL partners on science kits for STEM schools


Oak Ridge National Laboratory, the U.S. Department of Energy, the Center of Science and Industry and the Tennessee STEM Innovation Network have partnered to deliver hundreds of free science kits called Learning Lunchboxes to STEM-designated schools in East Tennessee. The program, named the Tennessee Distance Learning Initiative, provides engaging, hands-on activities aligned with Next Generation Science Standards.

ORNL licenses revolutionary AI system to General Motors for automotive use

The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.