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ORNL researchers to present wireless charging technology in OTT’s Discovery Series webinar

ORNL’s Omer Onar and Mostak Mohammad will present on ORNL's wireless charging technology in DOE’s Office of Technology Transitions National Lab Discovery Series Tuesday, April 30. 

 

 

ORNL’s Erin Webb is co-leading a new Circular Bioeconomy Systems Convergent Research Initiative focused on advancing production and use of renewable carbon from Tennessee to meet societal needs. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy

ORNL’s Erin Webb is co-leading a new Circular Bioeconomy Systems Convergent Research Initiative focused on advancing production and use of renewable carbon from Tennessee to meet societal needs. 

ORNL quantum researchers, from left, Brian Williams, Phil Evans, and Nick Peters work on their quantum key distribution system.

ORNL scientists have spent the past 20 years studying quantum photonic entanglement. Their partnership with colleagues at Los Alamos National Laboratory and private industry partner Qubitekk led to development of the nation’s first industry-led commercial quantum network. This type of network could ultimately help secure the nation’s power grid and other infrastructure from cyberattacks.

Intern Noah Miller, left, and his mentor, Joe McVeigh, stand with their poster at the American Glovebox Society conference in 2023.

College intern Noah Miller is on his 3rd consecutive internship at ORNL, currently working on developing an automated pellet inspection system for Oak Ridge National Laboratory’s Plutonium-238 Supply Program. Along with his success at ORNL, Miller is also focusing on becoming a mentor for kids, giving back to the place where he discovered his passion and developed his skills. 

ORNL researcher Brian Williams prepares for a demonstration of a quantum key distribution system. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy

An experiment by researchers at the Department of Energy’s Oak Ridge National Laboratory demonstrated advanced quantum-based cybersecurity can be realized in a deployed fiber link. 

ORNL researchers achieved the highest wireless power transfer level for a light-duty passenger vehicle when the team demonstrated a 100-kW wireless power transfer to an EV using ORNL’s patented polyphase electromagnetic coupling coil. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy

A team of researchers at ORNL demonstrated that a light-duty passenger electric vehicle can be wirelessly charged at 100-kW with 96% efficiency using polyphase electromagnetic coupling coils with rotating magnetic fields.

Instantaneous solution quantities shown for a static Mach 1.4 solution on a mesh consisting of 33 billion elements using 33,880 GPUs, or 90% of Frontier.  From left to right, contours show the mass fractions of the hydroxyl radical and H2O, the temperature in Kelvin, and the local Mach number. Credit: Gabriel Nastac/NASA

Since 2019, a team of NASA scientists and their partners have been using NASA’s FUN3D software on supercomputers located at the Department of Energy’s Oak Ridge Leadership Computing Facility to conduct computational fluid dynamics simulations of a human-scale Mars lander. The team’s ongoing research project is a first step in determining how to safely land a vehicle with humans onboard onto the surface of Mars.

Chuck Greenfield, former assistant director of the DII-D National Fusion Program at General Atomics, has joined ORNL as ITER R&D Lead.

Chuck Greenfield, former assistant director of the DIII-D National Fusion Program at General Atomics, has joined ORNL as ITER R&D Lead. 
 

Scientists discover super sensor for the smallest scales

A team that included researchers at ORNL used a new twist on an old method to detect materials at some of the smallest amounts yet recorded. The results could lead to enhancements in security technology and aid the development of quantum sensors. 

New system combines human, artificial intelligence to improve experimentation

To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.