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Researcher
- Omer Onar
- Subho Mukherjee
- Vivek Sujan
- Mostak Mohammad
- Vandana Rallabandi
- Erdem Asa
- Shajjad Chowdhury
- Ying Yang
- Adam Siekmann
- Burak Ozpineci
- Emrullah Aydin
- Jon Wilkins
- Alice Perrin
- Gui-Jia Su
- Isabelle Snyder
- Steven J Zinkle
- Veda Prakash Galigekere
- Yanli Wang
- Yutai Kato
- Alex Plotkowski
- Ali Riza Ekti
- Amit Shyam
- Benjamin Lawrie
- Bruce A Pint
- Chengyun Hua
- Christopher Ledford
- Costas Tsouris
- David S Parker
- Gabor Halasz
- Gerry Knapp
- Gs Jung
- Gyoung Gug Jang
- Hong Wang
- Hyeonsup Lim
- James A Haynes
- Jiaqiang Yan
- Jong K Keum
- Lingxiao Xue
- Michael Kirka
- Mina Yoon
- Nicholas Richter
- Nishanth Gadiyar
- Patxi Fernandez-Zelaia
- Petro Maksymovych
- Radu Custelcean
- Rafal Wojda
- Ryan Dehoff
- Sumit Bahl
- Sunyong Kwon
- Tim Graening Seibert
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yan-Ru Lin

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.

A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.

The described concept provides a predictive technology solution to increase the safety of platooning vehicles.

ORNL has developed a revolutionary system for wirelessly transferring power to electric vehicles and energy storage systems, enabling efficient, contactless charging.

High-performance cerium-based permanent magnet materials have been developed to reduce reliance on scarce rare-earth elements.