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Researcher
- Omer Onar
- Subho Mukherjee
- Vivek Sujan
- Mostak Mohammad
- Vandana Rallabandi
- Erdem Asa
- Shajjad Chowdhury
- Adam Siekmann
- Burak Ozpineci
- Emrullah Aydin
- Jon Wilkins
- Kyle Kelley
- Rama K Vasudevan
- Gui-Jia Su
- Isabelle Snyder
- Sergei V Kalinin
- Stephen Jesse
- Veda Prakash Galigekere
- Ali Riza Ekti
- An-Ping Li
- Andrew Lupini
- Anton Ievlev
- Bogdan Dryzhakov
- Hong Wang
- Hoyeon Jeon
- Huixin (anna) Jiang
- Hyeonsup Lim
- Jamieson Brechtl
- Jewook Park
- Kai Li
- Kashif Nawaz
- Kevin M Roccapriore
- Liam Collins
- Lingxiao Xue
- Marti Checa Nualart
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Nishanth Gadiyar
- Olga S Ovchinnikova
- Ondrej Dyck
- Rafal Wojda
- Saban Hus
- Steven Randolph
- Yongtao Liu

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.

This technology provides a device, platform and method of fabrication of new atomically tailored materials. This “synthescope” is a scanning transmission electron microscope (STEM) transformed into an atomic-scale material manipulation platform.

This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.

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

This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.

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