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Researcher
- Omer Onar
- Subho Mukherjee
- Mostak Mohammad
- Vandana Rallabandi
- Erdem Asa
- Shajjad Chowdhury
- Vivek Sujan
- Burak Ozpineci
- Emrullah Aydin
- Jon Wilkins
- Singanallur Venkatakrishnan
- Amir K Ziabari
- Diana E Hun
- Gui-Jia Su
- Philip Bingham
- Philip Boudreaux
- Ryan Dehoff
- Stephen M Killough
- Veda Prakash Galigekere
- Vincent Paquit
- Adam Siekmann
- Ali Riza Ekti
- Bryan Maldonado Puente
- Corey Cooke
- Gina Accawi
- Gurneesh Jatana
- Isabelle Snyder
- Lingxiao Xue
- Mark M Root
- Michael Kirka
- Nolan Hayes
- Obaid Rahman
- Peter Wang
- Rafal Wojda
- Ryan Kerekes
- Sally Ghanem

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

This invention proposes a Honeycomb-DD coupling structure that addresses the shortcomings of the conventional honeycomb coil array and gathering the advantage of DD and honeycomb designs advantages in a single design.

Wireless charging systems need to operate at high frequency, at or near resonance, to maximize power transfer distance and efficiency. High voltages appear across the inductors and capacitors. The use of discrete components reduces efficiency, increases system complexity.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).

Technologies for optimizing prefab retrofit panel installation using a real-time evaluator is described.

Simurgh revolutionizes industrial CT imaging with AI, enhancing speed and accuracy in nondestructive testing for complex parts, reducing costs.

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