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Researcher
- Corson Cramer
- Steve Bullock
- Greg Larsen
- James Klett
- Singanallur Venkatakrishnan
- Trevor Aguirre
- Ali Riza Ekti
- Amir K Ziabari
- Diana E Hun
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- Vincent Paquit
- Vlastimil Kunc
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- Aaron Wilson
- Ahmed Hassen
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- Burak Ozpineci
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- Isabelle Snyder
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- Kunal Mondal
- Mahim Mathur
- Mark M Root
- Mingyan Li
- Mostak Mohammad
- Nadim Hmeidat
- Nils Stenvig
- Nolan Hayes
- Obaid Rahman
- Omer Onar
- Oscar Martinez
- Ozgur Alaca
- Peter L Fuhr
- Peter Wang
- Ryan Kerekes
- Sally Ghanem
- Sam Hollifield
- Sana Elyas
- Steven Guzorek
- Tomonori Saito
- Tony Beard
- Yarom Polsky

ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.

This technology can help to increase number of application areas of Wireless Power Transfer systems. It can be applied to consumer electronics, defense industry, automotive industry etc.

The technologies provide additively manufactured thermal protection system.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

This invention focuses on improving the ceramic yield of preceramic polymers by tuning the crosslinking process that occurs during vat photopolymerization (VP).

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

Using all polymer formulations, the PIP densification is improved almost 70% over traditional preceramic polymers and PIP material leading to cost and times saving for densifying ceramic composites made from powder or fibers.

The technologies provide a system and method of needling of veiled AS4 fabric tape.

Fiberglass, semi-structural insulation for recycled glass fiber and using a low cost silicon with pultruded rods, either fiberglass and a low cost resin, polyester for pultruded rods. It will reduce the use of wood, which is flammable, and still be structural.

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