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Researcher
- Corson Cramer
- Steve Bullock
- Diana E Hun
- Greg Larsen
- James Klett
- Singanallur Venkatakrishnan
- Trevor Aguirre
- Amir K Ziabari
- Michael Kirka
- Philip Bingham
- Philip Boudreaux
- Ryan Dehoff
- Stephen M Killough
- Tomonori Saito
- Vincent Paquit
- Vlastimil Kunc
- Ahmed Hassen
- Beth L Armstrong
- Bryan Maldonado Puente
- Charlie Cook
- Christopher Hershey
- Christopher Ledford
- Corey Cooke
- Craig Blue
- Daniel Rasmussen
- David J Mitchell
- Dustin Gilmer
- Easwaran Krishnan
- Gina Accawi
- Gurneesh Jatana
- James Manley
- Jamieson Brechtl
- Joe Rendall
- John Lindahl
- Jordan Wright
- Karen Cortes Guzman
- Kashif Nawaz
- Kuma Sumathipala
- Mark M Root
- Mengjia Tang
- Muneeshwaran Murugan
- Nadim Hmeidat
- Nolan Hayes
- Obaid Rahman
- Peter Wang
- Ryan Kerekes
- Sally Ghanem
- Sana Elyas
- Steven Guzorek
- Tony Beard
- Zoriana Demchuk

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

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).

Estimates based on the U.S. Department of Energy (DOE) test procedure for water heaters indicate that the equivalent of 350 billion kWh worth of hot water is discarded annually through drains, and a large portion of this energy is, in fact, recoverable.

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.

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.