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Researcher
- Kyle Gluesenkamp
- Singanallur Venkatakrishnan
- Amir K Ziabari
- Bo Shen
- Diana E Hun
- Melanie Moses-DeBusk Debusk
- Philip Bingham
- Philip Boudreaux
- Ryan Dehoff
- Stephen M Killough
- Vincent Paquit
- Bryan Maldonado Puente
- Callie Goetz
- Christopher Hobbs
- Corey Cooke
- Dhruba Deka
- Eddie Lopez Honorato
- Fred List III
- Gina Accawi
- Gurneesh Jatana
- James Manley
- Keith Carver
- Mark M Root
- Matt Kurley III
- Michael Kirka
- Navin Kumar
- Nolan Hayes
- Obaid Rahman
- Peter Wang
- Richard Howard
- Rodney D Hunt
- Ryan Heldt
- Ryan Kerekes
- Sally Ghanem
- Sreshtha Sinha Majumdar
- Thomas Butcher
- Tugba Turnaoglu
- Tyler Gerczak
- Xiaobing Liu
- Yeonshil Park
- Yifeng Hu

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

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

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

The invention describes a configuration of dishwasher using thermoelectric heat pumps that can accomplish energy savings and enhanced drying performance.

This invention aims to develop a new feature for a heat pump water heater having a forced flow condenser, coupled with a mixing valve, and a new feature to maximize the first hour rating and provide quick response to hot water demand, comparable to a typical gas water heater.&

Develop an innovative refrigerator having a thermoelectric cooler cascaded with a regular refrigerator compression system. the TE cooler dedicatedly controls the temperature in a freezer compartment.

Sintering additives to improve densification and microstructure control of UN provides a facile approach to producing high quality nuclear fuels.

Lean-burn natural gas (NG) engines are a preferred choice for the hard-to-electrify sectors for higher efficiency and lower NOx emissions, but methane slip can be a challenge.

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

Buildings are energy intensive and contribute to carbon dioxide emissions while accounting for one-third of energy consumption worldwide. Heat pump technology can assist in electrification and decarbonization efforts.