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Researcher
- Kyle Gluesenkamp
- Venkatakrishnan Singanallur Vaidyanathan
- Amir K Ziabari
- Bo Shen
- Melanie Moses-DeBusk Debusk
- Philip Bingham
- Ryan Dehoff
- Vincent Paquit
- Vlastimil Kunc
- Ahmed Hassen
- Dan Coughlin
- Dhruba Deka
- Diana E Hun
- Gina Accawi
- Gurneesh Jatana
- James Manley
- Jim Tobin
- Josh Crabtree
- Kim Sitzlar
- Mark M Root
- Merlin Theodore
- Michael Kirka
- Navin Kumar
- Obaid Rahman
- Philip Boudreaux
- Sreshtha Sinha Majumdar
- Steven Guzorek
- Subhabrata Saha
- Tugba Turnaoglu
- Vipin Kumar
- 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.

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.

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.

Through the use of splicing methods, joining two different fiber types in the tow stage of the process enables great benefits to the strength of the material change.

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.

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