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Researcher
- Peeyush Nandwana
- Kyle Gluesenkamp
- Ryan Dehoff
- Venkatakrishnan Singanallur Vaidyanathan
- Amir K Ziabari
- Amit Shyam
- Blane Fillingim
- Bo Shen
- Brian Post
- Lauren Heinrich
- Melanie Moses-DeBusk Debusk
- Philip Bingham
- Rangasayee Kannan
- Sudarsanam Babu
- Thomas Feldhausen
- Vincent Paquit
- Yousub Lee
- Alex Plotkowski
- Andres Marquez Rossy
- Bruce A Pint
- Bryan Lim
- Christopher Fancher
- Dhruba Deka
- Diana E Hun
- Gina Accawi
- Gordon Robertson
- Gurneesh Jatana
- James Manley
- Jay Reynolds
- Jeff Brookins
- Mark M Root
- Michael Kirka
- Navin Kumar
- Obaid Rahman
- Peter Wang
- Philip Boudreaux
- Sreshtha Sinha Majumdar
- Steven J Zinkle
- Tim Graening Seibert
- Tomas Grejtak
- Tugba Turnaoglu
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Xiaobing Liu
- Yanli Wang
- Yeonshil Park
- Yifeng Hu
- Ying Yang
- Yiyu Wang
- Yutai Kato

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.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

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 work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.