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Researcher
- Hongbin Sun
- Yong Chae Lim
- Zhili Feng
- Alexey Serov
- Jaswinder Sharma
- Jian Chen
- Rangasayee Kannan
- Wei Zhang
- Xiang Lyu
- Adam Stevens
- Amit K Naskar
- Beth L Armstrong
- Brian Post
- Bryan Lim
- Dali Wang
- Gabriel Veith
- Georgios Polyzos
- Holly Humphrey
- Ilias Belharouak
- James Szybist
- Jiheon Jun
- Jonathan Willocks
- Junbin Choi
- Khryslyn G Araño
- Logan Kearney
- Marm Dixit
- Meghan Lamm
- Michael Toomey
- Michelle Lehmann
- Nihal Kanbargi
- Peeyush Nandwana
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Priyanshi Agrawal
- Ritu Sahore
- Roger G Miller
- Ruhul Amin
- Ryan Dehoff
- Sarah Graham
- Sudarsanam Babu
- Thien D. Nguyen
- Todd Toops
- Tomas Grejtak
- Vishaldeep Sharma
- William Peter
- Yiyu Wang
- Yukinori Yamamoto

In nuclear and industrial facilities, fine particles, including radioactive residues—can accumulate on the interior surfaces of ventilation ducts and equipment, posing serious safety and operational risks.

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

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.

Hydrogen is in great demand, but production relies heavily on hydrocarbons utilization. This process contributes greenhouse gases release into the atmosphere.

ORNL has developed a new hybrid membrane to improve electrochemical stability in next-generation sodium metal anodes.