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Researcher
- Michael Kirka
- Rangasayee Kannan
- Gurneesh Jatana
- Peeyush Nandwana
- Ryan Dehoff
- Yong Chae Lim
- Zhili Feng
- Adam Stevens
- Christopher Ledford
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- Todd Toops
- Venkatakrishnan Singanallur Vaidyanathan
- Wei Zhang
- Yeonshil Park
- Alexander I Wiechert
- Alexey Serov
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- Benjamin Manard
- Beth L Armstrong
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- Costas Tsouris
- Dali Wang
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- Dhruba Deka
- Diana E Hun
- Fred List III
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- Jiheon Jun
- Joanna Mcfarlane
- Keith Carver
- Mark M Root
- Matt Vick
- Melanie Moses-DeBusk Debusk
- Patxi Fernandez-Zelaia
- Philip Bingham
- Philip Boudreaux
- Priyanshi Agrawal
- Richard Howard
- Roger G Miller
- Sarah Graham
- Sreshtha Sinha Majumdar
- Steve Bullock
- Sudarsanam Babu
- Thomas Butcher
- Tomas Grejtak
- Trevor Aguirre
- Vandana Rallabandi
- Vincent Paquit
- William Peter
- William P Partridge Jr
- Xiang Lyu
- Yan-Ru Lin
- Ying Yang
- Yiyu Wang
- Yukinori Yamamoto

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

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

Method to operate a compression ignition engine in dual fuel operation with premixed turbulent flame propagation from low to high loads.

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 discloses methods of using a reducing agent for catalytic oxygen reduction from CO2 streams, enabling the treated CO2 streams to meet the pipeline specifications.

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.

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.