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Researcher
- Isabelle Snyder
- Gurneesh Jatana
- Yong Chae Lim
- Zhili Feng
- Adam Siekmann
- Emilio Piesciorovsky
- James Szybist
- Jian Chen
- Jonathan Willocks
- Rangasayee Kannan
- Subho Mukherjee
- Todd Toops
- Vivek Sujan
- Wei Zhang
- Yeonshil Park
- Aaron Werth
- Aaron Wilson
- Adam Stevens
- Alexander I Wiechert
- Alexey Serov
- Ali Riza Ekti
- Benjamin Manard
- Brian Post
- Bryan Lim
- Charles F Weber
- Costas Tsouris
- Dali Wang
- Derek Splitter
- Dhruba Deka
- Diana E Hun
- Elizabeth Piersall
- Eve Tsybina
- Gary Hahn
- Gina Accawi
- Haiying Chen
- Jiheon Jun
- Joanna Mcfarlane
- Mark M Root
- Matt Vick
- Melanie Moses-DeBusk Debusk
- Nils Stenvig
- Ozgur Alaca
- Peeyush Nandwana
- Philip Boudreaux
- Priyanshi Agrawal
- Raymond Borges Hink
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Sreshtha Sinha Majumdar
- Sudarsanam Babu
- Tomas Grejtak
- Vandana Rallabandi
- Venkatakrishnan Singanallur Vaidyanathan
- Viswadeep Lebakula
- William Peter
- William P Partridge Jr
- Xiang Lyu
- Yarom Polsky
- 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.

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.

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

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.