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Researcher
- Gurneesh Jatana
- Srikanth Yoginath
- Yong Chae Lim
- Zhili Feng
- Chad Steed
- James J Nutaro
- James Szybist
- Jian Chen
- Jonathan Willocks
- Junghoon Chae
- Pratishtha Shukla
- Rangasayee Kannan
- Sudip Seal
- Todd Toops
- Travis Humble
- Wei Zhang
- Yeonshil Park
- Adam Stevens
- Alexander I Wiechert
- Alexey Serov
- Ali Passian
- Annetta Burger
- Benjamin Manard
- Brian Post
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Charles F Weber
- Costas Tsouris
- Dali Wang
- Debraj De
- Derek Splitter
- Dhruba Deka
- Diana E Hun
- Gautam Malviya Thakur
- Gina Accawi
- Haiying Chen
- Harper Jordan
- James Gaboardi
- Jesse McGaha
- Jiheon Jun
- Joanna Mcfarlane
- Joel Asiamah
- Joel Dawson
- Kevin Sparks
- Liz McBride
- Mark M Root
- Matt Vick
- Melanie Moses-DeBusk Debusk
- Nance Ericson
- Pablo Moriano Salazar
- Peeyush Nandwana
- Philip Boudreaux
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Samudra Dasgupta
- Sarah Graham
- Sreshtha Sinha Majumdar
- Sudarsanam Babu
- Todd Thomas
- Tomas Grejtak
- Vandana Rallabandi
- Varisara Tansakul
- Venkatakrishnan Singanallur Vaidyanathan
- William Peter
- William P Partridge Jr
- Xiang Lyu
- Xiuling Nie
- Yiyu Wang
- Yukinori Yamamoto

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

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.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.