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Researcher
- Edgar Lara-Curzio
- Ying Yang
- Yong Chae Lim
- Zhili Feng
- Adam Willoughby
- Bruce A Pint
- Eric Wolfe
- Jian Chen
- Rangasayee Kannan
- Rishi Pillai
- Ryan Dehoff
- Steven J Zinkle
- Wei Zhang
- Yanli Wang
- Yutai Kato
- Adam Stevens
- Alice Perrin
- Annetta Burger
- Ben Lamm
- Beth L Armstrong
- Bishnu Prasad Thapaliya
- Brandon Johnston
- Brian Post
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Charles Hawkins
- Christopher Ledford
- Dali Wang
- Debraj De
- Frederic Vautard
- Gautam Malviya Thakur
- James Gaboardi
- Jason Jarnagin
- Jesse McGaha
- Jiheon Jun
- Kevin Spakes
- Kevin Sparks
- Lilian V Swann
- Liz McBride
- Marie Romedenne
- Mark Provo II
- Meghan Lamm
- Michael Kirka
- Nidia Gallego
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Priyanshi Agrawal
- Rob Root
- Roger G Miller
- Sam Hollifield
- Sarah Graham
- Shajjad Chowdhury
- Sudarsanam Babu
- Tim Graening Seibert
- Todd Thomas
- Tolga Aytug
- Tomas Grejtak
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Xiuling Nie
- Yan-Ru Lin
- Yiyu Wang
- Yukinori Yamamoto

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

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

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

A novel method that prevents detachment of an optical fiber from a metal/alloy tube and allows strain measurement up to higher temperatures, about 800 C has been developed. Standard commercial adhesives typically only survive up to about 400 C.

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

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.

The microreactor design addresses the need to understand molten salt-assisted electrochemical processes at a controlled scale, enabling real-time observation of structural changes and kinetics.

With the ever-growing reliance on batteries, the need for the chemicals and materials to produce these batteries is also growing accordingly. One area of critical concern is the need for high quality graphite to ensure adequate energy storage capacity and battery stability.

Test facilities to evaluate materials compatibility in hydrogen are abundant for high pressure and low temperature (<100C).