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Researcher
- Amit Shyam
- Beth L Armstrong
- Peeyush Nandwana
- Kyle Gluesenkamp
- Ying Yang
- Zhili Feng
- Alex Plotkowski
- Brian Post
- Edgar Lara-Curzio
- Jian Chen
- Jun Qu
- Rangasayee Kannan
- Ryan Dehoff
- Sudarsanam Babu
- Yong Chae Lim
- Adam Willoughby
- Alice Perrin
- Blane Fillingim
- Bo Shen
- Bruce A Pint
- Christopher Ledford
- Corson Cramer
- David S Parker
- Eric Wolfe
- James A Haynes
- Lauren Heinrich
- Meghan Lamm
- Melanie Moses-DeBusk Debusk
- Michael Kirka
- Rishi Pillai
- Rob Moore II
- Steve Bullock
- Steven J Zinkle
- Sumit Bahl
- Thomas Feldhausen
- Tomas Grejtak
- Wei Zhang
- Yanli Wang
- Yousub Lee
- Yutai Kato
- Adam Stevens
- Andres Marquez Rossy
- Andrew F May
- Ben Garrison
- Benjamin Lawrie
- Ben Lamm
- Bishnu Prasad Thapaliya
- Brad Johnson
- Brandon Johnston
- Brian Sales
- Bryan Lim
- Charles Hawkins
- Chengyun Hua
- Christopher Fancher
- Costas Tsouris
- Dali Wang
- David J Mitchell
- Dean T Pierce
- Dhruba Deka
- Ethan Self
- Frederic Vautard
- Gabor Halasz
- Gabriel Veith
- Gerry Knapp
- Glenn R Romanoski
- Gordon Robertson
- Govindarajan Muralidharan
- Gs Jung
- Gyoung Gug Jang
- Hsin Wang
- James Klett
- James Manley
- Jay Reynolds
- Jeff Brookins
- Jiaqiang Yan
- Jiheon Jun
- Jong K Keum
- Jordan Wright
- Jovid Rakhmonov
- Khryslyn G Araño
- Marie Romedenne
- Marm Dixit
- Matthew Brahlek
- Matthew S Chambers
- Mike Zach
- Mina Yoon
- Nancy Dudney
- Navin Kumar
- Nedim Cinbiz
- Nicholas Richter
- Nidia Gallego
- Patxi Fernandez-Zelaia
- Peter Wang
- Petro Maksymovych
- Priyanshi Agrawal
- Radu Custelcean
- Roger G Miller
- Rose Montgomery
- Sarah Graham
- Sergiy Kalnaus
- Shajjad Chowdhury
- Sreshtha Sinha Majumdar
- Sunyong Kwon
- Thomas R Muth
- Tim Graening Seibert
- Tolga Aytug
- Trevor Aguirre
- Tugba Turnaoglu
- Venugopal K Varma
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Xiaobing Liu
- Yan-Ru Lin
- Yeonshil Park
- Yifeng Hu
- Yiyu Wang
- Yukinori Yamamoto

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).

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.

Finite element (FE) numerical computation method is widely used to facilitate the design and optimization of manufacturing processes using two types of solvers, implicit and explicit.

Using all polymer formulations, the PIP densification is improved almost 70% over traditional preceramic polymers and PIP material leading to cost and times saving for densifying ceramic composites made from powder or fibers.

A bonded carbon fiber monolith was made using a coal-based pitch precursor without a binder.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.