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Researcher
- Brian Post
- Peter Wang
- Andrzej Nycz
- Blane Fillingim
- Chris Masuo
- Edgar Lara-Curzio
- Peeyush Nandwana
- Sudarsanam Babu
- Thomas Feldhausen
- Yong Chae Lim
- Zhili Feng
- Ahmed Hassen
- Eric Wolfe
- J.R. R Matheson
- Jian Chen
- Joshua Vaughan
- Lauren Heinrich
- Rangasayee Kannan
- Steven J Zinkle
- Wei Zhang
- Yanli Wang
- Ying Yang
- Yousub Lee
- Yutai Kato
- Adam Stevens
- Adam Willoughby
- Alex Roschli
- Amit Shyam
- Bishnu Prasad Thapaliya
- Brandon Johnston
- Brian Gibson
- Bruce A Pint
- Bryan Lim
- Cameron Adkins
- Charles Hawkins
- Christopher Fancher
- Chris Tyler
- Craig Blue
- Dali Wang
- David Olvera Trejo
- Frederic Vautard
- Gordon Robertson
- Isha Bhandari
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Jiheon Jun
- John Lindahl
- John Potter
- Liam White
- Luke Meyer
- Marie Romedenne
- Michael Borish
- Nidia Gallego
- Priyanshi Agrawal
- Rishi Pillai
- Ritin Mathews
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Scott Smith
- Steven Guzorek
- Tim Graening Seibert
- Tomas Grejtak
- Vlastimil Kunc
- Weicheng Zhong
- Wei Tang
- William Carter
- William Peter
- Xiang Chen
- Yiyu Wang
- Yukinori Yamamoto

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

This manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

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).

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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).

A valve solution that prevents cross contamination while allowing for blocking multiple channels at once using only one actuator.