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Researcher
- Brian Post
- Peter Wang
- Andrzej Nycz
- Blane Fillingim
- Chris Masuo
- Hongbin Sun
- Peeyush Nandwana
- Sudarsanam Babu
- Thomas Feldhausen
- Yong Chae Lim
- Ahmed Hassen
- J.R. R Matheson
- Joshua Vaughan
- Lauren Heinrich
- Prashant Jain
- Rangasayee Kannan
- Yousub Lee
- Zhili Feng
- Adam Stevens
- Alex Roschli
- Amit Shyam
- Brian Gibson
- Bryan Lim
- Cameron Adkins
- Christopher Fancher
- Chris Tyler
- Craig Blue
- David Olvera Trejo
- Gordon Robertson
- Ian Greenquist
- Ilias Belharouak
- Isha Bhandari
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Jian Chen
- Jiheon Jun
- John Lindahl
- John Potter
- Liam White
- Luke Meyer
- Michael Borish
- Nate See
- Nithin Panicker
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Priyanshi Agrawal
- Ritin Mathews
- Roger G Miller
- Ruhul Amin
- Ryan Dehoff
- Sarah Graham
- Scott Smith
- Steven Guzorek
- Thien D. Nguyen
- Tomas Grejtak
- Vishaldeep Sharma
- Vittorio Badalassi
- Vlastimil Kunc
- Wei Zhang
- William Carter
- William Peter
- Yiyu Wang
- Yukinori Yamamoto

In nuclear and industrial facilities, fine particles, including radioactive residues—can accumulate on the interior surfaces of ventilation ducts and equipment, posing serious safety and operational risks.

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

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

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.

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.

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.

A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.

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

Materials produced via additive manufacturing, or 3D printing, can experience significant residual stress, distortion and cracking, negatively impacting the manufacturing process.

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