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Researcher
- Brian Post
- Peter Wang
- Andrzej Nycz
- Blane Fillingim
- Chris Masuo
- Peeyush Nandwana
- Sudarsanam Babu
- Thomas Feldhausen
- Ahmed Hassen
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- Lauren Heinrich
- Rangasayee Kannan
- Yousub Lee
- Adam Stevens
- Alexander I Kolesnikov
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- Amit Shyam
- Bekki Mills
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- Cameron Adkins
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- Isha Bhandari
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- Michael Borish
- Ritin Mathews
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Scott Smith
- Steven Guzorek
- Tomas Grejtak
- Victor Fanelli
- Vlastimil Kunc
- William Carter
- William Peter
- Yiyu Wang
- Yukinori Yamamoto

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.

Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.

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.

Neutron beams are used around the world to study materials for various purposes.

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

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

In additive printing that utilizes multiple robotic agents to build, each agent, or “arm”, is currently limited to a prescribed path determined by the user.