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Researcher
- Brian Post
- Peter Wang
- Andrzej Nycz
- Blane Fillingim
- Chris Masuo
- Sudarsanam Babu
- Thomas Feldhausen
- Ahmed Hassen
- Anees Alnajjar
- J.R. R Matheson
- Joshua Vaughan
- Lauren Heinrich
- Peeyush Nandwana
- Yaosuo Xue
- Yousub Lee
- Adam Stevens
- Alex Roschli
- Amit Shyam
- Brian Gibson
- Cameron Adkins
- Christopher Fancher
- Chris Tyler
- Craig A Bridges
- Craig Blue
- David Olvera Trejo
- Fei Wang
- Gordon Robertson
- Isha Bhandari
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- John Lindahl
- John Potter
- Liam White
- Luke Meyer
- Mariam Kiran
- Michael Borish
- Nageswara Rao
- Phani Ratna Vanamali Marthi
- Rafal Wojda
- Rangasayee Kannan
- Ritin Mathews
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Scott Smith
- Sheng Dai
- Sreenivasa Jaldanki
- Steven Guzorek
- Suman Debnath
- Sunil Subedi
- Vlastimil Kunc
- William Carter
- William Peter
- Yonghao Gui
- Yukinori Yamamoto

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

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.

Measurements of grid voltage and current are essential for the optimal operation of the grid protection and control (P&C) systems.

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

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.

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.

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.