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Researcher
- Brian Post
- Peter Wang
- Andrzej Nycz
- Blane Fillingim
- Chris Masuo
- Sudarsanam Babu
- Thomas Feldhausen
- Ahmed Hassen
- J.R. R Matheson
- Joshua Vaughan
- Lauren Heinrich
- Peeyush Nandwana
- Yousub Lee
- Aaron Myers
- Adam Stevens
- Alex Roschli
- Amit Shyam
- Brian Gibson
- Cameron Adkins
- Christopher Fancher
- Chris Tyler
- Craig Blue
- Daniel Jacobson
- David Olvera Trejo
- Eve Tsybina
- Gordon Robertson
- Isha Bhandari
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- John Lindahl
- John Potter
- Justin Cazares
- Liam White
- Luke Meyer
- Matt Larson
- Michael Borish
- Rangasayee Kannan
- Ritin Mathews
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Scott Smith
- Steven Guzorek
- Viswadeep Lebakula
- Vlastimil Kunc
- William Carter
- William Peter
- Yukinori Yamamoto

Mechanism-Based Biological Inference via Multiplex Networks, AI Agents and Cross-Species Translation
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

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.

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.

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.

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.

This invention discusses the methodology to calibrating a multi-robot system with an arbitrary number of agents to obtain single coordinate frame with high accuracy.