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Researcher
- Andrzej Nycz
- Chris Masuo
- Ryan Dehoff
- Vincent Paquit
- Peter Wang
- Alex Walters
- Brian Post
- Michael Kirka
- Rangasayee Kannan
- Venkatakrishnan Singanallur Vaidyanathan
- Adam Stevens
- Alex Roschli
- Amir K Ziabari
- Brian Gibson
- Clay Leach
- Eddie Lopez Honorato
- Joshua Vaughan
- Luke Meyer
- Peeyush Nandwana
- Philip Bingham
- Ryan Heldt
- Tyler Gerczak
- Udaya C Kalluri
- William Carter
- Akash Jag Prasad
- Alice Perrin
- Amit Shyam
- Calen Kimmell
- Callie Goetz
- Cameron Adkins
- Canhai Lai
- Chelo Chavez
- Christopher Fancher
- Christopher Hobbs
- Christopher Ledford
- Chris Tyler
- Costas Tsouris
- Diana E Hun
- Erin Webb
- Evin Carter
- Fred List III
- Gina Accawi
- Gordon Robertson
- Gurneesh Jatana
- Isha Bhandari
- J.R. R Matheson
- James Haley
- James Parks II
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jeremy Malmstead
- Jesse Heineman
- John Potter
- Keith Carver
- Kitty K Mccracken
- Liam White
- Mark M Root
- Matt Kurley III
- Michael Borish
- Obaid Rahman
- Oluwafemi Oyedeji
- Patxi Fernandez-Zelaia
- Philip Boudreaux
- Richard Howard
- Riley Wallace
- Ritin Mathews
- Rodney D Hunt
- Roger G Miller
- Sarah Graham
- Soydan Ozcan
- Sudarsanam Babu
- Thomas Butcher
- Tyler Smith
- Vladimir Orlyanchik
- William Peter
- Xianhui Zhao
- Xiaohan Yang
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto
- Zackary Snow

Technologies are described directed to reducing weld additive part distortion with spot compressions integrated into the build process. The disclosed technologies can be used to make weld additive parts with potentially better geometrical accuracy.

The use of Fluidized Bed Chemical Vapor Deposition to coat particles or fibers is inherently slow and capital intensive, as it requires constant modifications to the equipment to account for changes in the characteristics of the substrates to be coated.

This technology is a strategy for decreasing electromagnetic interference and boosting signal fidelity for low signal-to-noise sensors transmitting over long distances in extreme environments, such as nuclear energy generation applications, particularly for particle detection.

Simurgh revolutionizes industrial CT imaging with AI, enhancing speed and accuracy in nondestructive testing for complex parts, reducing costs.

An innovative system for automating the surveillance and manipulation of plant tissues using advanced machine vision and robotic tools.

An innovative low-cost system for in-situ monitoring of strain and temperature during directed energy deposition.

This invention is about a multifunctional structured packing device that can simultaneously facilitate heat and mass transfer in packed distillation, absorption, and liquid extraction columns, as well as in multiphase reactors.