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Researcher
- Andrzej Nycz
- Chris Masuo
- Peter Wang
- Alex Walters
- Alexey Serov
- Brian Gibson
- Jaswinder Sharma
- Joshua Vaughan
- Luke Meyer
- Udaya C Kalluri
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- Xiang Lyu
- Akash Jag Prasad
- Alex Roschli
- Amit K Naskar
- Amit Shyam
- Beth L Armstrong
- Calen Kimmell
- Chelo Chavez
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Erin Webb
- Evin Carter
- Gabriel Veith
- Georgios Polyzos
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- Holly Humphrey
- J.R. R Matheson
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- Jaydeep Karandikar
- Jay Reynolds
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- Jeremy Malmstead
- Jesse Heineman
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- Jonathan Willocks
- Junbin Choi
- Khryslyn G Ara単o
- Kitty K Mccracken
- Logan Kearney
- Marm Dixit
- Meghan Lamm
- Mengdawn Cheng
- Michael Toomey
- Michelle Lehmann
- Nihal Kanbargi
- Oluwafemi Oyedeji
- Paula Cable-Dunlap
- Riley Wallace
- Ritin Mathews
- Ritu Sahore
- Soydan Ozcan
- Todd Toops
- Tyler Smith
- Vincent Paquit
- Vladimir Orlyanchik
- Xianhui Zhao
- Xiaohan Yang

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

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.

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

Hydrogen is in great demand, but production relies heavily on hydrocarbons utilization. This process contributes greenhouse gases release into the atmosphere.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.

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

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.