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Researcher
- Andrzej Nycz
- Chris Tyler
- Sheng Dai
- Chris Masuo
- Justin West
- Parans Paranthaman
- Bishnu Prasad Thapaliya
- Peter Wang
- Ritin Mathews
- Zhenzhen Yang
- Alex Walters
- Craig A Bridges
- Shannon M Mahurin
- Brian Gibson
- David Olvera Trejo
- Edgar Lara-Curzio
- Ilja Popovs
- J.R. R Matheson
- Jaydeep Karandikar
- Joshua Vaughan
- Li-Qi Qiu
- Luke Meyer
- Saurabh Prakash Pethe
- Scott Smith
- Tolga Aytug
- Udaya C Kalluri
- Uday Vaidya
- William Carter
- Ahmed Hassen
- Akash Jag Prasad
- Alexei P Sokolov
- Amit Shyam
- Anees Alnajjar
- Ben Lamm
- Beth L Armstrong
- Brian Post
- Bruce Moyer
- Calen Kimmell
- Chelo Chavez
- Christopher Fancher
- Clay Leach
- Emma Betters
- Eric Wolfe
- Frederic Vautard
- Gordon Robertson
- Greg Corson
- Jayanthi Kumar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- John Potter
- Josh B Harbin
- Kaustubh Mungale
- Meghan Lamm
- Nageswara Rao
- Nidia Gallego
- Phillip Halstenberg
- Riley Wallace
- Santa Jansone-Popova
- Shajjad Chowdhury
- Subhamay Pramanik
- Tao Hong
- Tomonori Saito
- Tony L Schmitz
- Vincent Paquit
- Vladimir Orlyanchik
- Vlastimil Kunc
- Xiaohan Yang

A novel strategy was developed to solve the limitations of the current sorbent systems in CO2 chemisorption in terms of energy consumption in CO2 release and improved CO2 uptake capacity.

This invention introduces a novel sintering approach to produce hard carbon with a finely tuned microstructure, derived from biomass and plastic waste.

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.

The increasing demand for high-purity lanthanides, essential for advanced technologies such as electronics, renewable energy, and medical applications, presents a significant challenge due to their similar chemical properties.

Distortion generated during additive manufacturing of metallic components affect the build as well as the baseplate geometries. These distortions are significant enough to disqualify components for functional purposes.

For additive manufacturing of large-scale parts, significant distortion can result from residual stresses during deposition and cooling. This can result in part scraps if the final part geometry is not contained in the additively manufactured preform.

With the ever-growing reliance on batteries, the need for the chemicals and materials to produce these batteries is also growing accordingly. One area of critical concern is the need for high quality graphite to ensure adequate energy storage capacity and battery stability.

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