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Researcher
- Brian Post
- Chris Tyler
- Sheng Dai
- Justin West
- Parans Paranthaman
- Peter Wang
- Rama K Vasudevan
- Andrzej Nycz
- Bishnu Prasad Thapaliya
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- Ahmed Hassen
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- Chris Masuo
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- Maxim A Ziatdinov
- Peeyush Nandwana
- Shannon M Mahurin
- Sudarsanam Babu
- Thomas Feldhausen
- Adam Stevens
- Beth L Armstrong
- David Olvera Trejo
- Edgar Lara-Curzio
- Ilja Popovs
- J.R. R Matheson
- Jaydeep Karandikar
- Joshua Vaughan
- Kyle Kelley
- Lauren Heinrich
- Li-Qi Qiu
- Michael Kirka
- Rangasayee Kannan
- Ryan Dehoff
- Saurabh Prakash Pethe
- Scott Smith
- Tolga Aytug
- Uday Vaidya
- Vlastimil Kunc
- William Carter
- Yousub Lee
- Akash Jag Prasad
- Alexei P Sokolov
- Alex Roschli
- Amir K Ziabari
- Amit Shyam
- Amy Elliott
- Anees Alnajjar
- Anton Ievlev
- Arpan Biswas
- Ben Lamm
- Brian Gibson
- Bruce Moyer
- Calen Kimmell
- Cameron Adkins
- Christopher Fancher
- Christopher Ledford
- Corson Cramer
- Craig Blue
- Emma Betters
- Eric Wolfe
- Frederic Vautard
- Fred List III
- Gerd Duscher
- Gordon Robertson
- Greg Corson
- Isha Bhandari
- James Klett
- Jayanthi Kumar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- John Lindahl
- John Potter
- Josh B Harbin
- Kaustubh Mungale
- Keith Carver
- Liam Collins
- Liam White
- Luke Meyer
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Meghan Lamm
- Michael Borish
- Nageswara Rao
- Neus Domingo Marimon
- Nidia Gallego
- Olga S Ovchinnikova
- Philip Bingham
- Phillip Halstenberg
- Richard Howard
- Roger G Miller
- Sai Mani Prudhvi Valleti
- Santa Jansone-Popova
- Sarah Graham
- Shajjad Chowdhury
- Stephen Jesse
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- Subhamay Pramanik
- Sumner Harris
- Tao Hong
- Thomas Butcher
- Tomonori Saito
- Tony L Schmitz
- Trevor Aguirre
- Utkarsh Pratiush
- Venkatakrishnan Singanallur Vaidyanathan
- Vincent Paquit
- Vladimir Orlyanchik
- William Peter
- Yukinori Yamamoto

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp

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.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

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.

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.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.