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Researcher
- Ahmed Hassen
- Brian Post
- Vlastimil Kunc
- Andrzej Nycz
- Peter Wang
- Steve Bullock
- Vipin Kumar
- Chris Tyler
- Soydan Ozcan
- Steven Guzorek
- Chris Masuo
- Corson Cramer
- Costas Tsouris
- Kashif Nawaz
- Vincent Paquit
- David Nuttall
- Halil Tekinalp
- Justin West
- Meghan Lamm
- Michelle Kidder
- Ryan Dehoff
- Uday Vaidya
- Andrew Sutton
- Diana E Hun
- Greg Larsen
- Joe Rendall
- Joshua Vaughan
- Michael Kirka
- Peeyush Nandwana
- Radu Custelcean
- Ritin Mathews
- Sudarsanam Babu
- Umesh N MARATHE
- William Carter
- Zhiming Gao
- Adam Stevens
- Alex Roschli
- Alex Walters
- Beth L Armstrong
- Blane Fillingim
- Dan Coughlin
- Gyoung Gug Jang
- James Klett
- Kai Li
- Katie Copenhaver
- Luke Meyer
- Nadim Hmeidat
- Philip Boudreaux
- Praveen Cheekatamarla
- Rangasayee Kannan
- Subhabrata Saha
- Thomas Feldhausen
- Trevor Aguirre
- Tyler Smith
- Venkatakrishnan Singanallur Vaidyanathan
- Vishaldeep Sharma
- Alexander I Wiechert
- Amir K Ziabari
- Brian Gibson
- Brittany Rodriguez
- Bryan Maldonado Puente
- Christopher Ledford
- Clay Leach
- Craig Blue
- David Olvera Trejo
- Georges Chahine
- Gs Jung
- J.R. R Matheson
- James Manley
- Jamieson Brechtl
- Jaydeep Karandikar
- Jesse Heineman
- Jim Tobin
- John Lindahl
- Kyle Gluesenkamp
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- Melanie Moses-DeBusk Debusk
- Michael Cordon
- Mingkan Zhang
- Philip Bingham
- Pum Kim
- Sanjita Wasti
- Scott Smith
- Segun Isaac Talabi
- Tomonori Saito
- Udaya C Kalluri
- Xianhui Zhao
- Yousub Lee
- Aaron Werth
- Adwoa Owusu
- Ajibola Lawal
- Akash Jag Prasad
- Akash Phadatare
- Alice Perrin
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- Greg Corson
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- Huixin (anna) Jiang
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- Parans Paranthaman
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- Pengtao Wang
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- Tony L Schmitz
- Troy Seay
- Vandana Rallabandi
- Vladimir Orlyanchik
- William Peter
- Xiaohan Yang
- Yan-Ru Lin
- Yarom Polsky
- Yeonshil Park
- Ying Yang
- Yukinori Yamamoto
- Zackary Snow
- Zoriana Demchuk

ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.

The technology will offer supportless DIW of complex structures using vinyl ester resin, facilitated by multidirectional 6 axis printing.

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

The technologies provides for regeneration of anion-exchange resin.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

Monoterpenes conversion to C10 aromatics (60%) and C10 cycloalkanes (40%) in an inert environment, provides an established route for sustainable aviation fuel (SAF) blends sourced directly from biomass captured terpenes mixtures.

US coastal and island communities have vulnerable energy infrastructure and high energy costs, which are exacerbated by climate change.

The technologies provide additively manufactured thermal protection system.

Wind turbine blades face a harsh environment in which erosion of the leading edge is a major factor for in-use maintenance. Current industrial practices to address this leading edge erosion are replacement of reinforcing materials upon significant damage infliction.