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Researcher
- Ilias Belharouak
- Adam M Guss
- Soydan Ozcan
- Halil Tekinalp
- Meghan Lamm
- Rafal Wojda
- Vlastimil Kunc
- Ahmed Hassen
- Isabelle Snyder
- Josh Michener
- Umesh N MARATHE
- Alexey Serov
- Ali Riza Ekti
- Dan Coughlin
- Katie Copenhaver
- Liangyu Qian
- Prasad Kandula
- Steven Guzorek
- Subho Mukherjee
- Uday Vaidya
- Venkatakrishnan Singanallur Vaidyanathan
- Vincent Paquit
- Vipin Kumar
- Xiang Lyu
- Aaron Wilson
- Adam Siekmann
- Alex Roschli
- Ali Abouimrane
- Amir K Ziabari
- Andrzej Nycz
- Austin L Carroll
- Beth L Armstrong
- Biruk A Feyissa
- Carrie Eckert
- Daniel Jacobson
- David Nuttall
- Diana E Hun
- Elizabeth Piersall
- Emilio Piesciorovsky
- Georges Chahine
- Isaiah Dishner
- Jaswinder Sharma
- Jeff Foster
- John F Cahill
- Kuntal De
- Marm Dixit
- Matt Korey
- Mostak Mohammad
- Nadim Hmeidat
- Nils Stenvig
- Omer Onar
- Ozgur Alaca
- Philip Bingham
- Philip Boudreaux
- Pum Kim
- Raymond Borges Hink
- Ruhul Amin
- Ryan Dehoff
- Sanjita Wasti
- Serena Chen
- Shajjad Chowdhury
- Stephen M Killough
- Steve Bullock
- Suman Debnath
- Tyler Smith
- Udaya C Kalluri
- Vandana Rallabandi
- Vilmos Kertesz
- Vivek Sujan
- Xianhui Zhao
- Xiaohan Yang
- Yaosuo Xue
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- Adwoa Owusu
- Akash Phadatare
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- Alex Walters
- Amber Hubbard
- Amit K Naskar
- Ben Lamm
- Ben LaRiviere
- Brian Post
- Brian Sanders
- Brittany Rodriguez
- Bryan Maldonado Puente
- Burak Ozpineci
- Cait Clarkson
- Chris Masuo
- Christopher Fancher
- Clay Leach
- Corey Cooke
- Dali Wang
- David L Wood III
- Debjani Pal
- Emrullah Aydin
- Erin Webb
- Ethan Self
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- Joanna Tannous
- John Holliman II
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- Joseph Olatt
- Josh Crabtree
- Junbin Choi
- Khryslyn G Araño
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- Kitty K Mccracken
- Kunal Mondal
- Kyle Davis
- Logan Kearney
- Lu Yu
- Mahim Mathur
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- Sunil Subedi
- Todd Toops
- Tolga Aytug
- Viswadeep Lebakula
- Wei Zhang
- William Alexander
- Yang Liu
- Yaocai Bai
- Yarom Polsky
- Yasemin Kaygusuz
- Yonghao Gui
- Zhijia Du
- Zhili Feng

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.

Mechanism-Based Trait Inference in Plants Using Multiplex Networks, AI Agents, and Translation Tools
This system enables the modular design and optimization of complex plant traits by organizing genes and regulatory mechanisms into interpretable clades.

How fast is a vehicle traveling? For different reasons, this basic question is of interest to other motorists, insurance companies, law enforcement, traffic planners, and security personnel. Solutions to this measurement problem suffer from a number of constraints.

Mechanism-Based Biological Inference via Multiplex Networks, AI Agents and Cross-Species Translation
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

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.

Enzymes for synthesis of sequenced oligoamide triads and tetrads that can be polymerized into sequenced copolyamides.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

We tested 48 diverse homologs of SfaB and identified several enzyme variants that were more active than SfaB at synthesizing the nylon-6,6 monomer.

We have developed thermophilic bacterial strains that can break down PET and consume ethylene glycol and TPA. This will help enable modern, petroleum-derived plastics to be converted into value-added chemicals.

Misalignment issues of the PWPT system have been addressed. The intercell power transformer has been introduced in order to improve load sharing of the system during a mismatch of the primary single-phase coil and the secondary multi-phase coils.