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Researcher
- Adam M Guss
- Josh Michener
- Edgar Lara-Curzio
- Gurneesh Jatana
- Liangyu Qian
- Ying Yang
- Adam Willoughby
- Andrzej Nycz
- Austin L Carroll
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- Carrie Eckert
- Daniel Jacobson
- Eric Wolfe
- Isaiah Dishner
- James Szybist
- Jeff Foster
- John F Cahill
- Jonathan Willocks
- Kuntal De
- Rishi Pillai
- Serena Chen
- Soydan Ozcan
- Steven J Zinkle
- Todd Toops
- Udaya C Kalluri
- Vilmos Kertesz
- Xianhui Zhao
- Xiaohan Yang
- Yanli Wang
- Yeonshil Park
- Yutai Kato
- Zhili Feng
- Alexander I Wiechert
- Alexey Serov
- Alex Roschli
- Alex Walters
- Alice Perrin
- Benjamin Manard
- Ben Lamm
- Beth L Armstrong
- Bishnu Prasad Thapaliya
- Brandon Johnston
- Brian Sanders
- Charles F Weber
- Charles Hawkins
- Chris Masuo
- Christopher Ledford
- Clay Leach
- Costas Tsouris
- Dali Wang
- Debjani Pal
- Derek Splitter
- Dhruba Deka
- Diana E Hun
- Erin Webb
- Evin Carter
- Frederic Vautard
- Gerald Tuskan
- Gina Accawi
- Haiying Chen
- Halil Tekinalp
- Ilenne Del Valle Kessra
- Jay D Huenemann
- Jeremy Malmstead
- Jerry Parks
- Jian Chen
- Jiheon Jun
- Joanna Mcfarlane
- Joanna Tannous
- Kitty K Mccracken
- Kyle Davis
- Marie Romedenne
- Mark M Root
- Matt Vick
- Meghan Lamm
- Melanie Moses-DeBusk Debusk
- Mengdawn Cheng
- Michael Kirka
- Nandhini Ashok
- Nidia Gallego
- Oluwafemi Oyedeji
- Patxi Fernandez-Zelaia
- Paul Abraham
- Paula Cable-Dunlap
- Philip Boudreaux
- Priyanshi Agrawal
- Ryan Dehoff
- Sanjita Wasti
- Shajjad Chowdhury
- Sreshtha Sinha Majumdar
- Tim Graening Seibert
- Tolga Aytug
- Tyler Smith
- Vandana Rallabandi
- Venkatakrishnan Singanallur Vaidyanathan
- Vincent Paquit
- Weicheng Zhong
- Wei Tang
- Wei Zhang
- William Alexander
- William P Partridge Jr
- Xiang Chen
- Xiang Lyu
- Yan-Ru Lin
- Yang Liu
- Yasemin Kaygusuz
- Yong Chae Lim

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.

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.

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.

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.

By engineering the Serine Integrase Assisted Genome Engineering (SAGE) genetic toolkit in an industrial strain of Aspergillus niger, we have established its proof of principle for applicability in Eukaryotes.

Method to operate a compression ignition engine in dual fuel operation with premixed turbulent flame propagation from low to high loads.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.