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Researcher
- Adam M Guss
- Costas Tsouris
- Andrew Sutton
- Josh Michener
- Michelle Kidder
- Radu Custelcean
- Edgar Lara-Curzio
- Gyoung Gug Jang
- Liangyu Qian
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- Andrzej Nycz
- Austin L Carroll
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- Eric Wolfe
- Gs Jung
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Kuntal De
- Michael Cordon
- Rishi Pillai
- Serena Chen
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- Steven J Zinkle
- Udaya C Kalluri
- Vilmos Kertesz
- Xianhui Zhao
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- Yanli Wang
- Yutai Kato
- Zhili Feng
- Ajibola Lawal
- Alex Roschli
- Alex Walters
- Alice Perrin
- Benjamin Manard
- Ben Lamm
- Beth L Armstrong
- Bishnu Prasad Thapaliya
- Brandon Johnston
- Brian Sanders
- Canhai Lai
- Charles F Weber
- Charles Hawkins
- Chris Masuo
- Christopher Ledford
- Clay Leach
- Dali Wang
- Debjani Pal
- Dhruba Deka
- Erin Webb
- Evin Carter
- Frederic Vautard
- Gerald Tuskan
- Halil Tekinalp
- Ilenne Del Valle Kessra
- James Parks II
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- Jeffrey Einkauf
- Jeremy Malmstead
- Jerry Parks
- Jian Chen
- Jiheon Jun
- Joanna Mcfarlane
- Joanna Tannous
- Jonathan Willocks
- Jong K Keum
- Kitty K Mccracken
- Kyle Davis
- Marie Romedenne
- Matt Vick
- Meghan Lamm
- Melanie Moses-DeBusk Debusk
- Mengdawn Cheng
- Michael Kirka
- Mina Yoon
- Nandhini Ashok
- Nidia Gallego
- Oluwafemi Oyedeji
- Patxi Fernandez-Zelaia
- Paul Abraham
- Paula Cable-Dunlap
- Priyanshi Agrawal
- Ryan Dehoff
- Sanjita Wasti
- Shajjad Chowdhury
- Sreshtha Sinha Majumdar
- Tim Graening Seibert
- Tolga Aytug
- Tyler Smith
- Vandana Rallabandi
- Vincent Paquit
- Weicheng Zhong
- Wei Tang
- Wei Zhang
- William Alexander
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- Yan-Ru Lin
- Yang Liu
- Yasemin Kaygusuz
- Yeonshil Park
- 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.

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.

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.

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.