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Researcher
- Adam M Guss
- Ilias Belharouak
- Josh Michener
- Liangyu Qian
- Alexey Serov
- Ali Abouimrane
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Daniel Jacobson
- Isaiah Dishner
- Jaswinder Sharma
- Jeff Foster
- John F Cahill
- Kuntal De
- Marm Dixit
- Ruhul Amin
- Serena Chen
- Soydan Ozcan
- Udaya C Kalluri
- Vilmos Kertesz
- Xiang Lyu
- Xianhui Zhao
- Xiaohan Yang
- Alex Roschli
- Alex Walters
- Amit K Naskar
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- Beth L Armstrong
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- Dali Wang
- David L Wood III
- Debjani Pal
- Erin Webb
- Evin Carter
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- Georgios Polyzos
- Gerald Tuskan
- Halil Tekinalp
- Holly Humphrey
- Hongbin Sun
- Ilenne Del Valle Kessra
- James Szybist
- Jay D Huenemann
- Jeremy Malmstead
- Jerry Parks
- Jian Chen
- Joanna Tannous
- Jonathan Willocks
- Junbin Choi
- Khryslyn G Araño
- Kitty K Mccracken
- Kyle Davis
- Logan Kearney
- Loren L Funk
- Lu Yu
- Meghan Lamm
- Mengdawn Cheng
- Michael Toomey
- Michelle Lehmann
- Nance Ericson
- Nandhini Ashok
- Nihal Kanbargi
- Oluwafemi Oyedeji
- Paul Abraham
- Paula Cable-Dunlap
- Paul Groth
- Polad Shikhaliev
- Pradeep Ramuhalli
- Ritu Sahore
- Sanjita Wasti
- Theodore Visscher
- Todd Toops
- Tyler Smith
- Vincent Paquit
- Vladislav N Sedov
- Wei Zhang
- William Alexander
- Yacouba Diawara
- Yang Liu
- Yaocai Bai
- Yasemin Kaygusuz
- Zhijia Du
- Zhili Feng

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.

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.

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.

ORNL has developed a large area thermal neutron detector based on 6LiF/ZnS(Ag) scintillator coupled with wavelength shifting fibers. The detector uses resistive charge divider-based position encoding.