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Researcher
- Adam M Guss
- Ilias Belharouak
- Peeyush Nandwana
- Josh Michener
- Liangyu Qian
- Alexey Serov
- Ali Abouimrane
- Amit Shyam
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Blane Fillingim
- Brian Post
- Carrie Eckert
- Daniel Jacobson
- Isaiah Dishner
- Jaswinder Sharma
- Jeff Foster
- John F Cahill
- Kuntal De
- Lauren Heinrich
- Marm Dixit
- Rangasayee Kannan
- Ruhul Amin
- Serena Chen
- Soydan Ozcan
- Sudarsanam Babu
- Thomas Feldhausen
- Udaya C Kalluri
- Vilmos Kertesz
- Xiang Lyu
- Xianhui Zhao
- Xiaohan Yang
- Yousub Lee
- Alex Plotkowski
- Alex Roschli
- Alex Walters
- Amit K Naskar
- Andres Marquez Rossy
- Ben LaRiviere
- Beth L Armstrong
- Brian Sanders
- Bruce A Pint
- Bryan Lim
- Chris Masuo
- Christopher Fancher
- Clay Leach
- Dali Wang
- David L Wood III
- Debjani Pal
- Erin Webb
- Evin Carter
- Gabriel Veith
- Georgios Polyzos
- Gerald Tuskan
- Gordon Robertson
- Halil Tekinalp
- Holly Humphrey
- Hongbin Sun
- Ilenne Del Valle Kessra
- James Szybist
- Jay D Huenemann
- Jay Reynolds
- Jeff Brookins
- Jeremy Malmstead
- Jerry Parks
- Jian Chen
- Joanna Tannous
- Jonathan Willocks
- Junbin Choi
- Khryslyn G Araño
- Kitty K Mccracken
- Kyle Davis
- Logan Kearney
- 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
- Peter Wang
- Pradeep Ramuhalli
- Ritu Sahore
- Ryan Dehoff
- Sanjita Wasti
- Steven J Zinkle
- Tim Graening Seibert
- Todd Toops
- Tomas Grejtak
- Tyler Smith
- Vincent Paquit
- Weicheng Zhong
- Wei Tang
- Wei Zhang
- William Alexander
- Xiang Chen
- Yang Liu
- Yanli Wang
- Yaocai Bai
- Yasemin Kaygusuz
- Ying Yang
- Yiyu Wang
- Yutai Kato
- 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.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.