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Researcher
- Adam M Guss
- Sheng Dai
- Parans Paranthaman
- Ryan Dehoff
- Bishnu Prasad Thapaliya
- Josh Michener
- Zhenzhen Yang
- Craig A Bridges
- Liangyu Qian
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- Vincent Paquit
- Ahmed Hassen
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Clay Leach
- Daniel Jacobson
- Edgar Lara-Curzio
- Ilja Popovs
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Kuntal De
- Li-Qi Qiu
- Michael Kirka
- Saurabh Prakash Pethe
- Serena Chen
- Soydan Ozcan
- Tolga Aytug
- Udaya C Kalluri
- Uday Vaidya
- Vilmos Kertesz
- Vlastimil Kunc
- Xianhui Zhao
- Xiaohan Yang
- Adam Stevens
- Alexei P Sokolov
- Alex Plotkowski
- Alex Roschli
- Alex Walters
- Alice Perrin
- Amir K Ziabari
- Amit Shyam
- Andres Marquez Rossy
- Anees Alnajjar
- Ben Lamm
- Beth L Armstrong
- Blane Fillingim
- Brian Post
- Brian Sanders
- Bruce Moyer
- Chris Masuo
- Christopher Ledford
- Dali Wang
- David Nuttall
- Debjani Pal
- Eric Wolfe
- Erin Webb
- Evin Carter
- Frederic Vautard
- Gerald Tuskan
- Halil Tekinalp
- Ilenne Del Valle Kessra
- James Haley
- Jayanthi Kumar
- Jay D Huenemann
- Jeremy Malmstead
- Jerry Parks
- Jian Chen
- Joanna Tannous
- Kaustubh Mungale
- Kitty K Mccracken
- Kyle Davis
- Meghan Lamm
- Mengdawn Cheng
- Nageswara Rao
- Nandhini Ashok
- Nidia Gallego
- Oluwafemi Oyedeji
- Patxi Fernandez-Zelaia
- Paul Abraham
- Paula Cable-Dunlap
- Peeyush Nandwana
- Philip Bingham
- Phillip Halstenberg
- Rangasayee Kannan
- Roger G Miller
- Sanjita Wasti
- Santa Jansone-Popova
- Sarah Graham
- Shajjad Chowdhury
- Subhamay Pramanik
- Sudarsanam Babu
- Tao Hong
- Tomonori Saito
- Tyler Smith
- Venkatakrishnan Singanallur Vaidyanathan
- Vipin Kumar
- Wei Zhang
- William Alexander
- William Peter
- Yan-Ru Lin
- Yang Liu
- Yasemin Kaygusuz
- Ying Yang
- Yukinori Yamamoto
- 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.

A novel strategy was developed to solve the limitations of the current sorbent systems in CO2 chemisorption in terms of energy consumption in CO2 release and improved CO2 uptake capacity.

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 introduces a novel sintering approach to produce hard carbon with a finely tuned microstructure, derived from biomass and plastic waste.

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