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Researcher
- Adam M Guss
- Sheng Dai
- Kashif Nawaz
- Parans Paranthaman
- Bishnu Prasad Thapaliya
- Joe Rendall
- Josh Michener
- Zhenzhen Yang
- Zhiming Gao
- Craig A Bridges
- Kai Li
- Liangyu Qian
- Praveen Cheekatamarla
- Shannon M Mahurin
- Vishaldeep Sharma
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Daniel Jacobson
- Edgar Lara-Curzio
- Ilja Popovs
- Isaiah Dishner
- James Manley
- Jamieson Brechtl
- Jeff Foster
- John F Cahill
- Kuntal De
- Kyle Gluesenkamp
- Li-Qi Qiu
- Mingkan Zhang
- Saurabh Prakash Pethe
- Serena Chen
- Soydan Ozcan
- Tolga Aytug
- Udaya C Kalluri
- Uday Vaidya
- Vilmos Kertesz
- Xianhui Zhao
- Xiaohan Yang
- Ahmed Hassen
- Alexei P Sokolov
- Alex Roschli
- Alex Walters
- Anees Alnajjar
- Ben Lamm
- Beth L Armstrong
- Bo Shen
- Brian Fricke
- Brian Sanders
- Bruce Moyer
- Cheng-Min Yang
- Chris Masuo
- Clay Leach
- Dali Wang
- Debjani Pal
- Easwaran Krishnan
- Eric Wolfe
- Erin Webb
- Evin Carter
- Frederic Vautard
- Gerald Tuskan
- Halil Tekinalp
- Hongbin Sun
- Huixin (anna) Jiang
- Ilenne Del Valle Kessra
- Jayanthi Kumar
- Jay D Huenemann
- Jeremy Malmstead
- Jerry Parks
- Jian Chen
- Joanna Tannous
- Kaustubh Mungale
- Kitty K Mccracken
- Kyle Davis
- Meghan Lamm
- Melanie Moses-DeBusk Debusk
- Mengdawn Cheng
- Muneeshwaran Murugan
- Nageswara Rao
- Nandhini Ashok
- Nickolay Lavrik
- Nidia Gallego
- Oluwafemi Oyedeji
- Paul Abraham
- Paula Cable-Dunlap
- Pengtao Wang
- Phillip Halstenberg
- Sanjita Wasti
- Santa Jansone-Popova
- Shajjad Chowdhury
- Subhamay Pramanik
- Tao Hong
- Tomonori Saito
- Troy Seay
- Tyler Smith
- Vincent Paquit
- Vlastimil Kunc
- Wei Zhang
- William Alexander
- Yang Liu
- Yasemin Kaygusuz
- 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.

US coastal and island communities have vulnerable energy infrastructure and high energy costs, which are exacerbated by climate change.

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