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Researcher
- Adam M Guss
- Gabriel Veith
- Guang Yang
- Josh Michener
- Michelle Lehmann
- Beth L Armstrong
- Liangyu Qian
- Robert Sacci
- Srikanth Yoginath
- Tomonori Saito
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Chad Steed
- Daniel Jacobson
- Ethan Self
- Isaiah Dishner
- James J Nutaro
- Jaswinder Sharma
- Jeff Foster
- John F Cahill
- Junghoon Chae
- Kuntal De
- Pratishtha Shukla
- Serena Chen
- Sergiy Kalnaus
- Soydan Ozcan
- Sudip Seal
- Travis Humble
- Udaya C Kalluri
- Vilmos Kertesz
- Xianhui Zhao
- Xiaohan Yang
- Alexandra Moy
- Alexey Serov
- Alex Roschli
- Alex Walters
- Ali Passian
- Amanda Musgrove
- Amit K Naskar
- Anisur Rahman
- Anna M Mills
- Annetta Burger
- Benjamin L Doughty
- Brian Sanders
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Chanho Kim
- Chris Masuo
- Clay Leach
- Dali Wang
- Debjani Pal
- Debraj De
- Erin Webb
- Evin Carter
- Gautam Malviya Thakur
- Georgios Polyzos
- Gerald Tuskan
- Halil Tekinalp
- Harper Jordan
- Ilenne Del Valle Kessra
- Ilias Belharouak
- James Gaboardi
- Jay D Huenemann
- Jeremy Malmstead
- Jerry Parks
- Jesse McGaha
- Jian Chen
- Joanna Tannous
- Joel Asiamah
- Joel Dawson
- Jun Yang
- Kevin Sparks
- Khryslyn G Araño
- Kitty K Mccracken
- Kyle Davis
- Liz McBride
- Logan Kearney
- Matthew S Chambers
- Mengdawn Cheng
- Michael Toomey
- Nance Ericson
- Nancy Dudney
- Nandhini Ashok
- Nihal Kanbargi
- Oluwafemi Oyedeji
- Pablo Moriano Salazar
- Paul Abraham
- Paula Cable-Dunlap
- Peeyush Nandwana
- Rangasayee Kannan
- Samudra Dasgupta
- Sanjita Wasti
- Todd Thomas
- Tomas Grejtak
- Tyler Smith
- Varisara Tansakul
- Vera Bocharova
- Vincent Paquit
- Wei Zhang
- William Alexander
- Xiang Lyu
- Xiuling Nie
- Yang Liu
- Yasemin Kaygusuz
- Yiyu Wang
- 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.

The present invention is a carbon nanofiber composite for use as the cathode matrix in an alkali-metal polysulfide flow battery. The CNF composite demonstrates an improvement in sulfur utilization compared to carbon paper alone.

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.

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

Process to coat air and or moisture sensitive solid electrolytes for all solid state batteries.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

This invention utilizes a custom-synthesized vinyl trifluoromethanesulfonimide (VTFSI) salt and an alcohol containing small molecule or polymer for the synthesis of novel single-ion conducting polymer electrolytes for the use in Li-ion and beyond Li-ion batteries, fuel cells,

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.