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Researcher
- Adam M Guss
- Beth L Armstrong
- Gabriel Veith
- Guang Yang
- Josh Michener
- Michelle Lehmann
- Jun Qu
- Lawrence {Larry} M Anovitz
- Liangyu Qian
- Robert Sacci
- Tomonori Saito
- Alex Plotkowski
- Amit Shyam
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Corson Cramer
- Daniel Jacobson
- Ethan Self
- Isaiah Dishner
- James A Haynes
- Jaswinder Sharma
- Jeff Foster
- John F Cahill
- Khryslyn G Araño
- Kuntal De
- Meghan Lamm
- Serena Chen
- Sergiy Kalnaus
- Soydan Ozcan
- Steve Bullock
- Sumit Bahl
- Tomas Grejtak
- Udaya C Kalluri
- Vilmos Kertesz
- Xianhui Zhao
- Xiaohan Yang
- Alexandra Moy
- Alexey Serov
- Alex Roschli
- Alex Walters
- Alice Perrin
- Amanda Musgrove
- Amit K Naskar
- Andrew G Stack
- Anisur Rahman
- Anna M Mills
- Benjamin L Doughty
- Ben Lamm
- Brian Sanders
- Bryan Lim
- Chanho Kim
- Chris Masuo
- Christopher Ledford
- Clay Leach
- Dali Wang
- David J Mitchell
- Debjani Pal
- Erin Webb
- Evin Carter
- Felipe Polo Garzon
- Georgios Polyzos
- Gerald Tuskan
- Gerry Knapp
- Halil Tekinalp
- Ilenne Del Valle Kessra
- Ilias Belharouak
- James Klett
- Jay D Huenemann
- Jeremy Malmstead
- Jerry Parks
- Jian Chen
- Joanna Tannous
- Jordan Wright
- Jovid Rakhmonov
- Juliane Weber
- Jun Yang
- Junyan Zhang
- Kitty K Mccracken
- Kyle Davis
- Logan Kearney
- Marm Dixit
- Matthew S Chambers
- Mengdawn Cheng
- Michael Kirka
- Michael Toomey
- Nancy Dudney
- Nandhini Ashok
- Nicholas Richter
- Nihal Kanbargi
- Oluwafemi Oyedeji
- Paul Abraham
- Paula Cable-Dunlap
- Peeyush Nandwana
- Peng Yang
- Rangasayee Kannan
- Sai Krishna Reddy Adapa
- Sanjita Wasti
- Shajjad Chowdhury
- Sunyong Kwon
- Tolga Aytug
- Trevor Aguirre
- Tyler Smith
- Vera Bocharova
- Vincent Paquit
- Wei Zhang
- William Alexander
- Xiang Lyu
- Yang Liu
- Yasemin Kaygusuz
- Ying Yang
- 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.

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.

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.