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Researcher
- Adam M Guss
- Beth L Armstrong
- Ryan Dehoff
- Josh Michener
- Alex Plotkowski
- Amit Shyam
- Jun Qu
- Liangyu Qian
- Michael Kirka
- Vincent Paquit
- Alice Perrin
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Christopher Ledford
- Clay Leach
- Corson Cramer
- Daniel Jacobson
- Isaiah Dishner
- James A Haynes
- Jeff Foster
- John F Cahill
- Kuntal De
- Meghan Lamm
- Peeyush Nandwana
- Rangasayee Kannan
- Serena Chen
- Soydan Ozcan
- Steve Bullock
- Sumit Bahl
- Tomas Grejtak
- Udaya C Kalluri
- Vilmos Kertesz
- Xianhui Zhao
- Xiaohan Yang
- Ying Yang
- Adam Stevens
- Ahmed Hassen
- Alex Roschli
- Alex Walters
- Amir K Ziabari
- Andres Marquez Rossy
- Ben Lamm
- Blane Fillingim
- Brian Post
- Brian Sanders
- Bryan Lim
- Chris Masuo
- Dali Wang
- David J Mitchell
- David Nuttall
- Debjani Pal
- Erin Webb
- Ethan Self
- Evin Carter
- Gabriel Veith
- Gerald Tuskan
- Gerry Knapp
- Halil Tekinalp
- Ilenne Del Valle Kessra
- James Haley
- James Klett
- Jay D Huenemann
- Jeremy Malmstead
- Jerry Parks
- Jian Chen
- Joanna Tannous
- Jordan Wright
- Jovid Rakhmonov
- Khryslyn G Araño
- Kitty K Mccracken
- Kyle Davis
- Marm Dixit
- Matthew S Chambers
- Mengdawn Cheng
- Nancy Dudney
- Nandhini Ashok
- Nicholas Richter
- Oluwafemi Oyedeji
- Patxi Fernandez-Zelaia
- Paul Abraham
- Paula Cable-Dunlap
- Philip Bingham
- Roger G Miller
- Sanjita Wasti
- Sarah Graham
- Sergiy Kalnaus
- Shajjad Chowdhury
- Sudarsanam Babu
- Sunyong Kwon
- Tolga Aytug
- Trevor Aguirre
- Tyler Smith
- Venkatakrishnan Singanallur Vaidyanathan
- Vipin Kumar
- Vlastimil Kunc
- Wei Zhang
- William Alexander
- William Peter
- Yan-Ru Lin
- Yang Liu
- Yasemin Kaygusuz
- Yiyu Wang
- 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.

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.

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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