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Researcher
- Adam M Guss
- Josh Michener
- Michael Kirka
- Amit K Naskar
- Liangyu Qian
- Rangasayee Kannan
- Ryan Dehoff
- Adam Stevens
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Christopher Ledford
- Daniel Jacobson
- Isaiah Dishner
- Jaswinder Sharma
- Jeff Foster
- John F Cahill
- Kuntal De
- Logan Kearney
- Michael Toomey
- Nihal Kanbargi
- Peeyush Nandwana
- Serena Chen
- Soydan Ozcan
- Udaya C Kalluri
- Vilmos Kertesz
- Vincent Paquit
- Xianhui Zhao
- Xiaohan Yang
- Alex Roschli
- Alex Walters
- Alice Perrin
- Amir K Ziabari
- Arit Das
- Benjamin L Doughty
- Beth L Armstrong
- Brian Post
- Brian Sanders
- Chris Masuo
- Christopher Bowland
- Clay Leach
- Corson Cramer
- Dali Wang
- Debjani Pal
- Edgar Lara-Curzio
- Erin Webb
- Evin Carter
- Felix L Paulauskas
- Frederic Vautard
- Fred List III
- Gerald Tuskan
- Halil Tekinalp
- Holly Humphrey
- Ilenne Del Valle Kessra
- James Klett
- Jay D Huenemann
- Jeremy Malmstead
- Jerry Parks
- Jian Chen
- Joanna Tannous
- Keith Carver
- Kitty K Mccracken
- Kyle Davis
- Mengdawn Cheng
- Nandhini Ashok
- Oluwafemi Oyedeji
- Patxi Fernandez-Zelaia
- Paul Abraham
- Paula Cable-Dunlap
- Philip Bingham
- Richard Howard
- Robert E Norris Jr
- Roger G Miller
- Sanjita Wasti
- Santanu Roy
- Sarah Graham
- Steve Bullock
- Sudarsanam Babu
- Sumit Gupta
- Thomas Butcher
- Trevor Aguirre
- Tyler Smith
- Uvinduni Premadasa
- Venkatakrishnan Singanallur Vaidyanathan
- Vera Bocharova
- 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.

Efficient thermal management in polymers is essential for developing lightweight, high-strength materials with multifunctional capabilities.

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.

The disclosure is directed to optimized fiber geometries for use in carbon fiber reinforced polymers with increased compressive strength per unit cost. The disclosed fiber geometries reduce the material processing costs as well as increase the compressive strength.

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.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).