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Researcher
- Tomonori Saito
- Adam M Guss
- Sheng Dai
- Anisur Rahman
- Jeff Foster
- Parans Paranthaman
- Bishnu Prasad Thapaliya
- Diana E Hun
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- Zhenzhen Yang
- Craig A Bridges
- Liangyu Qian
- Mary Danielson
- Shannon M Mahurin
- Syed Islam
- Zoriana Demchuk
- Alexei P Sokolov
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Catalin Gainaru
- Daniel Jacobson
- Edgar Lara-Curzio
- Ilja Popovs
- Isaiah Dishner
- John F Cahill
- Kuntal De
- Li-Qi Qiu
- Michelle Lehmann
- Natasha Ghezawi
- Ramesh Bhave
- Saurabh Prakash Pethe
- Serena Chen
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Som Shrestha
- Soydan Ozcan
- Tolga Aytug
- Udaya C Kalluri
- Uday Vaidya
- Vera Bocharova
- Vilmos Kertesz
- Xianhui Zhao
- Xiaohan Yang
- Achutha Tamraparni
- Ahmed Hassen
- Alex Roschli
- Alex Walters
- Andre O Desjarlais
- Anees Alnajjar
- Benjamin L Doughty
- Ben Lamm
- Beth L Armstrong
- Brian Sanders
- Bruce Moyer
- Chris Masuo
- Clay Leach
- Corson Cramer
- Dali Wang
- Debjani Pal
- Eric Wolfe
- Erin Webb
- Evin Carter
- Frederic Vautard
- Gerald Tuskan
- Halil Tekinalp
- Ilenne Del Valle Kessra
- Jayanthi Kumar
- Jay D Huenemann
- Jeremy Malmstead
- Jerry Parks
- Jian Chen
- Joanna Tannous
- Karen Cortes Guzman
- Kaustubh Mungale
- Kitty K Mccracken
- Kuma Sumathipala
- Kyle Davis
- Meghan Lamm
- Mengdawn Cheng
- Mengjia Tang
- Nageswara Rao
- Nandhini Ashok
- Nick Galan
- Nick Gregorich
- Nidia Gallego
- Oluwafemi Oyedeji
- Paul Abraham
- Paula Cable-Dunlap
- Phillip Halstenberg
- Robert Sacci
- Sanjita Wasti
- Santa Jansone-Popova
- Santanu Roy
- Shailesh Dangwal
- Shajjad Chowdhury
- Subhamay Pramanik
- Tao Hong
- Tyler Smith
- Uvinduni Premadasa
- 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.

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.

PET is used in many commercial products, but only a fraction is mechanically recycled, and even less is chemically recycled.

Developed a novel energy efficient, cost-effective, environmentally friendly process for separation of lithium from end-of-life lithium-ion batteries.

This work presents a novel method for upcycling polyethylene terephthalate (PET) waste into sustainable vitrimer materials. By combining bio-based crosslinkers with our PET-based macromonomer, we developed dynamically bonded plastics that are renewably sourced.

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.