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Researcher
- Adam M Guss
- Peeyush Nandwana
- Josh Michener
- Liangyu Qian
- Amit Shyam
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Blane Fillingim
- Brian Post
- Carrie Eckert
- Daniel Jacobson
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Kuntal De
- Lauren Heinrich
- Rangasayee Kannan
- Rob Moore II
- Serena Chen
- Soydan Ozcan
- Sudarsanam Babu
- Thomas Feldhausen
- Udaya C Kalluri
- Vilmos Kertesz
- Xianhui Zhao
- Xiaohan Yang
- Yousub Lee
- Alex Plotkowski
- Alex Roschli
- Alex Walters
- Andres Marquez Rossy
- Benjamin Lawrie
- Brian Sanders
- Bruce A Pint
- Bryan Lim
- Chengyun Hua
- Chris Masuo
- Christopher Fancher
- Clay Leach
- Dali Wang
- Debjani Pal
- Erin Webb
- Evin Carter
- Gabor Halasz
- Gerald Tuskan
- Gordon Robertson
- Halil Tekinalp
- Ilenne Del Valle Kessra
- Jay D Huenemann
- Jay Reynolds
- Jeff Brookins
- Jeremy Malmstead
- Jerry Parks
- Jian Chen
- Jiaqiang Yan
- Joanna Tannous
- Kitty K Mccracken
- Kyle Davis
- Matthew Brahlek
- Mengdawn Cheng
- Nandhini Ashok
- Oluwafemi Oyedeji
- Paul Abraham
- Paula Cable-Dunlap
- Peter Wang
- Petro Maksymovych
- Ryan Dehoff
- Sanjita Wasti
- Steven J Zinkle
- Tim Graening Seibert
- Tomas Grejtak
- Tyler Smith
- Vincent Paquit
- Weicheng Zhong
- Wei Tang
- Wei Zhang
- William Alexander
- Xiang Chen
- Yang Liu
- Yanli Wang
- Yasemin Kaygusuz
- Ying Yang
- Yiyu Wang
- Yutai Kato
- 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.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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

We present a comprehensive muti-technique approach for systematic investigation of enzymes generated by wastewater Comamonas species with hitherto unknown functionality to wards the depolymerization of plastics into bioaccessible products for bacterial metabolism.