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Researcher
- Adam M Guss
- Rama K Vasudevan
- Josh Michener
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Kyle Kelley
- Liangyu Qian
- Maxim A Ziatdinov
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- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Daniel Jacobson
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Kashif Nawaz
- Kuntal De
- Serena Chen
- Soydan Ozcan
- Stephen Jesse
- Udaya C Kalluri
- Vilmos Kertesz
- Xianhui Zhao
- Xiaohan Yang
- Alexander I Kolesnikov
- Alex Roschli
- Alex Walters
- An-Ping Li
- Andrew Lupini
- Anton Ievlev
- Arpan Biswas
- Bekki Mills
- Benjamin Lawrie
- Bogdan Dryzhakov
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- Chengyun Hua
- Chris Masuo
- Christopher Rouleau
- Clay Leach
- Costas Tsouris
- Dali Wang
- Debangshu Mukherjee
- Debjani Pal
- Erin Webb
- Evin Carter
- Gabor Halasz
- Gerald Tuskan
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Halil Tekinalp
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilenne Del Valle Kessra
- Ilia N Ivanov
- Ivan Vlassiouk
- Jamieson Brechtl
- Jay D Huenemann
- Jeremy Malmstead
- Jerry Parks
- Jewook Park
- Jian Chen
- Jiaqiang Yan
- Joanna Tannous
- John Wenzel
- Jong K Keum
- Kai Li
- Kitty K Mccracken
- Kyle Davis
- Kyle Gluesenkamp
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Mark Loguillo
- Marti Checa Nualart
- Matthew B Stone
- Md Inzamam Ul Haque
- Mengdawn Cheng
- Mina Yoon
- Nandhini Ashok
- Neus Domingo Marimon
- Nickolay Lavrik
- Oluwafemi Oyedeji
- Ondrej Dyck
- Paul Abraham
- Paula Cable-Dunlap
- Petro Maksymovych
- Radu Custelcean
- Saban Hus
- Sai Mani Prudhvi Valleti
- Sanjita Wasti
- Steven Randolph
- Sumner Harris
- Tyler Smith
- Utkarsh Pratiush
- Victor Fanelli
- Vincent Paquit
- Wei Zhang
- William Alexander
- Yang Liu
- Yasemin Kaygusuz
- Zhili Feng
- Zhiming Gao

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.

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp

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.

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.