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Researcher
- Adam M Guss
- Sheng Dai
- Parans Paranthaman
- Bishnu Prasad Thapaliya
- Josh Michener
- Rafal Wojda
- Zhenzhen Yang
- Craig A Bridges
- Liangyu Qian
- Prasad Kandula
- Shannon M Mahurin
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Daniel Jacobson
- Edgar Lara-Curzio
- Ilja Popovs
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Kuntal De
- Li-Qi Qiu
- Saurabh Prakash Pethe
- Serena Chen
- Shajjad Chowdhury
- Soydan Ozcan
- Tolga Aytug
- Udaya C Kalluri
- Uday Vaidya
- Vandana Rallabandi
- Vilmos Kertesz
- Xianhui Zhao
- Xiaohan Yang
- Ahmed Hassen
- Alexei P Sokolov
- Alex Plotkowski
- Alex Roschli
- Alex Walters
- Anees Alnajjar
- Ben Lamm
- Beth L Armstrong
- Brian Sanders
- Bruce Moyer
- Chris Masuo
- Christopher Fancher
- Clay Leach
- 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
- Kaustubh Mungale
- Kitty K Mccracken
- Kyle Davis
- Marcio Magri Kimpara
- Meghan Lamm
- Mengdawn Cheng
- Mostak Mohammad
- Nageswara Rao
- Nandhini Ashok
- Nidia Gallego
- Oluwafemi Oyedeji
- Omer Onar
- Paul Abraham
- Paula Cable-Dunlap
- Phillip Halstenberg
- Praveen Kumar
- Sanjita Wasti
- Santa Jansone-Popova
- Subhamay Pramanik
- Subho Mukherjee
- Suman Debnath
- Tao Hong
- Tomonori Saito
- Tyler Smith
- 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.

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.

Misalignment issues of the PWPT system have been addressed. The intercell power transformer has been introduced in order to improve load sharing of the system during a mismatch of the primary single-phase coil and the secondary multi-phase coils.

A novel strategy was developed to solve the limitations of the current sorbent systems in CO2 chemisorption in terms of energy consumption in CO2 release and improved CO2 uptake capacity.

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 introduces a novel sintering approach to produce hard carbon with a finely tuned microstructure, derived from biomass and plastic waste.