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Researcher
- Adam M Guss
- Rafal Wojda
- Isabelle Snyder
- Josh Michener
- Liangyu Qian
- Prasad Kandula
- Srikanth Yoginath
- Subho Mukherjee
- Adam Siekmann
- Ali Riza Ekti
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Chad Steed
- Daniel Jacobson
- Emilio Piesciorovsky
- Isaiah Dishner
- James J Nutaro
- Jeff Foster
- John F Cahill
- Junghoon Chae
- Kuntal De
- Mostak Mohammad
- Omer Onar
- Pratishtha Shukla
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- Serena Chen
- Soydan Ozcan
- Sudip Seal
- Suman Debnath
- Travis Humble
- Udaya C Kalluri
- Vandana Rallabandi
- Vilmos Kertesz
- Vivek Sujan
- Xianhui Zhao
- Xiaohan Yang
- Yaosuo Xue
- Aaron Werth
- Aaron Wilson
- Alex Plotkowski
- Alex Roschli
- Alex Walters
- Ali Passian
- Annetta Burger
- Brian Sanders
- Bryan Lim
- Burak Ozpineci
- Carter Christopher
- Chance C Brown
- Chris Masuo
- Christopher Fancher
- Clay Leach
- Dali Wang
- Debjani Pal
- Debraj De
- Elizabeth Piersall
- Emrullah Aydin
- Erin Webb
- Eve Tsybina
- Evin Carter
- Fei Wang
- Gary Hahn
- Gautam Malviya Thakur
- Gerald Tuskan
- Halil Tekinalp
- Harper Jordan
- Ilenne Del Valle Kessra
- Isaac Sikkema
- James Gaboardi
- Jay D Huenemann
- Jeremy Malmstead
- Jerry Parks
- Jesse McGaha
- Jian Chen
- Jin Dong
- Joanna Tannous
- Joel Asiamah
- Joel Dawson
- Joseph Olatt
- Kevin Sparks
- Kitty K Mccracken
- Kunal Mondal
- Kyle Davis
- Liz McBride
- Mahim Mathur
- Marcio Magri Kimpara
- Mengdawn Cheng
- Mingyan Li
- Nance Ericson
- Nandhini Ashok
- Nils Stenvig
- Oluwafemi Oyedeji
- Oscar Martinez
- Ozgur Alaca
- Pablo Moriano Salazar
- Paul Abraham
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- Sunil Subedi
- Todd Thomas
- Tomas Grejtak
- Tyler Smith
- Varisara Tansakul
- Vincent Paquit
- Viswadeep Lebakula
- Wei Zhang
- William Alexander
- Xiuling Nie
- Yang Liu
- Yarom Polsky
- Yasemin Kaygusuz
- Yiyu Wang
- Yonghao Gui
- 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.

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

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.

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 technology can help to increase number of application areas of Wireless Power Transfer systems. It can be applied to consumer electronics, defense industry, automotive industry etc.