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Researcher
- Adam M Guss
- Soydan Ozcan
- Halil Tekinalp
- Meghan Lamm
- Vlastimil Kunc
- Ahmed Hassen
- Andrzej Nycz
- Josh Michener
- Umesh N MARATHE
- Chris Masuo
- Dan Coughlin
- Katie Copenhaver
- Liangyu Qian
- Steven Guzorek
- Uday Vaidya
- Vipin Kumar
- Alex Roschli
- Alex Walters
- Austin L Carroll
- Beth L Armstrong
- Biruk A Feyissa
- Carrie Eckert
- Daniel Jacobson
- David Nuttall
- Georges Chahine
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Kuntal De
- Luke Meyer
- Matt Korey
- Nadim Hmeidat
- Pum Kim
- Sanjita Wasti
- Serena Chen
- Steve Bullock
- Tyler Smith
- Udaya C Kalluri
- Vilmos Kertesz
- William Carter
- Xianhui Zhao
- Xiaohan Yang
- Adwoa Owusu
- Akash Phadatare
- Amber Hubbard
- Ben Lamm
- Brian Post
- Brian Sanders
- Brittany Rodriguez
- Bruce Hannan
- Cait Clarkson
- Clay Leach
- Dali Wang
- Debjani Pal
- Erin Webb
- Evin Carter
- Gabriel Veith
- Gerald Tuskan
- Ilenne Del Valle Kessra
- Jay D Huenemann
- Jeremy Malmstead
- Jerry Parks
- Jesse Heineman
- Jian Chen
- Jim Tobin
- Joanna Tannous
- Josh Crabtree
- Joshua Vaughan
- Khryslyn G Araño
- Kim Sitzlar
- Kitty K Mccracken
- Kyle Davis
- Loren L Funk
- Marm Dixit
- Mengdawn Cheng
- Nandhini Ashok
- Oluwafemi Oyedeji
- Paritosh Mhatre
- Paul Abraham
- Paula Cable-Dunlap
- Peter Wang
- Polad Shikhaliev
- Sana Elyas
- Segun Isaac Talabi
- Shajjad Chowdhury
- Subhabrata Saha
- Theodore Visscher
- Tolga Aytug
- Vincent Paquit
- Vladislav N Sedov
- Wei Zhang
- William Alexander
- Yacouba Diawara
- Yang Liu
- Yasemin Kaygusuz
- Zhili Feng

The technology will offer supportless DIW of complex structures using vinyl ester resin, facilitated by multidirectional 6 axis printing.

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.

Wind turbine blades face a harsh environment in which erosion of the leading edge is a major factor for in-use maintenance. Current industrial practices to address this leading edge erosion are replacement of reinforcing materials upon significant damage infliction.

Through utilizing a two function splice we can increase the splice strength for opposing tows.
Contact:
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.