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Researcher
- Soydan Ozcan
- Halil Tekinalp
- Meghan Lamm
- Vlastimil Kunc
- Ahmed Hassen
- Umesh N MARATHE
- Anees Alnajjar
- Dan Coughlin
- Katie Copenhaver
- Steven Guzorek
- Uday Vaidya
- Vipin Kumar
- Alex Roschli
- Beth L Armstrong
- Daniel Jacobson
- David Nuttall
- Georges Chahine
- Matt Korey
- Nadim Hmeidat
- Nageswara Rao
- Pum Kim
- Sanjita Wasti
- Steve Bullock
- Tyler Smith
- Xianhui Zhao
- Adwoa Owusu
- Akash Phadatare
- Amber Hubbard
- Ben Lamm
- Brian Post
- Brittany Rodriguez
- Cait Clarkson
- Craig A Bridges
- Erin Webb
- Evin Carter
- Gabriel Veith
- Jeremy Malmstead
- Jesse Heineman
- Jim Tobin
- Josh Crabtree
- Khryslyn G Araño
- Kim Sitzlar
- Kitty K Mccracken
- Mariam Kiran
- Marm Dixit
- Oluwafemi Oyedeji
- Paritosh Mhatre
- Sana Elyas
- Segun Isaac Talabi
- Shajjad Chowdhury
- Sheng Dai
- Subhabrata Saha
- Tolga Aytug

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

The eDICEML digital twin is proposed which emulates networks and hosts of an instrument-computing ecosystem. It runs natively on an ecosystem’s host or as a portable virtual machine.

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.

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

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.

We proposed and developed a carbon nanofiber (CNF) suspension-based sizing agent, that resulted in improved interfacial, and mechanical properties. The CNF dispersed sizing agent can be applied in a relatively simpler way (by passing the continuous tow through it).

The technologies polymer cellulose nanocomposite mats and process for making same.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.