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Researcher
- Soydan Ozcan
- Ali Passian
- Halil Tekinalp
- Meghan Lamm
- Vlastimil Kunc
- Ahmed Hassen
- Umesh N MARATHE
- Dan Coughlin
- Joseph Chapman
- Katie Copenhaver
- Nicholas Peters
- Steven Guzorek
- Uday Vaidya
- Vipin Kumar
- Alex Roschli
- Beth L Armstrong
- Daniel Jacobson
- David Nuttall
- Georges Chahine
- Hsuan-Hao Lu
- Joseph Lukens
- Matt Korey
- Muneer Alshowkan
- Nadim Hmeidat
- Pum Kim
- Sanjita Wasti
- Steve Bullock
- Tyler Smith
- Xianhui Zhao
- Adwoa Owusu
- Akash Phadatare
- Amber Hubbard
- Anees Alnajjar
- Ben Lamm
- Brian Post
- Brian Williams
- Brittany Rodriguez
- Cait Clarkson
- Claire Marvinney
- Erin Webb
- Evin Carter
- Gabriel Veith
- Harper Jordan
- Jeremy Malmstead
- Jesse Heineman
- Jim Tobin
- Joel Asiamah
- Joel Dawson
- Josh Crabtree
- Khryslyn G Araño
- Kim Sitzlar
- Kitty K Mccracken
- Mariam Kiran
- Marm Dixit
- Nance Ericson
- Oluwafemi Oyedeji
- Paritosh Mhatre
- Sana Elyas
- Segun Isaac Talabi
- Shajjad Chowdhury
- Srikanth Yoginath
- Subhabrata Saha
- Tolga Aytug
- Varisara Tansakul

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.

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

Technologies directed to polarization agnostic continuous variable quantum key distribution are described.
Contact:
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

The development of quantum networking requires architectures capable of dynamically reconfigurable entanglement distribution to meet diverse user needs and ensure tolerance against transmission disruptions.

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.

Polarization drift in quantum networks is a major issue. Fiber transforms a transmitted signal’s polarization differently depending on its environment.