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Researcher
- Ahmed Hassen
- Vlastimil Kunc
- Steve Bullock
- Soydan Ozcan
- Steven Guzorek
- Corson Cramer
- Kashif Nawaz
- Vipin Kumar
- Halil Tekinalp
- Meghan Lamm
- Brian Post
- David Nuttall
- Joe Rendall
- Uday Vaidya
- Umesh N MARATHE
- Zhiming Gao
- Beth L Armstrong
- Dan Coughlin
- Greg Larsen
- James Klett
- Kai Li
- Katie Copenhaver
- Nadim Hmeidat
- Praveen Cheekatamarla
- Trevor Aguirre
- Tyler Smith
- Vishaldeep Sharma
- Alex Roschli
- Brittany Rodriguez
- Craig Blue
- Daniel Jacobson
- Georges Chahine
- James Manley
- Jamieson Brechtl
- Jim Tobin
- John Lindahl
- Kyle Gluesenkamp
- Matt Korey
- Mingkan Zhang
- Pum Kim
- Sanjita Wasti
- Segun Isaac Talabi
- Subhabrata Saha
- Xianhui Zhao
- Adam Stevens
- Adwoa Owusu
- Akash Phadatare
- Amber Hubbard
- Ben Lamm
- Bo Shen
- Brian Fricke
- Cait Clarkson
- Charlie Cook
- Cheng-Min Yang
- Christopher Hershey
- Christopher Ledford
- Daniel Rasmussen
- David J Mitchell
- Dustin Gilmer
- Easwaran Krishnan
- Erin Webb
- Evin Carter
- Gabriel Veith
- Hongbin Sun
- Huixin (anna) Jiang
- Jeremy Malmstead
- Jesse Heineman
- Jordan Wright
- Josh Crabtree
- Julian Charron
- Khryslyn G Araño
- Kim Sitzlar
- Kitty K Mccracken
- Komal Chawla
- Marm Dixit
- Melanie Moses-DeBusk Debusk
- Merlin Theodore
- Michael Kirka
- Muneeshwaran Murugan
- Nickolay Lavrik
- Oluwafemi Oyedeji
- Paritosh Mhatre
- Pengtao Wang
- Ryan Ogle
- Sana Elyas
- Shajjad Chowdhury
- Sudarsanam Babu
- Thomas Feldhausen
- Tolga Aytug
- Tomonori Saito
- Tony Beard
- Troy Seay

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.

US coastal and island communities have vulnerable energy infrastructure and high energy costs, which are exacerbated by climate change.

The technologies provide additively manufactured thermal protection system.

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.

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

This manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

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.