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Researcher
- Ahmed Hassen
- Vlastimil Kunc
- Steve Bullock
- Soydan Ozcan
- Steven Guzorek
- Corson Cramer
- Vipin Kumar
- Halil Tekinalp
- Meghan Lamm
- Brian Post
- David Nuttall
- Uday Vaidya
- Umesh N MARATHE
- Beth L Armstrong
- Dan Coughlin
- Greg Larsen
- James Klett
- Katie Copenhaver
- Nadim Hmeidat
- Trevor Aguirre
- Tyler Smith
- Alex Roschli
- Brittany Rodriguez
- Craig Blue
- Daniel Jacobson
- Georges Chahine
- Jim Tobin
- John Lindahl
- Matt Korey
- Pum Kim
- Sanjita Wasti
- Segun Isaac Talabi
- Subhabrata Saha
- Viswadeep Lebakula
- Xianhui Zhao
- Aaron Myers
- Adam Stevens
- Adwoa Owusu
- Akash Phadatare
- Alexandre Sorokine
- Amber Hubbard
- Annetta Burger
- Ben Lamm
- Cait Clarkson
- Carter Christopher
- Chance C Brown
- Charlie Cook
- Christopher Hershey
- Christopher Ledford
- Clinton Stipek
- Daniel Adams
- Daniel Rasmussen
- David J Mitchell
- Debraj De
- Dustin Gilmer
- Erin Webb
- Eve Tsybina
- Evin Carter
- Gabriel Veith
- Gautam Malviya Thakur
- James Gaboardi
- Jeremy Malmstead
- Jesse Heineman
- Jesse McGaha
- Jessica Moehl
- Jordan Wright
- Josh Crabtree
- Julian Charron
- Justin Cazares
- Kevin Sparks
- Khryslyn G Araño
- Kim Sitzlar
- Kitty K Mccracken
- Komal Chawla
- Liz McBride
- Marm Dixit
- Matt Larson
- Merlin Theodore
- Michael Kirka
- Oluwafemi Oyedeji
- Paritosh Mhatre
- Philipe Ambrozio Dias
- Ryan Ogle
- Sana Elyas
- Shajjad Chowdhury
- Sudarsanam Babu
- Taylor Hauser
- Thomas Feldhausen
- Todd Thomas
- Tolga Aytug
- Tomonori Saito
- Tony Beard
- Xiuling Nie

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.

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

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

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.

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.