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Researcher
- Tomonori Saito
- Sheng Dai
- Andrzej Nycz
- Adam M Guss
- Costas Tsouris
- Radu Custelcean
- Guang Yang
- Amit K Naskar
- Anisur Rahman
- Chris Masuo
- Diana E Hun
- Jeff Foster
- Parans Paranthaman
- Ryan Dehoff
- Syed Islam
- Vincent Paquit
- Zhenzhen Yang
- Beth L Armstrong
- Bishnu Prasad Thapaliya
- Edgar Lara-Curzio
- Gabriel Veith
- Gyoung Gug Jang
- Josh Michener
- Logan Kearney
- Michelle Lehmann
- Peter Wang
- Ramesh Bhave
- Alex Walters
- Benjamin L Doughty
- Benjamin Manard
- Brian Post
- Bruce Moyer
- Craig A Bridges
- Frederic Vautard
- Ilja Popovs
- Jaswinder Sharma
- Jeffrey Einkauf
- Lawrence {Larry} M Anovitz
- Liangyu Qian
- Mary Danielson
- Michael Kirka
- Michael Toomey
- Rangasayee Kannan
- Robert Sacci
- Shannon M Mahurin
- Venkatakrishnan Singanallur Vaidyanathan
- Zoriana Demchuk
- Adam Stevens
- Alexander I Wiechert
- Alexei P Sokolov
- Alexey Serov
- Alex Roschli
- Amir K Ziabari
- Austin L Carroll
- Biruk A Feyissa
- Brian Gibson
- Carrie Eckert
- Catalin Gainaru
- Clay Leach
- Cyril Thompson
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- Eric Wolfe
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- Gs Jung
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- Kuntal De
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- Luke Meyer
- Natasha Ghezawi
- Nihal Kanbargi
- Nikki Thiele
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- Philip Bingham
- Santa Jansone-Popova
- Saurabh Prakash Pethe
- Serena Chen
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- Shailesh Dangwal
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Som Shrestha
- Soydan Ozcan
- Tolga Aytug
- Udaya C Kalluri
- Uday Vaidya
- Vera Bocharova
- Vilmos Kertesz
- William Carter
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- Corson Cramer
- Dali Wang
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ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.

The invention teaches a method for separating uranium and the transuranic actinides neptunium, plutonium, and americium from nitric acid solutions by co-crystallization upon lowering the temperature from 60 C to 20 C or lower.

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.

The present invention is a carbon nanofiber composite for use as the cathode matrix in an alkali-metal polysulfide flow battery. The CNF composite demonstrates an improvement in sulfur utilization compared to carbon paper alone.

Efficient thermal management in polymers is essential for developing lightweight, high-strength materials with multifunctional capabilities.

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.

Process to coat air and or moisture sensitive solid electrolytes for all solid state batteries.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

This invention utilizes a custom-synthesized vinyl trifluoromethanesulfonimide (VTFSI) salt and an alcohol containing small molecule or polymer for the synthesis of novel single-ion conducting polymer electrolytes for the use in Li-ion and beyond Li-ion batteries, fuel cells,

The disclosure is directed to optimized fiber geometries for use in carbon fiber reinforced polymers with increased compressive strength per unit cost. The disclosed fiber geometries reduce the material processing costs as well as increase the compressive strength.