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Researcher
- Ilias Belharouak
- Ali Abouimrane
- Andrzej Nycz
- Chris Masuo
- Daniel Jacobson
- Luke Meyer
- Ruhul Amin
- William Carter
- Alexander I Kolesnikov
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- Bekki Mills
- Bruce Hannan
- Dave Willis
- David L Wood III
- Georgios Polyzos
- Hongbin Sun
- Jaswinder Sharma
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- Junbin Choi
- Keju An
- Loren L Funk
- Luke Chapman
- Lu Yu
- Mark Loguillo
- Marm Dixit
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- Peter Wang
- Polad Shikhaliev
- Pradeep Ramuhalli
- Shannon M Mahurin
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tomonori Saito
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vladislav N Sedov
- Yacouba Diawara
- Yaocai Bai
- Yun Liu
- Zhijia Du

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 presented a novel apparatus and method for laser beam position detection and pointing stabilization using analog position-sensitive diodes (PSDs).

ORNL has developed a large area thermal neutron detector based on 6LiF/ZnS(Ag) scintillator coupled with wavelength shifting fibers. The detector uses resistive charge divider-based position encoding.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.

Neutron beams are used around the world to study materials for various purposes.