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Researcher
- Andrzej Nycz
- Chris Masuo
- Daniel Jacobson
- Luke Meyer
- William Carter
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Roschli
- Alex Walters
- Bekki Mills
- Bruce Hannan
- Dave Willis
- Erin Webb
- Evin Carter
- Jeremy Malmstead
- John Wenzel
- Joshua Vaughan
- Keju An
- Kitty K Mccracken
- Loren L Funk
- Luke Chapman
- Mark Loguillo
- Matthew B Stone
- Oluwafemi Oyedeji
- Peter Wang
- Polad Shikhaliev
- Shannon M Mahurin
- Soydan Ozcan
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tomonori Saito
- Tyler Smith
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vladislav N Sedov
- Xianhui Zhao
- Yacouba Diawara
- Yun Liu

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 use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

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.