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Researcher
- Andrzej Nycz
- Chris Masuo
- Daniel Jacobson
- Luke Meyer
- William Carter
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Walters
- Bekki Mills
- Bruce Hannan
- Dave Willis
- Gerald Tuskan
- Ilenne Del Valle Kessra
- John Wenzel
- Joshua Vaughan
- Keju An
- Loren L Funk
- Luke Chapman
- Mark Loguillo
- Matthew B Stone
- Paul Abraham
- Peter Wang
- Polad Shikhaliev
- Shannon M Mahurin
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tomonori Saito
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vladislav N Sedov
- Xiaohan Yang
- Yacouba Diawara
- Yang Liu
- 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.

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

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

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