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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Andrzej Nycz
- Chris Masuo
- Kyle Kelley
- Luke Meyer
- Vlastimil Kunc
- William Carter
- Ahmed Hassen
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Walters
- Anton Ievlev
- Arpan Biswas
- Bekki Mills
- Bruce Hannan
- Dan Coughlin
- Dave Willis
- Gerd Duscher
- Jim Tobin
- John Wenzel
- Josh Crabtree
- Joshua Vaughan
- Keju An
- Kim Sitzlar
- Liam Collins
- Loren L Funk
- Luke Chapman
- Mahshid Ahmadi-Kalinina
- Mark Loguillo
- Marti Checa Nualart
- Matthew B Stone
- Merlin Theodore
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Peter Wang
- Polad Shikhaliev
- Sai Mani Prudhvi Valleti
- Shannon M Mahurin
- Stephen Jesse
- Steven Guzorek
- Subhabrata Saha
- Sumner Harris
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tomonori Saito
- Utkarsh Pratiush
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vipin Kumar
- Vladislav N Sedov
- Yacouba Diawara
- Yun Liu

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp

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 invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

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

Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.

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

A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.

Through the use of splicing methods, joining two different fiber types in the tow stage of the process enables great benefits to the strength of the material change.