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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
- Tomonori Saito
- William Carter
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Walters
- Anton Ievlev
- Arpan Biswas
- Bekki Mills
- Bruce Hannan
- Dave Willis
- Diana E Hun
- Easwaran Krishnan
- Gerd Duscher
- James Manley
- Jamieson Brechtl
- Joe Rendall
- John Wenzel
- Joshua Vaughan
- Karen Cortes Guzman
- Kashif Nawaz
- Keju An
- Kuma Sumathipala
- Liam Collins
- Loren L Funk
- Luke Chapman
- Mahshid Ahmadi-Kalinina
- Mark Loguillo
- Marti Checa Nualart
- Matthew B Stone
- Mengjia Tang
- Muneeshwaran Murugan
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Peter Wang
- Polad Shikhaliev
- Sai Mani Prudhvi Valleti
- Shannon M Mahurin
- Stephen Jesse
- Sumner Harris
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Utkarsh Pratiush
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vladislav N Sedov
- Yacouba Diawara
- Yun Liu
- Zoriana Demchuk

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.

Estimates based on the U.S. Department of Energy (DOE) test procedure for water heaters indicate that the equivalent of 350 billion kWh worth of hot water is discarded annually through drains, and a large portion of this energy is, in fact, recoverable.

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.

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.

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.