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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
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- Annetta Burger
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- Mahshid Ahmadi-Kalinina
- Mark Loguillo
- Mark Provo II
- Marti Checa Nualart
- Matthew B Stone
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Peter Wang
- Polad Shikhaliev
- Rob Root
- Sai Mani Prudhvi Valleti
- Sam Hollifield
- Shannon M Mahurin
- Stephen Jesse
- Sumner Harris
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Todd Thomas
- Tomonori Saito
- Utkarsh Pratiush
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vladislav N Sedov
- Xiuling Nie
- Yacouba Diawara
- Yun Liu

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

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).

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

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.