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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
- William Carter
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Roschli
- Alex Walters
- Anton Ievlev
- Arpan Biswas
- Bekki Mills
- Bruce Hannan
- Dave Willis
- Erin Webb
- Evin Carter
- Gerd Duscher
- Jeremy Malmstead
- John Wenzel
- Joshua Vaughan
- Keju An
- Kitty K Mccracken
- Liam Collins
- Loren L Funk
- Luke Chapman
- Mahshid Ahmadi-Kalinina
- Mark Loguillo
- Marti Checa Nualart
- Matthew B Stone
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Peter Wang
- Polad Shikhaliev
- Sai Mani Prudhvi Valleti
- Shannon M Mahurin
- Soydan Ozcan
- Stephen Jesse
- Sumner Harris
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tomonori Saito
- Tyler Smith
- Utkarsh Pratiush
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vladislav N Sedov
- Xianhui Zhao
- 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.

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.

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.

The scanning transmission electron microscope (STEM) provides unprecedented spatial resolution and is critical for many applications, primarily for imaging matter at the atomic and nanoscales and obtaining spectroscopic information at similar length scales.