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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Andrzej Nycz
- Blane Fillingim
- Brian Post
- Chris Masuo
- Kyle Kelley
- Lauren Heinrich
- Luke Meyer
- Olga S Ovchinnikova
- Peeyush Nandwana
- Sudarsanam Babu
- Thomas Feldhausen
- William Carter
- Yousub Lee
- Alexander I Kolesnikov
- Alexander I Wiechert
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- Alex Walters
- Anton Ievlev
- Arpan Biswas
- Bekki Mills
- Bruce Hannan
- Costas Tsouris
- Dave Willis
- Debangshu Mukherjee
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- John Wenzel
- Joshua Vaughan
- Keju An
- Liam Collins
- Loren L Funk
- Luke Chapman
- Mahshid Ahmadi-Kalinina
- Mark Loguillo
- Marti Checa Nualart
- Matthew B Stone
- Md Inzamam Ul Haque
- Neus Domingo Marimon
- Peter Wang
- Polad Shikhaliev
- Radu Custelcean
- Ramanan Sankaran
- Sai Mani Prudhvi Valleti
- Shannon M Mahurin
- Stephen Jesse
- Sumner Harris
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tomonori Saito
- Utkarsh Pratiush
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vimal Ramanuj
- Vladislav N Sedov
- Wenjun Ge
- 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).

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

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.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.