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Researcher
- Rama K Vasudevan
- Ryan Dehoff
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Andrzej Nycz
- Chris Masuo
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- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Peter Wang
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- Polad Shikhaliev
- Rangasayee Kannan
- Roger G Miller
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- Sarah Graham
- Singanallur Venkatakrishnan
- Stephen Jesse
- Sudarsanam Babu
- Sumner Harris
- Theodore Visscher
- Utkarsh Pratiush
- Vipin Kumar
- Vladislav N Sedov
- Vlastimil Kunc
- William Peter
- Yacouba Diawara
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto

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

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.

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.

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.

High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.