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Researcher
- Rama K Vasudevan
- Michael Kirka
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Lawrence {Larry} M Anovitz
- Maxim A Ziatdinov
- Rangasayee Kannan
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- Brian Post
- Corson Cramer
- Fred List III
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- Marti Checa Nualart
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- Olga S Ovchinnikova
- Patxi Fernandez-Zelaia
- Peng Yang
- Philip Bingham
- Richard Howard
- Roger G Miller
- Sai Krishna Reddy Adapa
- Sai Mani Prudhvi Valleti
- Sarah Graham
- Stephen Jesse
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- Sudarsanam Babu
- Sumner Harris
- Thomas Butcher
- Trevor Aguirre
- Utkarsh Pratiush
- Venkatakrishnan Singanallur Vaidyanathan
- Vincent Paquit
- William Peter
- 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

CO2 capture by mineral looping, either using calcium or magnesium precursors requires that the materials be calcined after CO2 is captured from the atmosphere. This separates the CO2 for later sequestration and returned the starting material to its original state.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

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.

Mineral looping is a promising method for direct air capture of CO2. However, reduction of sorbent reactivity after each loop is likely to be significant problems for mineral looping by MgO.

A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.
Red mud residue is an industrial waste product generated during the processing of bauxite ore to extract alumina for the steelmaking industry. Red mud is rich in minerals in bauxite like iron and aluminum oxide, but also heavy metals, including arsenic and mercury.

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.