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Researcher
- Rama K Vasudevan
- Michael Kirka
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Rangasayee Kannan
- Ryan Dehoff
- Adam Stevens
- Brian Post
- Christopher Ledford
- Kyle Kelley
- Peeyush Nandwana
- Singanallur Venkatakrishnan
- Alex Roschli
- Alice Perrin
- Amir K Ziabari
- Anton Ievlev
- Arpan Biswas
- Beth L Armstrong
- Cameron Adkins
- Corson Cramer
- Diana E Hun
- Fred List III
- Gerd Duscher
- Gina Accawi
- Gurneesh Jatana
- Isha Bhandari
- James Klett
- Keith Carver
- Liam Collins
- Liam White
- Mahshid Ahmadi-Kalinina
- Mark M Root
- Marti Checa Nualart
- Michael Borish
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Patxi Fernandez-Zelaia
- Philip Bingham
- Philip Boudreaux
- Richard Howard
- Roger G Miller
- Sai Mani Prudhvi Valleti
- Sarah Graham
- Stephen Jesse
- Steve Bullock
- Sudarsanam Babu
- Sumner Harris
- Thomas Butcher
- Trevor Aguirre
- Utkarsh Pratiush
- 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

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).

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

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.
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.