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Researcher
- Rama K Vasudevan
- Michael Kirka
- Ryan Dehoff
- Sergei V Kalinin
- Yongtao Liu
- Alex Plotkowski
- Amit Shyam
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Peeyush Nandwana
- Rangasayee Kannan
- Adam Stevens
- Alice Perrin
- Christopher Ledford
- James A Haynes
- Kyle Kelley
- Sumit Bahl
- Ying Yang
- Amir K Ziabari
- Andres Marquez Rossy
- Anton Ievlev
- Arpan Biswas
- Beth L Armstrong
- Brian Post
- Corson Cramer
- Fred List III
- Gerd Duscher
- Gerry Knapp
- James Klett
- Jovid Rakhmonov
- Keith Carver
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Neus Domingo Marimon
- Nicholas Richter
- Olga S Ovchinnikova
- Patxi Fernandez-Zelaia
- Philip Bingham
- Richard Howard
- Roger G Miller
- Sai Mani Prudhvi Valleti
- Sarah Graham
- Singanallur Venkatakrishnan
- Stephen Jesse
- Steve Bullock
- Sudarsanam Babu
- Sumner Harris
- Sunyong Kwon
- Thomas Butcher
- Trevor Aguirre
- Utkarsh Pratiush
- Vincent Paquit
- William Peter
- Yan-Ru Lin
- 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

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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.

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.