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Researcher
- Ali Passian
- Rama K Vasudevan
- Michael Kirka
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Rangasayee Kannan
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- Adam Stevens
- Christopher Ledford
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- An-Ping Li
- Andrew Lupini
- Anton Ievlev
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- Beth L Armstrong
- Bogdan Dryzhakov
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- Corson Cramer
- Costas Tsouris
- Debangshu Mukherjee
- Fred List III
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- Gs Jung
- Gyoung Gug Jang
- Harper Jordan
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ivan Vlassiouk
- James Klett
- Jamieson Brechtl
- Jewook Park
- Joel Asiamah
- Joel Dawson
- Jong K Keum
- Kai Li
- Keith Carver
- Kyle Gluesenkamp
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Md Inzamam Ul Haque
- Mina Yoon
- Nance Ericson
- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Patxi Fernandez-Zelaia
- Philip Bingham
- Radu Custelcean
- Richard Howard
- Roger G Miller
- Saban Hus
- Sai Mani Prudhvi Valleti
- Sarah Graham
- Singanallur Venkatakrishnan
- Srikanth Yoginath
- Steve Bullock
- Steven Randolph
- Sudarsanam Babu
- Sumner Harris
- Thomas Butcher
- Trevor Aguirre
- Utkarsh Pratiush
- Varisara Tansakul
- Vincent Paquit
- William Peter
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto
- Zhiming Gao

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).

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

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.

Distortion in scanning tunneling microscope (STM) images is an unavoidable problem. This technology is an algorithm to identify and correct distorted wavefronts in atomic resolution STM images.

A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.