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Researcher
- Rama K Vasudevan
- Ryan Dehoff
- Sergei V Kalinin
- Yongtao Liu
- Kashif Nawaz
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Jamieson Brechtl
- Michael Kirka
- Stephen Jesse
- Vincent Paquit
- Aaron Werth
- Adam Stevens
- Ahmed Hassen
- Alex Plotkowski
- Alice Perrin
- Ali Passian
- Amir K Ziabari
- Amit Shyam
- An-Ping Li
- Andres Marquez Rossy
- Andrew Lupini
- Anton Ievlev
- Arpan Biswas
- Blane Fillingim
- Bogdan Dryzhakov
- Brian Fricke
- Brian Post
- Christopher Ledford
- Christopher Rouleau
- Clay Leach
- Costas Tsouris
- David Nuttall
- Debangshu Mukherjee
- Diana E Hun
- Easwaran Krishnan
- Emilio Piesciorovsky
- Gary Hahn
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Harper Jordan
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ivan Vlassiouk
- James Haley
- James Manley
- Jewook Park
- Joel Asiamah
- Joel Dawson
- Joe Rendall
- Jong K Keum
- Kai Li
- Karen Cortes Guzman
- Kuma Sumathipala
- Kyle Gluesenkamp
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Md Inzamam Ul Haque
- Mengjia Tang
- Mina Yoon
- Muneeshwaran Murugan
- Nance Ericson
- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Philip Bingham
- Radu Custelcean
- Rangasayee Kannan
- Raymond Borges Hink
- Roger G Miller
- Saban Hus
- Sai Mani Prudhvi Valleti
- Sarah Graham
- Singanallur Venkatakrishnan
- Srikanth Yoginath
- Steven Randolph
- Sudarsanam Babu
- Sumner Harris
- Tomonori Saito
- Utkarsh Pratiush
- Varisara Tansakul
- Vipin Kumar
- Vlastimil Kunc
- William Peter
- Xiaobing Liu
- Yan-Ru Lin
- Yarom Polsky
- Ying Yang
- Yukinori Yamamoto
- Zhiming Gao
- Zoriana Demchuk

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

Estimates based on the U.S. Department of Energy (DOE) test procedure for water heaters indicate that the equivalent of 350 billion kWh worth of hot water is discarded annually through drains, and a large portion of this energy is, in fact, recoverable.

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.

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.

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

This technology is a laser-based heating unit that offers rapid heating profiles on a research scale with minimal incidental heating of materials processing environments.

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.