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Researcher
- Diana E Hun
- Rama K Vasudevan
- Ryan Dehoff
- Philip Boudreaux
- Sergei V Kalinin
- Som Shrestha
- Yongtao Liu
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Tomonori Saito
- Bryan Maldonado Puente
- Kashif Nawaz
- Mahabir Bhandari
- Michael Kirka
- Nolan Hayes
- Singanallur Venkatakrishnan
- Stephen Jesse
- Venugopal K Varma
- Vincent Paquit
- Zoriana Demchuk
- Achutha Tamraparni
- Adam Aaron
- Adam Stevens
- Ahmed Hassen
- Alex Plotkowski
- Alice Perrin
- 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
- Catalin Gainaru
- Charles D Ottinger
- Christopher Ledford
- Christopher Rouleau
- Clay Leach
- Costas Tsouris
- David Nuttall
- Debangshu Mukherjee
- Gerd Duscher
- Gina Accawi
- Gs Jung
- Gurneesh Jatana
- Gyoung Gug Jang
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ivan Vlassiouk
- James Haley
- Jamieson Brechtl
- Jewook Park
- Jong K Keum
- Kai Li
- Karen Cortes Guzman
- Kuma Sumathipala
- Kyle Gluesenkamp
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Mark M Root
- Marti Checa Nualart
- Md Inzamam Ul Haque
- Mengjia Tang
- Mina Yoon
- Natasha Ghezawi
- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Peter Wang
- Philip Bingham
- Radu Custelcean
- Rangasayee Kannan
- Roger G Miller
- Saban Hus
- Sai Mani Prudhvi Valleti
- Sarah Graham
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Stephen M Killough
- Steven Randolph
- Sudarsanam Babu
- Sumner Harris
- Utkarsh Pratiush
- Vipin Kumar
- Vlastimil Kunc
- William Peter
- Xiaobing Liu
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto
- Zhenglai Shen
- 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

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.

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.

The traditional window installation process involves many steps. These are becoming even more complex with newer construction requirements such as installation of windows over exterior continuous insulation walls.