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Researcher
- Rama K Vasudevan
- Ryan Dehoff
- Sergei V Kalinin
- Yongtao Liu
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- Kyle Kelley
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- Debangshu Mukherjee
- Debjani Pal
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- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Hoyeon Jeon
- Hsin Wang
- Huixin (anna) Jiang
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- Kuntal De
- Kyle Gluesenkamp
- Laetitia H Delmau
- Liam Collins
- Luke Sadergaski
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Md Inzamam Ul Haque
- Mengjia Tang
- Mina Yoon
- Muneeshwaran Murugan
- Nedim Cinbiz
- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Padhraic L Mulligan
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Philip Bingham
- Radu Custelcean
- Rangasayee Kannan
- Roger G Miller
- Saban Hus
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- Sandra Davern
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- 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

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

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.

The technologies provide a system and method of needling of veiled AS4 fabric tape.

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