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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Sam Hollifield
- Chad Steed
- Hongbin Sun
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- Gerd Duscher
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- Ilias Belharouak
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- Lilian V Swann
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- Mahshid Ahmadi-Kalinina
- Mark Provo II
- Marti Checa Nualart
- Mary A Adkisson
- Nance Ericson
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Oscar Martinez
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Raymond Borges Hink
- Rob Root
- Ruhul Amin
- Sai Mani Prudhvi Valleti
- Samudra Dasgupta
- Srikanth Yoginath
- Stephen Jesse
- Sumner Harris
- T Oesch
- Utkarsh Pratiush
- Varisara Tansakul
- Vishaldeep Sharma
- Yarom Polsky

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

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

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.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

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

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.