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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Aaron Myers
- Anton Ievlev
- Arpan Biswas
- Bogdan Dryzhakov
- Christopher Rouleau
- Costas Tsouris
- Eve Tsybina
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Ilia N Ivanov
- Ivan Vlassiouk
- Jong K Keum
- Justin Cazares
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Matt Larson
- Mina Yoon
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Radu Custelcean
- Sai Mani Prudhvi Valleti
- Stephen Jesse
- Steven Randolph
- Sumner Harris
- Utkarsh Pratiush
- Viswadeep Lebakula

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 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.

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.

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.

MAPSTER is a lightweight software package that automatically searches deployed laptops for geospatial data and complies metadata (GPS coordinates, file size, etc) at a central checkpoint.

A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.