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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Benjamin Manard
- Isabelle Snyder
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Cyril Thompson
- Emilio Piesciorovsky
- Kyle Kelley
- Aaron Werth
- Aaron Wilson
- Adam Siekmann
- Alexander I Wiechert
- Ali Riza Ekti
- Anton Ievlev
- Arpan Biswas
- Charles F Weber
- Costas Tsouris
- Elizabeth Piersall
- Eve Tsybina
- Gary Hahn
- Gerd Duscher
- Joanna Mcfarlane
- Jonathan Willocks
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Matt Vick
- Neus Domingo Marimon
- Nils Stenvig
- Olga S Ovchinnikova
- Ozgur Alaca
- Raymond Borges Hink
- Sai Mani Prudhvi Valleti
- Stephen Jesse
- Subho Mukherjee
- Sumner Harris
- Utkarsh Pratiush
- Vandana Rallabandi
- Viswadeep Lebakula
- Vivek Sujan
- 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

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

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.

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.