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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Isabelle Snyder
- Kevin M Roccapriore
- Lawrence {Larry} M Anovitz
- Maxim A Ziatdinov
- Emilio Piesciorovsky
- Kyle Kelley
- Aaron Werth
- Aaron Wilson
- Adam Siekmann
- Ali Riza Ekti
- Andrew G Stack
- Anton Ievlev
- Arpan Biswas
- Elizabeth Piersall
- Eve Tsybina
- Gary Hahn
- Gerd Duscher
- Juliane Weber
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Neus Domingo Marimon
- Nils Stenvig
- Olga S Ovchinnikova
- Ozgur Alaca
- Peng Yang
- Raymond Borges Hink
- Sai Krishna Reddy Adapa
- Sai Mani Prudhvi Valleti
- Stephen Jesse
- Subho Mukherjee
- Sumner Harris
- Utkarsh Pratiush
- 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

CO2 capture by mineral looping, either using calcium or magnesium precursors requires that the materials be calcined after CO2 is captured from the atmosphere. This separates the CO2 for later sequestration and returned the starting material to its original state.

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.

Mineral looping is a promising method for direct air capture of CO2. However, reduction of sorbent reactivity after each loop is likely to be significant problems for mineral looping by MgO.

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.

This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.