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Researcher
- Isabelle Snyder
- Kyle Kelley
- Lawrence {Larry} M Anovitz
- Rama K Vasudevan
- Emilio Piesciorovsky
- Sergei V Kalinin
- Aaron Werth
- Aaron Wilson
- Adam Siekmann
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- Liam Collins
- Marti Checa Nualart
- Maxim A Ziatdinov
- Neus Domingo Marimon
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- Olga S Ovchinnikova
- Ozgur Alaca
- Peng Yang
- Raymond Borges Hink
- Sai Krishna Reddy Adapa
- Stephen Jesse
- Steven Randolph
- Subho Mukherjee
- Viswadeep Lebakula
- Vivek Sujan
- Yarom Polsky
- Yongtao Liu

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.

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

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.

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

Electrical utility substations are wired with intelligent electronic devices (IEDs), such as protective relays, power meters, and communication switches.

This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.

An efficient, eco-friendly metal extraction using ultrasonic leaching, ideal for lithium and magnesium recovery from minerals and waste.