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Researcher
- Kyle Kelley
- Lawrence {Larry} M Anovitz
- Rama K Vasudevan
- Sergei V Kalinin
- Yaosuo Xue
- Andrew G Stack
- Anton Ievlev
- Bogdan Dryzhakov
- Fei Wang
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- Kevin M Roccapriore
- Liam Collins
- Marti Checa Nualart
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Peng Yang
- Phani Ratna Vanamali Marthi
- Rafal Wojda
- Sai Krishna Reddy Adapa
- Sreenivasa Jaldanki
- Stephen Jesse
- Steven Randolph
- Suman Debnath
- Sunil Subedi
- Yonghao Gui
- 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.

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

Measurements of grid voltage and current are essential for the optimal operation of the grid protection and control (P&C) systems.

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.

Multi-terminal DC (MTdc) systems based on high-voltage DC (HVDC) transmission technology is an upcoming concept. In such systems, either asymmetric monopole or bi-pole systems are generally employed. Such systems are not suitable for easy expansion.

Stability performance of interconnected power grids plays crucial roles on their secure operation to prevent cascading failure and blackout.

Technologies directed to a multi-port autonomous reconfigurable solar power plant are described.

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.