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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Sergei V Kalinin
- Yaosuo Xue
- Anton Ievlev
- Bogdan Dryzhakov
- Christopher Rouleau
- Costas Tsouris
- Fei Wang
- Gs Jung
- Gyoung Gug Jang
- Ilia N Ivanov
- Ivan Vlassiouk
- Jong K Keum
- Kevin M Roccapriore
- Liam Collins
- Marti Checa Nualart
- Maxim A Ziatdinov
- Mina Yoon
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Phani Ratna Vanamali Marthi
- Radu Custelcean
- Rafal Wojda
- Sreenivasa Jaldanki
- Stephen Jesse
- Steven Randolph
- Suman Debnath
- Sunil Subedi
- Yonghao Gui
- Yongtao Liu

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.

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.

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.

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.

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.