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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Andrzej Nycz
- Kuntal De
- Sergei V Kalinin
- Udaya C Kalluri
- Yaosuo Xue
- Alex Walters
- Anton Ievlev
- Biruk A Feyissa
- Bogdan Dryzhakov
- Chris Masuo
- Clay Leach
- Debjani Pal
- Fei Wang
- Kevin M Roccapriore
- Liam Collins
- Marti Checa Nualart
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Phani Ratna Vanamali Marthi
- Rafal Wojda
- Sreenivasa Jaldanki
- Stephen Jesse
- Steven Randolph
- Suman Debnath
- Sunil Subedi
- Vincent Paquit
- Xiaohan Yang
- 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.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

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.

Due to a genes unique nucleotide sequences acquired through horizontal gene transfer, the gene has a transcriptional repressor activity and innate enzymatic role.

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.

The invention provides a gene and methods for maintaining meiotic chromosomal architecture