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Researcher
- Ali Passian
- Kyle Kelley
- Rama K Vasudevan
- Sergei V Kalinin
- Anton Ievlev
- Ben Lamm
- Beth L Armstrong
- Bogdan Dryzhakov
- Bruce A Pint
- Claire Marvinney
- Harper Jordan
- Joel Asiamah
- Joel Dawson
- Kevin M Roccapriore
- Liam Collins
- Marti Checa Nualart
- Maxim A Ziatdinov
- Meghan Lamm
- Nance Ericson
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Shajjad Chowdhury
- Srikanth Yoginath
- Stephen Jesse
- Steven J Zinkle
- Steven Randolph
- Tim Graening Seibert
- Tolga Aytug
- Varisara Tansakul
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yanli Wang
- Ying Yang
- Yongtao Liu
- Yutai Kato

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.

New demands in electric vehicles have resulted in design changes for the power electronic components such as the capacitor to incur lower volume, higher operating temperatures, and dielectric properties (high dielectric permittivity and high electrical breakdown strengths).

The first wall and blanket of a fusion energy reactor must maintain structural integrity and performance over long operational periods under neutron irradiation and minimize long-lived radioactive waste.

Technologies directed quantum spectroscopy and imaging with Raman and surface-enhanced Raman scattering are described.

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