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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Sergei V Kalinin
- Viswadeep Lebakula
- Alexandre Sorokine
- Annetta Burger
- Anton Ievlev
- Ben Lamm
- Beth L Armstrong
- Bogdan Dryzhakov
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- Carter Christopher
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- Clinton Stipek
- Daniel Adams
- Debraj De
- Eve Tsybina
- Gautam Malviya Thakur
- James Gaboardi
- Jesse McGaha
- Jessica Moehl
- Kevin M Roccapriore
- Kevin Sparks
- Liam Collins
- Liz McBride
- Marti Checa Nualart
- Maxim A Ziatdinov
- Meghan Lamm
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Philipe Ambrozio Dias
- Shajjad Chowdhury
- Stephen Jesse
- Steven J Zinkle
- Steven Randolph
- Taylor Hauser
- Tim Graening Seibert
- Todd Thomas
- Tolga Aytug
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Xiuling Nie
- Yanli Wang
- Ying Yang
- Yongtao Liu
- Yutai Kato

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

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.

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.

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.

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

This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.