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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Sergei V Kalinin
- Viswadeep Lebakula
- Alexandre Sorokine
- Annetta Burger
- Anton Ievlev
- Bogdan Dryzhakov
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- Liam Collins
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- Marti Checa Nualart
- Maxim A Ziatdinov
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- Muneeshwaran Murugan
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Philipe Ambrozio Dias
- Stephen Jesse
- Steven Randolph
- Taylor Hauser
- Todd Thomas
- Tomonori Saito
- Xiuling Nie
- Yongtao Liu
- Zoriana Demchuk

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.

Estimates based on the U.S. Department of Energy (DOE) test procedure for water heaters indicate that the equivalent of 350 billion kWh worth of hot water is discarded annually through drains, and a large portion of this energy is, in fact, recoverable.

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.

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.

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.