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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Srikanth Yoginath
- James J Nutaro
- Pratishtha Shukla
- Sergei V Kalinin
- Sudip Seal
- Viswadeep Lebakula
- Alexandre Sorokine
- Ali Passian
- Annetta Burger
- Anton Ievlev
- Bogdan Dryzhakov
- Carter Christopher
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- Clinton Stipek
- Daniel Adams
- Debraj De
- Eve Tsybina
- Gautam Malviya Thakur
- Harper Jordan
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- Jessica Moehl
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- Joel Dawson
- Kevin M Roccapriore
- Kevin Sparks
- Liam Collins
- Liz McBride
- Marti Checa Nualart
- Maxim A Ziatdinov
- Nance Ericson
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Philipe Ambrozio Dias
- Stephen Jesse
- Steven Randolph
- Taylor Hauser
- Todd Thomas
- Varisara Tansakul
- Xiuling Nie
- Yongtao Liu

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.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

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

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.