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Researcher
- Chris Tyler
- Justin West
- Rama K Vasudevan
- Ritin Mathews
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- David Olvera Trejo
- J.R. R Matheson
- Jaydeep Karandikar
- Kashif Nawaz
- Scott Smith
- Stephen Jesse
- Viswadeep Lebakula
- Akash Jag Prasad
- Alexandre Sorokine
- An-Ping Li
- Andrew Lupini
- Annetta Burger
- Anton Ievlev
- Arpan Biswas
- Bogdan Dryzhakov
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- Brian Gibson
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- Carter Christopher
- Chance C Brown
- Christopher Rouleau
- Clinton Stipek
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- Daniel Adams
- Debangshu Mukherjee
- Debraj De
- Emma Betters
- Eve Tsybina
- Gautam Malviya Thakur
- Gerd Duscher
- Greg Corson
- Gs Jung
- Gyoung Gug Jang
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ivan Vlassiouk
- James Gaboardi
- Jamieson Brechtl
- Jesse Heineman
- Jesse McGaha
- Jessica Moehl
- Jewook Park
- John Potter
- Jong K Keum
- Josh B Harbin
- Kai Li
- Kevin Sparks
- Kyle Gluesenkamp
- Liam Collins
- Liz McBride
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Md Inzamam Ul Haque
- Mina Yoon
- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Philipe Ambrozio Dias
- Radu Custelcean
- Saban Hus
- Sai Mani Prudhvi Valleti
- Steven Randolph
- Sumner Harris
- Taylor Hauser
- Todd Thomas
- Tony L Schmitz
- Utkarsh Pratiush
- Vladimir Orlyanchik
- Xiuling Nie
- Zhiming Gao

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

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp

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.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

Distortion generated during additive manufacturing of metallic components affect the build as well as the baseplate geometries. These distortions are significant enough to disqualify components for functional purposes.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

For additive manufacturing of large-scale parts, significant distortion can result from residual stresses during deposition and cooling. This can result in part scraps if the final part geometry is not contained in the additively manufactured preform.

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.