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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Kashif Nawaz
- Soydan Ozcan
- Stephen Jesse
- Viswadeep Lebakula
- Xianhui Zhao
- Alexandre Sorokine
- Alex Roschli
- An-Ping Li
- Andrew Lupini
- Annetta Burger
- Anton Ievlev
- Arpan Biswas
- Benjamin Lawrie
- Bogdan Dryzhakov
- Brian Fricke
- Carter Christopher
- Chance C Brown
- Chengyun Hua
- Christopher Rouleau
- Clinton Stipek
- Costas Tsouris
- Dali Wang
- Daniel Adams
- Debangshu Mukherjee
- Debraj De
- Erin Webb
- Eve Tsybina
- Evin Carter
- Gabor Halasz
- Gautam Malviya Thakur
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Halil Tekinalp
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ivan Vlassiouk
- James Gaboardi
- Jamieson Brechtl
- Jeremy Malmstead
- Jesse McGaha
- Jessica Moehl
- Jewook Park
- Jian Chen
- Jiaqiang Yan
- Jong K Keum
- Kai Li
- Kevin Sparks
- Kitty K Mccracken
- Kyle Gluesenkamp
- Liam Collins
- Liz McBride
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Md Inzamam Ul Haque
- Mengdawn Cheng
- Mina Yoon
- Neus Domingo Marimon
- Nickolay Lavrik
- Oluwafemi Oyedeji
- Ondrej Dyck
- Paula Cable-Dunlap
- Petro Maksymovych
- Philipe Ambrozio Dias
- Radu Custelcean
- Saban Hus
- Sai Mani Prudhvi Valleti
- Sanjita Wasti
- Steven Randolph
- Sumner Harris
- Taylor Hauser
- Todd Thomas
- Tyler Smith
- Utkarsh Pratiush
- Wei Zhang
- Xiuling Nie
- Zhili Feng
- Zhiming Gao

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

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.

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

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

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

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.

Distortion in scanning tunneling microscope (STM) images is an unavoidable problem. This technology is an algorithm to identify and correct distorted wavefronts in atomic resolution STM images.