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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Srikanth Yoginath
- Chad Steed
- James J Nutaro
- Junghoon Chae
- Kashif Nawaz
- Pratishtha Shukla
- Stephen Jesse
- Sudip Seal
- Travis Humble
- Ali Passian
- An-Ping Li
- Andrew Lupini
- Annetta Burger
- Anton Ievlev
- Arpan Biswas
- Benjamin Lawrie
- Bogdan Dryzhakov
- Brian Fricke
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Chengyun Hua
- Christopher Rouleau
- Costas Tsouris
- Debangshu Mukherjee
- Debraj De
- Gabor Halasz
- Gautam Malviya Thakur
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Harper Jordan
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ivan Vlassiouk
- James Gaboardi
- Jamieson Brechtl
- Jesse McGaha
- Jewook Park
- Jiaqiang Yan
- Joel Asiamah
- Joel Dawson
- Jong K Keum
- Kai Li
- Kevin Sparks
- Kyle Gluesenkamp
- Liam Collins
- Liz McBride
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Md Inzamam Ul Haque
- Mina Yoon
- Nance Ericson
- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Pablo Moriano Salazar
- Peeyush Nandwana
- Petro Maksymovych
- Radu Custelcean
- Rangasayee Kannan
- Saban Hus
- Sai Mani Prudhvi Valleti
- Samudra Dasgupta
- Steven Randolph
- Sumner Harris
- Todd Thomas
- Tomas Grejtak
- Utkarsh Pratiush
- Varisara Tansakul
- Xiuling Nie
- Yiyu Wang
- Zhiming Gao

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.

This technology is a laser-based heating unit that offers rapid heating profiles on a research scale with minimal incidental heating of materials processing environments.

When a magnetic field is applied to a type-II superconductor, it penetrates the superconductor in a thin cylindrical line known as a vortex line. Traditional methods to manipulate these vortices are limited in precision and affect a broad area.

The scanning transmission electron microscope (STEM) provides unprecedented spatial resolution and is critical for many applications, primarily for imaging matter at the atomic and nanoscales and obtaining spectroscopic information at similar length scales.

Moisture management accounts for over 40% of the energy used by buildings. As such development of energy efficient and resilient dehumidification technologies are critical to decarbonize the building energy sector.

A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.

This technology provides a device, platform and method of fabrication of new atomically tailored materials. This “synthescope” is a scanning transmission electron microscope (STEM) transformed into an atomic-scale material manipulation platform.

In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.