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Researcher
- Alex Plotkowski
- Amit Shyam
- Srikanth Yoginath
- Adam Willoughby
- Chad Steed
- James A Haynes
- James J Nutaro
- Junghoon Chae
- Peeyush Nandwana
- Pratishtha Shukla
- Rishi Pillai
- Sudip Seal
- Sumit Bahl
- Travis Humble
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Annetta Burger
- Brandon Johnston
- Bruce A Pint
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Charles Hawkins
- Debraj De
- Gautam Malviya Thakur
- Gerry Knapp
- Harper Jordan
- James Gaboardi
- Jesse McGaha
- Jiheon Jun
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Kevin Sparks
- Liz McBride
- Marie Romedenne
- Nance Ericson
- Nicholas Richter
- Pablo Moriano Salazar
- Priyanshi Agrawal
- Rangasayee Kannan
- Ryan Dehoff
- Samudra Dasgupta
- Sunyong Kwon
- Todd Thomas
- Tomas Grejtak
- Varisara Tansakul
- Xiuling Nie
- Ying Yang
- Yiyu Wang
- Yong Chae Lim
- Zhili Feng

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

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

A novel method that prevents detachment of an optical fiber from a metal/alloy tube and allows strain measurement up to higher temperatures, about 800 C has been developed. Standard commercial adhesives typically only survive up to about 400 C.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

Test facilities to evaluate materials compatibility in hydrogen are abundant for high pressure and low temperature (<100C).

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.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

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