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Researcher
- Alex Plotkowski
- Amit Shyam
- Isabelle Snyder
- Srikanth Yoginath
- Chad Steed
- Emilio Piesciorovsky
- James A Haynes
- James J Nutaro
- Junghoon Chae
- Peeyush Nandwana
- Pratishtha Shukla
- Sudip Seal
- Sumit Bahl
- Travis Humble
- Aaron Werth
- Aaron Wilson
- Adam Siekmann
- Alice Perrin
- Ali Passian
- Ali Riza Ekti
- Andres Marquez Rossy
- Bryan Lim
- Elizabeth Piersall
- Eve Tsybina
- Gary Hahn
- Gerry Knapp
- Harper Jordan
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Nance Ericson
- Nicholas Richter
- Nils Stenvig
- Ozgur Alaca
- Pablo Moriano Salazar
- Rangasayee Kannan
- Raymond Borges Hink
- Ryan Dehoff
- Samudra Dasgupta
- Subho Mukherjee
- Sunyong Kwon
- Tomas Grejtak
- Varisara Tansakul
- Viswadeep Lebakula
- Vivek Sujan
- Yarom Polsky
- Ying Yang
- Yiyu Wang

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 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.

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

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.

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

This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.