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Researcher
- Beth L Armstrong
- Jun Qu
- Srikanth Yoginath
- Alex Plotkowski
- Amit Shyam
- Chad Steed
- Corson Cramer
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- Khryslyn G Araño
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- Marm Dixit
- Matthew S Chambers
- Mengjia Tang
- Michael Kirka
- Muneeshwaran Murugan
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Pablo Moriano Salazar
- Peeyush Nandwana
- Rangasayee Kannan
- Samudra Dasgupta
- Sergiy Kalnaus
- Shajjad Chowdhury
- Sunyong Kwon
- Tolga Aytug
- Tomonori Saito
- Trevor Aguirre
- Varisara Tansakul
- Ying Yang
- Yiyu Wang
- Zoriana Demchuk

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.

Estimates based on the U.S. Department of Energy (DOE) test procedure for water heaters indicate that the equivalent of 350 billion kWh worth of hot water is discarded annually through drains, and a large portion of this energy is, in fact, recoverable.

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.

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.

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.

Using all polymer formulations, the PIP densification is improved almost 70% over traditional preceramic polymers and PIP material leading to cost and times saving for densifying ceramic composites made from powder or fibers.