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Researcher
- Ying Yang
- Srikanth Yoginath
- Alice Perrin
- Chad Steed
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- Junghoon Chae
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- Pablo Moriano Salazar
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Radu Custelcean
- Rangasayee Kannan
- Ryan Dehoff
- Samudra Dasgupta
- Sumit Bahl
- Sunyong Kwon
- Tim Graening Seibert
- Tomas Grejtak
- Varisara Tansakul
- Viswadeep Lebakula
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yan-Ru Lin
- Yiyu Wang

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.

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

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.

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

High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.

The first wall and blanket of a fusion energy reactor must maintain structural integrity and performance over long operational periods under neutron irradiation and minimize long-lived radioactive waste.