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Researcher
- Alex Plotkowski
- Amit Shyam
- Yong Chae Lim
- James A Haynes
- Peeyush Nandwana
- Rangasayee Kannan
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- Sumit Bahl
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- Hong Wang
- Hyeonsup Lim
- Jiheon Jun
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- Priyanshi Agrawal
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- Sudarsanam Babu
- Sunyong Kwon
- Tomas Grejtak
- Vivek Sujan
- William Peter
- Ying Yang
- Yiyu Wang
- Yukinori Yamamoto
- Zhili Feng

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.

No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.

The technologies provide a coating method to produce corrosion resistant and electrically conductive coating layer on metallic bipolar plates for hydrogen fuel cell and hydrogen electrolyzer applications.

Welding high temperature and/or high strength materials for aerospace or automobile manufacturing is challenging.

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.

A high-strength, heat-resistant Al-Ce-Ni alloy optimized for additive manufacturing in industrial applications.