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Researcher
- Amit Shyam
- Alex Plotkowski
- Anees Alnajjar
- James A Haynes
- Peeyush Nandwana
- Rangasayee Kannan
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- Sumit Bahl
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- Sudarsanam Babu
- Sunyong Kwon
- Tomas Grejtak
- William Peter
- Ying Yang
- Yiyu Wang
- Yukinori Yamamoto

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

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.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.

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