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Researcher
- Ali Passian
- Alex Plotkowski
- Amit Shyam
- Srikanth Yoginath
- Anees Alnajjar
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- Georgios Polyzos
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- Mariam Kiran
- Nageswara Rao
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- Rangasayee Kannan
- Ryan Dehoff
- Sheng Dai
- Sunyong Kwon
- Tomas Grejtak
- Varisara Tansakul
- Ying Yang
- Yiyu Wang

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.

We developed and incorporated two innovative mPET/Cu and mPET/Al foils as current collectors in LIBs to enhance cell energy density under XFC conditions.

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.