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- Sheng Dai
- Beth L Armstrong
- Parans Paranthaman
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- Alex Plotkowski
- Amit Shyam
- Craig A Bridges
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- Corson Cramer
- Edgar Lara-Curzio
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- Harper Jordan
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- Jordan Wright
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- Khryslyn G Araño
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- Marm Dixit
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- Michael Kirka
- Nageswara Rao
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- Santa Jansone-Popova
- Shajjad Chowdhury
- Subhamay Pramanik
- Sunyong Kwon
- Tao Hong
- Tomonori Saito
- Trevor Aguirre
- Varisara Tansakul
- Vlastimil Kunc
- Ying Yang
- Yiyu Wang

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

A novel strategy was developed to solve the limitations of the current sorbent systems in CO2 chemisorption in terms of energy consumption in CO2 release and improved CO2 uptake capacity.

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.

This invention introduces a novel sintering approach to produce hard carbon with a finely tuned microstructure, derived from biomass and plastic waste.

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.

The increasing demand for high-purity lanthanides, essential for advanced technologies such as electronics, renewable energy, and medical applications, presents a significant challenge due to their similar chemical properties.

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.

With the ever-growing reliance on batteries, the need for the chemicals and materials to produce these batteries is also growing accordingly. One area of critical concern is the need for high quality graphite to ensure adequate energy storage capacity and battery stability.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.