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Researcher
- Peeyush Nandwana
- Amit Shyam
- Alex Plotkowski
- Lawrence {Larry} M Anovitz
- Srikanth Yoginath
- Anees Alnajjar
- Blane Fillingim
- Brian Post
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- Pratishtha Shukla
- Rangasayee Kannan
- Sergiy Kalnaus
- Sudarsanam Babu
- Sudip Seal
- Sumit Bahl
- Thomas Feldhausen
- Ying Yang
- Yousub Lee
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Andrew G Stack
- Beth L Armstrong
- Bruce A Pint
- Bryan Lim
- Christopher Fancher
- Craig A Bridges
- Georgios Polyzos
- Gerry Knapp
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- Harper Jordan
- Jaswinder Sharma
- Jay Reynolds
- Jeff Brookins
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Juliane Weber
- Mariam Kiran
- Nageswara Rao
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Peng Yang
- Peter Wang
- Ryan Dehoff
- Sai Krishna Reddy Adapa
- Sheng Dai
- Steven J Zinkle
- Sunyong Kwon
- Tim Graening Seibert
- Tomas Grejtak
- Varisara Tansakul
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yanli Wang
- Yiyu Wang
- Yutai Kato

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

CO2 capture by mineral looping, either using calcium or magnesium precursors requires that the materials be calcined after CO2 is captured from the atmosphere. This separates the CO2 for later sequestration and returned the starting material to its original state.

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.

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.

Mineral looping is a promising method for direct air capture of CO2. However, reduction of sorbent reactivity after each loop is likely to be significant problems for mineral looping by MgO.