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Researcher
- Vivek Sujan
- Adam Siekmann
- Alex Plotkowski
- Amit Shyam
- Anees Alnajjar
- Omer Onar
- Srikanth Yoginath
- Subho Mukherjee
- Yong Chae Lim
- Zhili Feng
- Erdem Asa
- Isabelle Snyder
- James A Haynes
- James J Nutaro
- Jian Chen
- Nageswara Rao
- Peeyush Nandwana
- Pratishtha Shukla
- Rangasayee Kannan
- Ryan Dehoff
- Sergiy Kalnaus
- Sudip Seal
- Sumit Bahl
- Wei Zhang
- Adam Stevens
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Beth L Armstrong
- Brian Post
- Bryan Lim
- Craig A Bridges
- Dali Wang
- Femi Omitaomu
- Georgios Polyzos
- Gerry Knapp
- Haowen Xu
- Harper Jordan
- Hyeonsup Lim
- Jaswinder Sharma
- Jiheon Jun
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Mariam Kiran
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Priyanshi Agrawal
- Roger G Miller
- Sarah Graham
- Shajjad Chowdhury
- Sheng Dai
- Sudarsanam Babu
- Sunyong Kwon
- Tomas Grejtak
- Varisara Tansakul
- William Peter
- Ying Yang
- Yiyu Wang
- Yukinori Yamamoto

The eDICEML digital twin is proposed which emulates networks and hosts of an instrument-computing ecosystem. It runs natively on an ecosystem’s host or as a portable virtual machine.

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

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

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 growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

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.