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Researcher
- Alex Plotkowski
- Rafal Wojda
- Amit Shyam
- Anees Alnajjar
- Prasad Kandula
- Srikanth Yoginath
- Yong Chae Lim
- Zhili Feng
- James A Haynes
- James J Nutaro
- Jian Chen
- Nageswara Rao
- Peeyush Nandwana
- Pratishtha Shukla
- Rangasayee Kannan
- Ryan Dehoff
- Sergiy Kalnaus
- Sudip Seal
- Sumit Bahl
- Vandana Rallabandi
- Wei Zhang
- Adam Stevens
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Beth L Armstrong
- Brian Post
- Bryan Lim
- Christopher Fancher
- Craig A Bridges
- Dali Wang
- Femi Omitaomu
- Georgios Polyzos
- Gerry Knapp
- Haowen Xu
- Harper Jordan
- Jaswinder Sharma
- Jiheon Jun
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Marcio Magri Kimpara
- Mariam Kiran
- Mostak Mohammad
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Omer Onar
- Praveen Kumar
- Priyanshi Agrawal
- Roger G Miller
- Sarah Graham
- Shajjad Chowdhury
- Sheng Dai
- Subho Mukherjee
- Sudarsanam Babu
- Suman Debnath
- 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.

Misalignment issues of the PWPT system have been addressed. The intercell power transformer has been introduced in order to improve load sharing of the system during a mismatch of the primary single-phase coil and the secondary multi-phase coils.

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 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.

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.