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Researcher
- Vivek Sujan
- Adam Siekmann
- Anees Alnajjar
- Omer Onar
- Subho Mukherjee
- Blane Fillingim
- Brian Post
- Erdem Asa
- Isabelle Snyder
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- Nageswara Rao
- Peeyush Nandwana
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- Yousub Lee
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- Debangshu Mukherjee
- Gs Jung
- Gyoung Gug Jang
- Hyeonsup Lim
- Mariam Kiran
- Md Inzamam Ul Haque
- Olga S Ovchinnikova
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- Ramanan Sankaran
- Shajjad Chowdhury
- Sheng Dai
- Vimal Ramanuj
- Wenjun Ge

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.

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.

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

This invention presents a multiport converter (MPC) based power supply to charge the 12 V and 24 V auxiliary batteries in heavy duty (HD) fuel cell (FC) electric vehicle (EV) power train.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.

This invention presents an integrated strategy to reduce end-user electricity costs and grid carbon emissions by efficiently utilizing Distributed Energy Resources (DER) and grid-scale electrical energy storage systems, such as batteries.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.