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Researcher
- Vivek Sujan
- Adam Siekmann
- Omer Onar
- Subho Mukherjee
- Blane Fillingim
- Brian Post
- Erdem Asa
- Isabelle Snyder
- Lauren Heinrich
- Peeyush Nandwana
- Sudarsanam Babu
- Thomas Feldhausen
- Yaosuo Xue
- Yousub Lee
- Alexander I Wiechert
- Costas Tsouris
- Debangshu Mukherjee
- Fei Wang
- Gs Jung
- Gyoung Gug Jang
- Hyeonsup Lim
- Md Inzamam Ul Haque
- Olga S Ovchinnikova
- Phani Ratna Vanamali Marthi
- Radu Custelcean
- Rafal Wojda
- Ramanan Sankaran
- Shajjad Chowdhury
- Sreenivasa Jaldanki
- Suman Debnath
- Sunil Subedi
- Vimal Ramanuj
- Wenjun Ge
- Yonghao Gui

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.

Measurements of grid voltage and current are essential for the optimal operation of the grid protection and control (P&C) systems.

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.

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.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.