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Researcher
- Vivek Sujan
- Omer Onar
- Adam Siekmann
- Andrzej Nycz
- Erdem Asa
- Kuntal De
- Subho Mukherjee
- Udaya C Kalluri
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- Biruk A Feyissa
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- Clay Leach
- Costas Tsouris
- Debjani Pal
- Gs Jung
- Gyoung Gug Jang
- Hyeonsup Lim
- Ilia N Ivanov
- Isabelle Snyder
- Ivan Vlassiouk
- Jong K Keum
- Mina Yoon
- Radu Custelcean
- Shajjad Chowdhury
- Vincent Paquit
- Xiaohan Yang

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.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

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 technology is a laser-based heating unit that offers rapid heating profiles on a research scale with minimal incidental heating of materials processing environments.

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.

This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.