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Researcher
- Vivek Sujan
- Adam Siekmann
- Omer Onar
- Srikanth Yoginath
- Subho Mukherjee
- Erdem Asa
- Isabelle Snyder
- James J Nutaro
- Pratishtha Shukla
- Rob Moore II
- Sudip Seal
- Ali Passian
- Benjamin Lawrie
- Bryan Lim
- Chengyun Hua
- Gabor Halasz
- Harper Jordan
- Hyeonsup Lim
- Jiaqiang Yan
- Joel Asiamah
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- Matthew Brahlek
- Nance Ericson
- Pablo Moriano Salazar
- Peeyush Nandwana
- Petro Maksymovych
- Rangasayee Kannan
- Shajjad Chowdhury
- Tomas Grejtak
- Varisara Tansakul
- Yiyu Wang

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.

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.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

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.

When a magnetic field is applied to a type-II superconductor, it penetrates the superconductor in a thin cylindrical line known as a vortex line. Traditional methods to manipulate these vortices are limited in precision and affect a broad area.

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.