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Researcher
- Vivek Sujan
- Kyle Kelley
- Omer Onar
- Rama K Vasudevan
- Adam Siekmann
- Erdem Asa
- Sergei V Kalinin
- Stephen Jesse
- Subho Mukherjee
- An-Ping Li
- Andrew Lupini
- Anton Ievlev
- Bogdan Dryzhakov
- Bruce Moyer
- Debjani Pal
- Hoyeon Jeon
- Huixin (anna) Jiang
- Hyeonsup Lim
- Isabelle Snyder
- Jamieson Brechtl
- Jeffrey Einkauf
- Jennifer M Pyles
- Jewook Park
- Justin Griswold
- Kai Li
- Kashif Nawaz
- Kevin M Roccapriore
- Kuntal De
- Laetitia H Delmau
- Liam Collins
- Luke Sadergaski
- Marti Checa Nualart
- Maxim A Ziatdinov
- Mike Zach
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Ondrej Dyck
- Padhraic L Mulligan
- Saban Hus
- Sandra Davern
- Shajjad Chowdhury
- Steven Randolph
- Yongtao Liu

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

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.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

Distortion in scanning tunneling microscope (STM) images is an unavoidable problem. This technology is an algorithm to identify and correct distorted wavefronts in atomic resolution STM images.

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.

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.