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Researcher
- Vivek Sujan
- Beth L Armstrong
- Adam Siekmann
- Jun Qu
- Omer Onar
- Subho Mukherjee
- Alex Plotkowski
- Amit Shyam
- Corson Cramer
- Erdem Asa
- Isabelle Snyder
- James A Haynes
- Meghan Lamm
- Shajjad Chowdhury
- Soydan Ozcan
- Steve Bullock
- Sumit Bahl
- Tomas Grejtak
- Xianhui Zhao
- Alex Roschli
- Alice Perrin
- Ben Lamm
- Bryan Lim
- Christopher Ledford
- Dali Wang
- David J Mitchell
- Erin Webb
- Ethan Self
- Evin Carter
- Gabriel Veith
- Gerry Knapp
- Halil Tekinalp
- Hyeonsup Lim
- James Klett
- Jeremy Malmstead
- Jian Chen
- Jordan Wright
- Jovid Rakhmonov
- Khryslyn G Araño
- Kitty K Mccracken
- Marm Dixit
- Matthew S Chambers
- Mengdawn Cheng
- Michael Kirka
- Nancy Dudney
- Nicholas Richter
- Oluwafemi Oyedeji
- Paula Cable-Dunlap
- Peeyush Nandwana
- Rangasayee Kannan
- Sanjita Wasti
- Sergiy Kalnaus
- Sunyong Kwon
- Tolga Aytug
- Trevor Aguirre
- Tyler Smith
- Wei Zhang
- Ying Yang
- Yiyu Wang
- Zhili Feng

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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.

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

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.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

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.