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Researcher
- Brian Post
- Vivek Sujan
- Peter Wang
- Andrzej Nycz
- Adam Siekmann
- Blane Fillingim
- Chris Masuo
- Omer Onar
- Peeyush Nandwana
- Subho Mukherjee
- Sudarsanam Babu
- Thomas Feldhausen
- Yong Chae Lim
- Zhili Feng
- Ahmed Hassen
- Erdem Asa
- Isabelle Snyder
- J.R. R Matheson
- Jian Chen
- Joshua Vaughan
- Lauren Heinrich
- Rangasayee Kannan
- Wei Zhang
- Yousub Lee
- Adam Stevens
- Alex Roschli
- Amit Shyam
- Brian Gibson
- Bryan Lim
- Cameron Adkins
- Christopher Fancher
- Chris Tyler
- Craig Blue
- Dali Wang
- David Olvera Trejo
- Gordon Robertson
- Hyeonsup Lim
- Isha Bhandari
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Jiheon Jun
- John Lindahl
- John Potter
- Liam White
- Luke Meyer
- Michael Borish
- Priyanshi Agrawal
- Ritin Mathews
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Scott Smith
- Shajjad Chowdhury
- Steven Guzorek
- Tomas Grejtak
- Vlastimil Kunc
- William Carter
- William Peter
- Yiyu Wang
- Yukinori Yamamoto

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

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 manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.

A valve solution that prevents cross contamination while allowing for blocking multiple channels at once using only one actuator.

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.