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Researcher
- Vivek Sujan
- Adam Siekmann
- Omer Onar
- Subho Mukherjee
- Yong Chae Lim
- Zhili Feng
- Erdem Asa
- Isabelle Snyder
- Jian Chen
- Mike Zach
- Rangasayee Kannan
- Wei Zhang
- Adam Stevens
- Andrew F May
- Annetta Burger
- Ben Garrison
- Brad Johnson
- Brian Post
- Bruce Moyer
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Charlie Cook
- Christopher Hershey
- Craig Blue
- Dali Wang
- Daniel Rasmussen
- Debjani Pal
- Debraj De
- Gautam Malviya Thakur
- Hsin Wang
- Hyeonsup Lim
- James Gaboardi
- James Klett
- Jeffrey Einkauf
- Jennifer M Pyles
- Jesse McGaha
- Jiheon Jun
- John Lindahl
- Justin Griswold
- Kevin Sparks
- Kuntal De
- Laetitia H Delmau
- Liz McBride
- Luke Sadergaski
- Nedim Cinbiz
- Padhraic L Mulligan
- Peeyush Nandwana
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Sandra Davern
- Sarah Graham
- Shajjad Chowdhury
- Sudarsanam Babu
- Todd Thomas
- Tomas Grejtak
- Tony Beard
- William Peter
- Xiuling Nie
- Yiyu Wang
- Yukinori Yamamoto

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

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

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.

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.

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.

The technologies provide a system and method of needling of veiled AS4 fabric tape.