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Researcher
- Yong Chae Lim
- Rangasayee Kannan
- Stephen M Killough
- Zhili Feng
- Adam Stevens
- Annetta Burger
- Brian Post
- Bryan Lim
- Bryan Maldonado Puente
- Carter Christopher
- Chance C Brown
- Corey Cooke
- Debraj De
- Diana E Hun
- Gautam Malviya Thakur
- James Gaboardi
- Jesse McGaha
- Jian Chen
- Jiheon Jun
- Kevin Sparks
- Liz McBride
- Nolan Hayes
- Peeyush Nandwana
- Peter Wang
- Philip Boudreaux
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Ryan Kerekes
- Sally Ghanem
- Sarah Graham
- Sudarsanam Babu
- Todd Thomas
- Tomas Grejtak
- Wei Zhang
- 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.

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 utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

The technologies provide a coating method to produce corrosion resistant and electrically conductive coating layer on metallic bipolar plates for hydrogen fuel cell and hydrogen electrolyzer applications.

Welding high temperature and/or high strength materials for aerospace or automobile manufacturing is challenging.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).