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Researcher
- Yong Chae Lim
- Rangasayee Kannan
- Stephen M Killough
- Zhili Feng
- Adam Stevens
- Brian Post
- Bryan Lim
- Bryan Maldonado Puente
- Corey Cooke
- Diana E Hun
- Gerald Tuskan
- Ilenne Del Valle Kessra
- Jian Chen
- Jiheon Jun
- Nolan Hayes
- Paul Abraham
- Peeyush Nandwana
- Peter Wang
- Philip Boudreaux
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Ryan Kerekes
- Sally Ghanem
- Sarah Graham
- Sudarsanam Babu
- Tomas Grejtak
- Wei Zhang
- William Peter
- Xiaohan Yang
- Yang Liu
- Yiyu Wang
- Yukinori Yamamoto

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.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

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).