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Researcher
- Yong Chae Lim
- Adam Willoughby
- Rangasayee Kannan
- Rishi Pillai
- Zhili Feng
- Adam Stevens
- Brandon Johnston
- Brian Post
- Bruce A Pint
- Bryan Lim
- Charles Hawkins
- Femi Omitaomu
- Haowen Xu
- Jian Chen
- Jiheon Jun
- Marie Romedenne
- Peeyush Nandwana
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Sudarsanam Babu
- Tomas Grejtak
- Wei Zhang
- 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.

A novel method that prevents detachment of an optical fiber from a metal/alloy tube and allows strain measurement up to higher temperatures, about 800 C has been developed. Standard commercial adhesives typically only survive up to about 400 C.

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.

Test facilities to evaluate materials compatibility in hydrogen are abundant for high pressure and low temperature (<100C).

We will develop an AI-powered autonomous software development pipeline to help urban scientists develop advanced research software (e.g., digital twins and cyberinfrastructure) to support smart city research and management without the need to write codes or know software engin

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.

The technology provides a transformational approach to digitally manufacture structural alloys with co- optimized strength and environmental resistance