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Researcher
- Yong Chae Lim
- Rangasayee Kannan
- Zhili Feng
- Adam Stevens
- Alexandre Sorokine
- An-Ping Li
- Brian Post
- Bryan Lim
- Clinton Stipek
- Daniel Adams
- Hoyeon Jeon
- Jessica Moehl
- Jewook Park
- Jian Chen
- Jiheon Jun
- Peeyush Nandwana
- Philipe Ambrozio Dias
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Saban Hus
- Sarah Graham
- Sudarsanam Babu
- Taylor Hauser
- Tomas Grejtak
- Viswadeep Lebakula
- 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.

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

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.

Distortion in scanning tunneling microscope (STM) images is an unavoidable problem. This technology is an algorithm to identify and correct distorted wavefronts in atomic resolution STM images.

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.