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Researcher
- Yong Chae Lim
- Rangasayee Kannan
- Zhili Feng
- Adam Stevens
- Alexandre Sorokine
- Brian Post
- Bryan Lim
- Clinton Stipek
- Daniel Adams
- Hongbin Sun
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- Peeyush Nandwana
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- Prashant Jain
- Priyanshi Agrawal
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- Sudarsanam Babu
- Taylor Hauser
- Thien D. Nguyen
- Tomas Grejtak
- Viswadeep Lebakula
- Wei Zhang
- William Peter
- Yiyu Wang
- Yukinori Yamamoto

In nuclear and industrial facilities, fine particles, including radioactive residues—can accumulate on the interior surfaces of ventilation ducts and equipment, posing serious safety and operational risks.

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.

A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.

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.