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Researcher
- Yong Chae Lim
- Rangasayee Kannan
- Zhili Feng
- Adam Stevens
- Alexandre Sorokine
- Brian Post
- Bryan Lim
- Christopher Rouleau
- Clinton Stipek
- Costas Tsouris
- Daniel Adams
- Gs Jung
- Gyoung Gug Jang
- Ilia N Ivanov
- Ivan Vlassiouk
- Jessica Moehl
- Jian Chen
- Jiheon Jun
- Jong K Keum
- Mina Yoon
- Peeyush Nandwana
- Philipe Ambrozio Dias
- Priyanshi Agrawal
- Radu Custelcean
- Roger G Miller
- Ryan Dehoff
- 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.

This technology is a laser-based heating unit that offers rapid heating profiles on a research scale with minimal incidental heating of materials processing environments.

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.

A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.