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Researcher
- Yong Chae Lim
- Zhili Feng
- Jian Chen
- Rangasayee Kannan
- Wei Zhang
- Adam Stevens
- Benjamin Lawrie
- Brian Post
- Bryan Lim
- Chengyun Hua
- Dali Wang
- David S Parker
- Gabor Halasz
- Glenn R Romanoski
- Govindarajan Muralidharan
- Jiaqiang Yan
- Jiheon Jun
- Peeyush Nandwana
- Petro Maksymovych
- Priyanshi Agrawal
- Roger G Miller
- Rose Montgomery
- Ryan Dehoff
- Sarah Graham
- Sudarsanam Babu
- Thomas R Muth
- Tomas Grejtak
- Venugopal K Varma
- 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.

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

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.

When a magnetic field is applied to a type-II superconductor, it penetrates the superconductor in a thin cylindrical line known as a vortex line. Traditional methods to manipulate these vortices are limited in precision and affect a broad area.

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 need for accurate temperature measurement in critical environments such as nuclear reactors is paramount for safety and efficiency.