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Researcher
- Brian Post
- Peeyush Nandwana
- Sudarsanam Babu
- Yong Chae Lim
- Zhili Feng
- Blane Fillingim
- Jian Chen
- Lauren Heinrich
- Rangasayee Kannan
- Thomas Feldhausen
- Wei Zhang
- Yousub Lee
- Adam Stevens
- Bryan Lim
- Dali Wang
- Jiheon Jun
- Priyanshi Agrawal
- Ramanan Sankaran
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Tomas Grejtak
- Vimal Ramanuj
- Wenjun Ge
- 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.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

Ceramic matrix composites are used in several industries, such as aerospace, for lightweight, high quality and high strength materials. But producing them is time consuming and often low quality.

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.