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Researcher
- Yong Chae Lim
- Rangasayee Kannan
- Zhili Feng
- Adam Stevens
- Brian Post
- Bruce Hannan
- Bryan Lim
- Femi Omitaomu
- Haowen Xu
- Jian Chen
- Jiheon Jun
- Loren L Funk
- Peeyush Nandwana
- Polad Shikhaliev
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Sudarsanam Babu
- Theodore Visscher
- Tomas Grejtak
- Vladislav N Sedov
- Wei Zhang
- William Peter
- Yacouba Diawara
- Yiyu Wang
- Yukinori Yamamoto

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

ORNL has developed a large area thermal neutron detector based on 6LiF/ZnS(Ag) scintillator coupled with wavelength shifting fibers. The detector uses resistive charge divider-based position encoding.

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.

We will develop an AI-powered autonomous software development pipeline to help urban scientists develop advanced research software (e.g., digital twins and cyberinfrastructure) to support smart city research and management without the need to write codes or know software engin

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.