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Researcher
- Srikanth Yoginath
- Yong Chae Lim
- Brian Post
- James J Nutaro
- Pratishtha Shukla
- Rangasayee Kannan
- Sudip Seal
- Zhili Feng
- Adam Stevens
- Alex Roschli
- Ali Passian
- Bryan Lim
- Cameron Adkins
- Diana E Hun
- Gina Accawi
- Gurneesh Jatana
- Harper Jordan
- Isha Bhandari
- Jian Chen
- Jiheon Jun
- Joel Asiamah
- Joel Dawson
- Liam White
- Mark M Root
- Michael Borish
- Nance Ericson
- Pablo Moriano Salazar
- Peeyush Nandwana
- Philip Boudreaux
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Sudarsanam Babu
- Tomas Grejtak
- Varisara Tansakul
- Venkatakrishnan Singanallur Vaidyanathan
- 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.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

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.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

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.