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Researcher
- Srikanth Yoginath
- Yong Chae Lim
- Zhili Feng
- James J Nutaro
- Jian Chen
- Pratishtha Shukla
- Rangasayee Kannan
- Sudip Seal
- Wei Zhang
- Adam Stevens
- Ali Passian
- Brian Post
- Bryan Lim
- Dali Wang
- Glenn R Romanoski
- Govindarajan Muralidharan
- Harper Jordan
- Jiheon Jun
- Joel Asiamah
- Joel Dawson
- Nance Ericson
- Pablo Moriano Salazar
- Peeyush Nandwana
- Priyanshi Agrawal
- Roger G Miller
- Rose Montgomery
- Ryan Dehoff
- Sarah Graham
- Sudarsanam Babu
- Thomas R Muth
- Tomas Grejtak
- Varisara Tansakul
- 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.

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.