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Researcher
- Srikanth Yoginath
- William Carter
- Alex Roschli
- Andrzej Nycz
- Brian Post
- Chris Masuo
- James J Nutaro
- Luke Meyer
- Pratishtha Shukla
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- Haowen Xu
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- Isha Bhandari
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- Oluwafemi Oyedeji
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- Peeyush Nandwana
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- Ryan Dehoff
- Sarah Graham
- Soydan Ozcan
- Sudarsanam Babu
- Tomas Grejtak
- Tyler Smith
- Varisara Tansakul
- William Peter
- Xianhui Zhao
- Yiyu Wang
- Yukinori Yamamoto

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.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

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.

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