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Researcher
- Yong Chae Lim
- Andrzej Nycz
- Kuntal De
- Rangasayee Kannan
- Udaya C Kalluri
- Zhili Feng
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- Alexandre Sorokine
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- Jiheon Jun
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- Philipe Ambrozio Dias
- Priyanshi Agrawal
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- Sudarsanam Babu
- Taylor Hauser
- Tomas Grejtak
- Vincent Paquit
- Viswadeep Lebakula
- Wei Zhang
- William Peter
- Xiaohan Yang
- Yiyu Wang
- Yukinori Yamamoto

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

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

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 present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

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.

Due to a genes unique nucleotide sequences acquired through horizontal gene transfer, the gene has a transcriptional repressor activity and innate enzymatic role.

The invention provides a gene and methods for maintaining meiotic chromosomal architecture