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Researcher
- Yong Chae Lim
- Zhili Feng
- Andrzej Nycz
- Jian Chen
- Kuntal De
- Rangasayee Kannan
- Udaya C Kalluri
- Wei Zhang
- Adam Stevens
- Alex Walters
- Biruk A Feyissa
- Brian Post
- Bryan Lim
- Chris Masuo
- Clay Leach
- Dali Wang
- Debjani Pal
- Jiheon Jun
- Peeyush Nandwana
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Sudarsanam Babu
- Tomas Grejtak
- Ugur Mertyurek
- Vincent Paquit
- 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.

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.

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