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Researcher
- William Carter
- Yong Chae Lim
- Zhili Feng
- Alex Roschli
- Andrzej Nycz
- Brian Post
- Chris Masuo
- Jian Chen
- Luke Meyer
- Rangasayee Kannan
- Wei Zhang
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- Dali Wang
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- Erin Webb
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- Jiheon Jun
- Joshua Vaughan
- Kitty K Mccracken
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- Peeyush Nandwana
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- Priyanshi Agrawal
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- Soydan Ozcan
- Sudarsanam Babu
- Sydney Murray III
- Tomas Grejtak
- Tyler Smith
- Vasilis Tzoganis
- Vasiliy Morozov
- William Peter
- Xianhui Zhao
- Yiyu Wang
- Yukinori Yamamoto
- Yun Liu

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

We presented a novel apparatus and method for laser beam position detection and pointing stabilization using analog position-sensitive diodes (PSDs).

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.

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.

High and ultra-high vacuum applications require seals that do not allow leaks. O-rings can break down over time, due to aging and exposure to radiation. Metallic seals can damage sealing surfaces, making replacement of the original seal very difficult.