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Researcher
- Chris Tyler
- Justin West
- Ritin Mathews
- Ying Yang
- Yong Chae Lim
- Zhili Feng
- Alice Perrin
- Brian Post
- David Olvera Trejo
- J.R. R Matheson
- Jaydeep Karandikar
- Jian Chen
- Rangasayee Kannan
- Ryan Dehoff
- Scott Smith
- Steven J Zinkle
- Wei Zhang
- Yanli Wang
- Yutai Kato
- Adam Stevens
- Akash Jag Prasad
- Alex Plotkowski
- Amit Shyam
- Brian Gibson
- Bruce A Pint
- Bryan Lim
- Calen Kimmell
- Christopher Ledford
- Costas Tsouris
- Dali Wang
- Emma Betters
- Gerry Knapp
- Greg Corson
- Gs Jung
- Gyoung Gug Jang
- James A Haynes
- Jesse Heineman
- Jiheon Jun
- John Potter
- Jong K Keum
- Josh B Harbin
- Michael Kirka
- Mina Yoon
- Nicholas Richter
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Priyanshi Agrawal
- Radu Custelcean
- Roger G Miller
- Sarah Graham
- Sudarsanam Babu
- Sumit Bahl
- Sunyong Kwon
- Tim Graening Seibert
- Tomas Grejtak
- Tony L Schmitz
- Vladimir Orlyanchik
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yan-Ru Lin
- Yiyu Wang
- Yukinori Yamamoto

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

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

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

Distortion generated during additive manufacturing of metallic components affect the build as well as the baseplate geometries. These distortions are significant enough to disqualify components for functional purposes.

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.

For additive manufacturing of large-scale parts, significant distortion can result from residual stresses during deposition and cooling. This can result in part scraps if the final part geometry is not contained in the additively manufactured preform.

In additive manufacturing large stresses are induced in the build plate and part interface. A result of these stresses are deformations in the build plate and final component.