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Researcher
- Chris Tyler
- Beth L Armstrong
- Justin West
- Ritin Mathews
- Jun Qu
- Alex Plotkowski
- Amit Shyam
- Corson Cramer
- David Olvera Trejo
- J.R. R Matheson
- James A Haynes
- Jaydeep Karandikar
- Meghan Lamm
- Scott Smith
- Soydan Ozcan
- Steve Bullock
- Sumit Bahl
- Tomas Grejtak
- Xianhui Zhao
- Akash Jag Prasad
- Alex Roschli
- Alice Perrin
- Ben Lamm
- Brian Gibson
- Brian Post
- Bryan Lim
- Calen Kimmell
- Christopher Ledford
- Dali Wang
- David J Mitchell
- Emma Betters
- Erin Webb
- Ethan Self
- Evin Carter
- Gabriel Veith
- Gerry Knapp
- Greg Corson
- Halil Tekinalp
- James Klett
- Jeremy Malmstead
- Jesse Heineman
- Jian Chen
- John Potter
- Jordan Wright
- Josh B Harbin
- Jovid Rakhmonov
- Khryslyn G Araño
- Kitty K Mccracken
- Marm Dixit
- Matthew S Chambers
- Mengdawn Cheng
- Michael Kirka
- Nancy Dudney
- Nicholas Richter
- Oluwafemi Oyedeji
- Paula Cable-Dunlap
- Peeyush Nandwana
- Rangasayee Kannan
- Sanjita Wasti
- Sergiy Kalnaus
- Shajjad Chowdhury
- Sunyong Kwon
- Tolga Aytug
- Tony L Schmitz
- Trevor Aguirre
- Tyler Smith
- Vladimir Orlyanchik
- Wei Zhang
- Ying Yang
- Yiyu Wang
- Zhili Feng

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

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.

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.

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.