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Researcher
- Andrzej Nycz
- Amit Shyam
- Chris Masuo
- Peter Wang
- Alex Plotkowski
- Alex Walters
- Brian Gibson
- Brian Post
- James A Haynes
- Joshua Vaughan
- Luke Meyer
- Ryan Dehoff
- Soydan Ozcan
- Sumit Bahl
- Udaya C Kalluri
- William Carter
- Xianhui Zhao
- Adam Stevens
- Akash Jag Prasad
- Alex Roschli
- Alice Perrin
- Andres Marquez Rossy
- Calen Kimmell
- Chelo Chavez
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Dali Wang
- Dean T Pierce
- Erin Webb
- Evin Carter
- Gerry Knapp
- Gordon Robertson
- Halil Tekinalp
- J.R. R Matheson
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jeremy Malmstead
- Jesse Heineman
- Jian Chen
- John Potter
- Jovid Rakhmonov
- Kitty K Mccracken
- Mengdawn Cheng
- Nicholas Richter
- Oluwafemi Oyedeji
- Paula Cable-Dunlap
- Peeyush Nandwana
- Rangasayee Kannan
- Riley Wallace
- Ritin Mathews
- Roger G Miller
- Sanjita Wasti
- Sarah Graham
- Sudarsanam Babu
- Sunyong Kwon
- Tyler Smith
- Vincent Paquit
- Vladimir Orlyanchik
- Wei Zhang
- William Peter
- Xiaohan Yang
- Ying Yang
- Yukinori Yamamoto
- 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.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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

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.

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

Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.