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Researcher
- Ryan Dehoff
- Vincent Paquit
- Michael Kirka
- Soydan Ozcan
- Xianhui Zhao
- Adam Stevens
- Ahmed Hassen
- Akash Jag Prasad
- Alex Plotkowski
- Alex Roschli
- Alice Perrin
- Amir K Ziabari
- Amit Shyam
- Andres Marquez Rossy
- Blane Fillingim
- Brian Post
- Calen Kimmell
- Canhai Lai
- Christopher Ledford
- Chris Tyler
- Clay Leach
- Costas Tsouris
- David Nuttall
- Erin Webb
- Evin Carter
- Halil Tekinalp
- James Haley
- James Parks II
- Jaydeep Karandikar
- Jeremy Malmstead
- Kitty K Mccracken
- Oluwafemi Oyedeji
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Philip Bingham
- Rangasayee Kannan
- Roger G Miller
- Sanjita Wasti
- Sarah Graham
- Sudarsanam Babu
- Tyler Smith
- Venkatakrishnan Singanallur Vaidyanathan
- Vipin Kumar
- Vladimir Orlyanchik
- Vlastimil Kunc
- William Peter
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto
- Zackary Snow

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.

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 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.

Sensing of additive manufacturing processes promises to facilitate detailed quality inspection at scales that have seldom been seen in traditional manufacturing processes.

High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.

In manufacturing parts for industry using traditional molds and dies, about 70 percent to 80 percent of the time it takes to create a part is a result of a relatively slow cooling process.

This technology combines 3D printing and compression molding to produce high-strength, low-porosity composite articles.

Simurgh revolutionizes industrial CT imaging with AI, enhancing speed and accuracy in nondestructive testing for complex parts, reducing costs.

An innovative low-cost system for in-situ monitoring of strain and temperature during directed energy deposition.