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Researcher
- Ryan Dehoff
- Vincent Paquit
- Michael Kirka
- Adam Stevens
- Ahmed Hassen
- Akash Jag Prasad
- Alex Plotkowski
- 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
- Dave Willis
- David Nuttall
- James Haley
- James Parks II
- Jaydeep Karandikar
- Luke Chapman
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Philip Bingham
- Rangasayee Kannan
- Roger G Miller
- Sarah Graham
- Singanallur Venkatakrishnan
- Sudarsanam Babu
- Sydney Murray III
- Vasilis Tzoganis
- Vasiliy Morozov
- Vipin Kumar
- Vladimir Orlyanchik
- Vlastimil Kunc
- William Peter
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto
- Yun Liu
- Zackary Snow

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

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.

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.

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.

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.

The technology describes an electron beam in a storage ring as a quantum computer.

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.