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Researcher
- Ryan Dehoff
- Alex Plotkowski
- Amit Shyam
- Vincent Paquit
- Alice Perrin
- Andrzej Nycz
- Clay Leach
- James A Haynes
- Kuntal De
- Michael Kirka
- Sumit Bahl
- Udaya C Kalluri
- Ying Yang
- Adam Stevens
- Ahmed Hassen
- Alex Walters
- Amir K Ziabari
- Andres Marquez Rossy
- Biruk A Feyissa
- Blane Fillingim
- Brian Post
- Chris Masuo
- Christopher Ledford
- David Nuttall
- Debjani Pal
- Gerry Knapp
- James Haley
- Jovid Rakhmonov
- Nicholas Richter
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Philip Bingham
- Rangasayee Kannan
- Roger G Miller
- Sarah Graham
- Sudarsanam Babu
- Sunyong Kwon
- Venkatakrishnan Singanallur Vaidyanathan
- Vipin Kumar
- Vlastimil Kunc
- William Peter
- Xiaohan Yang
- Yan-Ru Lin
- Yukinori Yamamoto

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.

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

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.

Due to a genes unique nucleotide sequences acquired through horizontal gene transfer, the gene has a transcriptional repressor activity and innate enzymatic role.

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.

The invention provides a gene and methods for maintaining meiotic chromosomal architecture