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Researcher
- Ryan Dehoff
- Kyle Kelley
- Rama K Vasudevan
- Vincent Paquit
- Andrzej Nycz
- Clay Leach
- Kuntal De
- Michael Kirka
- Sergei V Kalinin
- Udaya C Kalluri
- Adam Stevens
- Ahmed Hassen
- Alex Plotkowski
- Alex Walters
- Alice Perrin
- Amir K Ziabari
- Amit Shyam
- Andres Marquez Rossy
- Anton Ievlev
- Biruk A Feyissa
- Blane Fillingim
- Bogdan Dryzhakov
- Brian Post
- Chris Masuo
- Christopher Ledford
- David Nuttall
- Debjani Pal
- James Haley
- Kevin M Roccapriore
- Liam Collins
- Marti Checa Nualart
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Philip Bingham
- Rangasayee Kannan
- Roger G Miller
- Sarah Graham
- Singanallur Venkatakrishnan
- Stephen Jesse
- Steven Randolph
- Sudarsanam Babu
- Vipin Kumar
- Vlastimil Kunc
- William Peter
- Xiaohan Yang
- Yan-Ru Lin
- Ying Yang
- Yongtao Liu
- Yukinori Yamamoto

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

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.

This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.

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