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Researcher
- Ryan Dehoff
- Maxim A Ziatdinov
- Sergei V Kalinin
- Yongtao Liu
- Adam Stevens
- Alex Plotkowski
- Amir K Ziabari
- Amit Shyam
- Andres Marquez Rossy
- Brian Post
- Christopher Rouleau
- Ivan Vlassiouk
- Kevin M Roccapriore
- Kyle Kelley
- Michael Kirka
- Olga S Ovchinnikova
- Peeyush Nandwana
- Philip Bingham
- Rama K Vasudevan
- Rangasayee Kannan
- Roger G Miller
- Sarah Graham
- Sudarsanam Babu
- Venkatakrishnan Singanallur Vaidyanathan
- Vincent Paquit
- William Peter
- Yukinori Yamamoto

Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.

This technology is a laser-based heating unit that offers rapid heating profiles on a research scale with minimal incidental heating of materials processing environments.

In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.

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.

This technology introduces an advanced machine learning approach for enhancing chemical imaging by correlating data from two mass spectrometry imaging (MSI) techniques.

A high-strength, heat-resistant Al-Ce-Ni alloy optimized for additive manufacturing in industrial applications.