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Researcher
- Alex Plotkowski
- Amit Shyam
- Kyle Kelley
- Rama K Vasudevan
- James A Haynes
- Sergei V Kalinin
- Sumit Bahl
- Alex Roschli
- Alice Perrin
- Andres Marquez Rossy
- Anton Ievlev
- Bogdan Dryzhakov
- Erin Webb
- Evin Carter
- Gerry Knapp
- Jeremy Malmstead
- Jovid Rakhmonov
- Kevin M Roccapriore
- Kitty K Mccracken
- Liam Collins
- Marti Checa Nualart
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Nicholas Richter
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Peeyush Nandwana
- Ryan Dehoff
- Soydan Ozcan
- Stephen Jesse
- Steven Randolph
- Sunyong Kwon
- Tyler Smith
- Xianhui Zhao
- Ying Yang
- Yongtao Liu

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.

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

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.

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

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

This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.

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