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Researcher
- Ali Passian
- Kyle Kelley
- Rama K Vasudevan
- Sergei V Kalinin
- Alexander I Wiechert
- Anton Ievlev
- Benjamin Manard
- Bogdan Dryzhakov
- Charles F Weber
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- Govindarajan Muralidharan
- Harper Jordan
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- Kevin M Roccapriore
- Kunal Mondal
- Liam Collins
- Mahim Mathur
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- Matt Vick
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- Mingyan Li
- Nance Ericson
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Oscar Martinez
- Rose Montgomery
- Sam Hollifield
- Srikanth Yoginath
- Stephen Jesse
- Steven Randolph
- Thomas R Muth
- Vandana Rallabandi
- Varisara Tansakul
- Venugopal K Varma
- Yongtao Liu

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

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.

Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.

Technologies directed quantum spectroscopy and imaging with Raman and surface-enhanced Raman scattering are described.

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