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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Andrzej Nycz
- Chris Masuo
- Luke Meyer
- Sergei V Kalinin
- William Carter
- Alex Walters
- Anton Ievlev
- Bogdan Dryzhakov
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- Neus Domingo Marimon
- Olga S Ovchinnikova
- Peter Wang
- Polad Shikhaliev
- Stephen Jesse
- Steven Randolph
- Theodore Visscher
- Vladislav N Sedov
- Yacouba Diawara
- Yongtao Liu

ORNL has developed a large area thermal neutron detector based on 6LiF/ZnS(Ag) scintillator coupled with wavelength shifting fibers. The detector uses resistive charge divider-based position encoding.

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.

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

This technology is a strategy for decreasing electromagnetic interference and boosting signal fidelity for low signal-to-noise sensors transmitting over long distances in extreme environments, such as nuclear energy generation applications, particularly for particle detection.

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.