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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.
A diver-operated system brings safe and portable imaging to a new operating environment – underwater at depths up to 300 feet.
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.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.