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Jesús Sánchez Juárez, a PhD student in the lab of Jaime Cardenas, has made it easier to detect monolayers—two-dimensional materials less than 1/100,000 the width of a human hair—which are highly sought for use in electronics, photonics, and optoelectronic devices because of their unique properties. Sánchez Juárez combined an inexpensive microscope with a 5X objective lens and a low-cost camera, shown at far right, with an artificial intelligence neural network, to detect, and then process images of monolayers, as shown in green on his computer screen.
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Photo by J. Adam Fenster/University of Rochester
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