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AI Learns How to Approximate Light Scattering to Speed Inverse Design

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A computational neural network (a form of artificial intelligence) was able to learn how a multilayered nanoparticle scatters light by learning the relationship between the nanoparticle’s structure and its behavior, based on thousands of training examples. After the relationship was learned, the program could essentially be run backward to design a particle with the desired set of light-scattering properties. This inverse design technique could lead to a way to custom-design nanoparticles for use in displays, cloaking systems, or biomedical devices. It could also provide a means...Read full article

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