Scientists pit AI algorithms against each other to optimize graphene nanotube synthesis

An international research team led by Skoltech scientists has identified the best artificial intelligence algorithm for determining the synthesis conditions that favor the formation of carbon nanotubes with properties tailored to specific applications in drug delivery, environmental monitoring sensors, lasers, hydrogen power tech, and elsewhere. The study is published in Carbon.

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