Scientists at Rice University are using machine-learning techniques to streamline the process of synthesizing graphene from waste through flash Joule, which consists of blasting a jolt of high energy through the source material to eliminate all but graphene. The researchers used these techniques to improve graphene crystallization from four starting materials – carbon black, plastic pyrolysis ash, pyrolyzed rubber tires and coke – over 173 trials, using Raman spectroscopy to characterize the starting materials and graphene products.
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