New machine-learning method could characterize graphene materials quickly and efficiently
Monash University scientists have created an innovative method to help industry identify high quality graphene cheaper, faster and more accurately than current methods. The researchers used the data set of an optical microscope to develop a machine-learning algorithm that can characterize graphene properties and quality, without bias, within 14 minutes.
Framework for quantitative analysis. Image from Advanced Science
This technology could be a game changer for hundreds of graphene or graphene oxide manufacturers globally. It will help them boost the quality and reliability of their graphene supply without need for time-consuming procedures.
Source: https://www.graphene-info.com/new-machine-learning-method-could-characterize-graphene-materials-quickly-and
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