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"Optimizing Metal Ion Sensing Using ML" #sciencefather #machinelearning #researcher
This study introduces a machine learning (ML) framework for optimizing photodetector performance in metal ion sensing applications. The proposed system leverages a heterostructure of nitrogen-doped graphene quantum dots (N-GQDs) and gold nanoparticles (Au@N-GQDs). Over 20 supervised ML models were trained and evaluated to identify the most effective algorithm for detecting metal ions.
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