Two-step machine learning enables optimized nanoparticle synthesis

Volume: 7, Issue: 1
Published: Apr 20, 2021
Abstract
In materials science, the discovery of recipes that yield nanomaterials with defined optical properties is costly and time-consuming. In this study, we present a two-step framework for a machine learning-driven high-throughput microfluidic platform to rapidly produce silver nanoparticles with the desired absorbance spectrum. Combining a Gaussian process-based Bayesian optimization (BO) with a deep neural network (DNN), the algorithmic framework...
Paper Details
Title
Two-step machine learning enables optimized nanoparticle synthesis
Published Date
Apr 20, 2021
Volume
7
Issue
1
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