Issue 18, 2022

Intelligent control of nanoparticle synthesis through machine learning

Abstract

The synthesis of nanoparticles is affected by many reaction conditions, and their properties are usually determined by factors such as their size, shape and surface chemistry. In order for the synthesized nanoparticles to have functions suitable for different fields (for example, optics, electronics, sensor applications and so on), precise control of their properties is essential. However, with the current technology of preparing nanoparticles on a microreactor, it is time-consuming and laborious to achieve precise synthesis. In order to improve the efficiency of synthesizing nanoparticles with the expected functionality, the application of machine learning-assisted synthesis is an intelligent choice. In this article, we mainly introduce the typical methods of preparing nanoparticles on microreactors, and explain the principles and procedures of machine learning, as well as the main ways of obtaining data sets. We have studied three types of representative nanoparticle preparation methods assisted by machine learning. Finally, the current problems in machine learning-assisted nanoparticle synthesis and future development prospects are discussed.

Graphical abstract: Intelligent control of nanoparticle synthesis through machine learning

Article information

Article type
Review Article
Submitted
08 jan 2022
Accepted
04 abr 2022
First published
05 abr 2022

Nanoscale, 2022,14, 6688-6708

Intelligent control of nanoparticle synthesis through machine learning

H. Lv and X. Chen, Nanoscale, 2022, 14, 6688 DOI: 10.1039/D2NR00124A

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