Two-step machine learning enables optimized nanoparticle synthesis

Two-step machine learning enables optimized nanoparticle synthesis

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 wi...

Full description

Bibliographic Details
Main Authors: Flore Mekki-Berrada, Zekun Ren, Tan Huang, Wai Kuan Wong, Fang Zheng, Jiaxun Xie, Isaac Parker Siyu Tian, Senthilnath Jayavelu, Zackaria Mahfoud, Daniil Bash, Kedar Hippalgaonkar, Saif Khan, Tonio Buonassisi, Qianxiao Li, Xiaonan Wang
Format: Article
Language:English
Published: Nature Portfolio 2021-04-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-021-00520-w

Internet

https://doi.org/10.1038/s41524-021-00520-w

Similar Items