Universal machine learning aided synthesis approach of two-dimensional perovskites in a typical laboratory
Abstract The past decade has witnessed the significant efforts in novel material discovery in the use of data-driven techniques, in particular, machine learning (ML). However, since it needs to consider the precursors, experimental conditions, and availability of reactants, material synthesis is gen...
Main Authors: | , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-01-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-023-44236-5 |