Informatics colourizes polymers
文献号
s41570-023-00484-z
DOI
10.1038/s41570-023-00484-z
在线发表
MAR 2023
已索引
2023-03-28
文献类型
Editorial Material; Early Access
摘要
Informatics approaches play an increasingly important role in accelerating the advances of modern materials science. A recent study reports the development of predictive machine learning models to guide the de novo design of through-space charge transfer polymers with full-colour-tunable emission.