Machine‐Learning‐Assisted Accurate Prediction of Molecular Optical Properties upon Aggregation

Machine‐Learning‐Assisted Accurate Prediction of Molecular Optical Properties upon Aggregation

Abstract For practical applications, molecules often exist in an aggregate state. Therefore, it is of great value if one can predict the performance of molecules when forming aggregates, for example, aggregation‐induced emission (AIE) or aggregation‐caused quenching (ACQ). Herein, a database contain...

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Bibliographic Details
Main Authors: Shidang Xu, Xiaoli Liu, Pengfei Cai, Jiali Li, Xiaonan Wang, Bin Liu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advanced Science
Subjects:
aggregation‐induced emission
machine learning
molecular design
optical properties
solid‐state materials
Online Access:https://doi.org/10.1002/advs.202101074

Internet

https://doi.org/10.1002/advs.202101074

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