A Practical Application of Machine Learning for the Development of Metallole-Based Fluorescent Materials

A Practical Application of Machine Learning for the Development of Metallole-Based Fluorescent Materials

We have built a prediction model of the fluorescence quantum yields of metalloles. Based on the suggestion by the prediction model, we synthesized 10 fluorescent molecules to confirm the prediction accuracy. By measuring the fluorescence quantum yields of the synthesized molecules, it was demonstrat...

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Bibliographic Details
Main Authors: Yusuke Kanematsu, Akiyoshi Ohta, Shunya Nagai, Yohei Adachi, Hiromasa Kaneko, Takayoshi Ishimoto, Takio Kurita, Joji Ohshita
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Molecules
Subjects:
fluorescent materials
machine learning
model-based research
Online Access:https://www.mdpi.com/1420-3049/30/8/1686
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