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Machine Learning Analysis for Photo-Induced Phenomena of 1-Methyl-3-(N-(1,8- Naphthalimidyl)ethyl)imidazolium Salts

preprint
submitted on 19.11.2020, 14:39 and posted on 20.11.2020, 06:01 by Takehiro Fujita, Kei Terayama, Masato Sumita, Hironori Izawa, Koji Tsuda, Kenji Morihashi
1-Methyl-3-(N-(1,8-naphthalimidyl)ethyl)imidazolium (MNEI) salts show various photochemical phenomena depending on the guest anion. We used machine learning techniques to extract decisive factors that dominate the fate of MNEI salts after UV irradiation and prepared a decision tree diagram to deduce their photochemical phenomena before experiments.

History

Email Address of Submitting Author

terayama@yokohama-cu.ac.jp

Institution

Yokohama City University

Country

Japan

ORCID For Submitting Author

0000-0003-3914-248X

Declaration of Conflict of Interest

There are no conflicts of interest to declare.

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