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"Machine Learning Enables Highly Accurate Predictions of Photophysical ..."

Cheng-Wei Ju et al. (2021)

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DOI: 10.1021/ACS.JCIM.0C01203

access: closed

type: Journal Article

metadata version: 2022-10-02

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Cheng-Wei Ju, Hanzhi Bai, Bo Li, Rizhang Liu:
Machine Learning Enables Highly Accurate Predictions of Photophysical Properties of Organic Fluorescent Materials: Emission Wavelengths and Quantum Yields. J. Chem. Inf. Model. 61(3): 1053-1065 (2021)

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