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Jinglong Lin

Peking University - School of Materials Science and Engineering

SCHOLARLY PAPERS

1

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28

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0

Scholarly Papers (1)

1.

High-Throughput Discovery of Chemical Structure-Polarity Relationships Combining Automation and Machine Learning Techniques

Number of pages: 47 Posted: 23 May 2022
Peking University - School of Materials Science and Engineering, Peking University - School of Materials Science and Engineering, Peking University - College of Chemistry and Molecular Engineering, Eastern Institute of Technology - Institute for Advanced Study (EIAS), Peking University - School of Materials Science and Engineering, University of California, Santa Barbara (UCSB) - Department of Chemistry and Biochemistry, University of Toledo - Department of Chemistry & Biochemistry, WuXi AppTec - Chemistry Service Unit, Southern University of Science and Technology - School of Environmental Science and Engineering and Peking University - School of Materials Science and Engineering
Downloads 28 (1,372,601)

Abstract:

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organic compound, thin layer chromatography, machine learning, compound polarity, Rf value