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2020 – today
- 2024
[i7]Hao Li, Da Long, Li Yuan, Yonghong Tian, Xinchang Wang, Fanyang Mo:
Deep peak property learning for efficient chiral molecules ECD spectra prediction. CoRR abs/2401.03403 (2024)- [i6]Siyu Lou, Chengchun Liu, Yuntian Chen, Fanyang Mo:
Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression. CoRR abs/2401.13904 (2024) - [i5]Chengchun Liu, Fanyang Mo:
Infrared Spectra Prediction for Diazo Groups Utilizing a Machine Learning Approach with Structural Attention Mechanism. CoRR abs/2402.03112 (2024) - [i4]Wenchao Wu, Hao Xu, Dongxiao Zhang, Fanyang Mo:
Intelligent Chemical Purification Technique Based on Machine Learning. CoRR abs/2404.09114 (2024) - 2023
- [i3]Chengchun Liu, Yuntian Chen, Fanyang Mo:
Transforming organic chemistry research paradigms: moving from manual efforts to the intersection of automation and artificial intelligence. CoRR abs/2312.00808 (2023) - 2022
- [i2]Hao Xu, Jinglong Lin, Qianyi Liu, Yuntian Chen, Jianning Zhang, Yang Yang, Michael C. Young, Yan Xu, Dongxiao Zhang, Fanyang Mo:
High-throughput discovery of chemical structure-polarity relationships combining automation and machine learning techniques. CoRR abs/2202.05962 (2022) - [i1]Hao Xu, Jinglong Lin, Dongxiao Zhang, Fanyang Mo:
Retention Time Prediction for Chromatographic Enantioseparation by Quantile Geometry-enhanced Graph Neural Network. CoRR abs/2211.03602 (2022)
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