Fanyang Mo

According to our database, Fanyang Mo authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Decoupled peak property learning for efficient and interpretable electronic circular dichroism spectrum prediction.

Hao Li, Da Long, Li Yuan, Yu Wang, Yonghong Tian, Xinchang Wang, Fanyang Mo

Nat. Comput. Sci., March, 2025

2024

Intelligent Chemical Purification Technique Based on Machine Learning.

Wenchao Wu, Hao Xu, Dongxiao Zhang, Fanyang Mo

CoRR, 2024

Infrared Spectra Prediction for Diazo Groups Utilizing a Machine Learning Approach with Structural Attention Mechanism.

Chengchun Liu, Fanyang Mo

CoRR, 2024

Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression.

Siyu Lou, Chengchun Liu, Yuntian Chen, Fanyang Mo

CoRR, 2024

Deep peak property learning for efficient chiral molecules ECD spectra prediction.

Hao Li, Da Long, Li Yuan, Yonghong Tian, Xinchang Wang, Fanyang Mo

CoRR, 2024

2023

Transforming organic chemistry research paradigms: moving from manual efforts to the intersection of automation and artificial intelligence.

Chengchun Liu, Yuntian Chen, Fanyang Mo

CoRR, 2023

2022

Retention Time Prediction for Chromatographic Enantioseparation by Quantile Geometry-enhanced Graph Neural Network.

Hao Xu, Jinglong Lin, Dongxiao Zhang, Fanyang Mo

CoRR, 2022

High-throughput discovery of chemical structure-polarity relationships combining automation and machine learning techniques.

Hao Xu, Jinglong Lin, Qianyi Liu, Yuntian Chen, Jianning Zhang, Yang Yang, Michael C. Young, Yan Xu, Dongxiao Zhang, Fanyang Mo

CoRR, 2022