3 citations · 5 across the 5 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.LG2024
Intelligent Chemical Purification Technique Based on Machine Learning
Wenchao Wu, Hao Xu, Dongxiao Zhang +1
We present an innovative of artificial intelligence with column chromatography, aiming to resolve inefficiencies and standardize data collection in chemical separation and purifica…
cs.LG2024
Infrared Spectra Prediction for Diazo Groups Utilizing a Machine Learning Approach with Structural Attention Mechanism
Chengchun Liu, Fanyang Mo
Infrared (IR) spectroscopy is a pivotal technique in chemical research for elucidating molecular structures and dynamics through vibrational and rotational transitions. However, th…
cs.LG2024★ 3 cited
Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression
Siyu Lou, Chengchun Liu, Yuntian Chen +1
Thin-layer chromatography (TLC) is a crucial technique in molecular polarity analysis. Despite its importance, the interpretability of predictive models for TLC, especially those d…