Lv35
220 积分 2025-10-15 加入
Message passing neural network-based contribution analysis towards CO2 solubility prediction in ionic liquids
26分钟前
待确认
Machine Learning Descriptors for CO2 Capture Materials
37分钟前
已完结
Prediction of the solubility of fluorinated gases in ionic liquids by machine learning with COSMO-RS-based descriptors
1小时前
已完结
Comprehensive insights into molecular simulation-driven advances in functional materials for pollutant mitigation
1小时前
已完结
A Multi-Method Approach to Analyzing MOFs for Chemical Warfare Simulant Capture: Molecular Simulation, Machine Learning, and Molecular Fingerprints
20小时前
已完结
Efficient and explainable transformer-based language models for property prediction in metal-organic frameworks
10天前
已完结
Artificial Intelligence-Enhanced CO 2 Capture Capacity Predictions of Functional Ionic Liquids Based on Group Contribution Descriptors
15天前
已完结
An explainable ionic liquid property model by coupling ionic fragment contribution with graph neural network
23天前
已完结
Enhancing arsenate removal through interpretable machine learning guiding the modular design of metal–organic frameworks
27天前
已完结
High throughput computational screening and interpretable machine learning for iodine capture of metal-organic frameworks
1个月前
已完结
皖公网安备34019202002308
