Screening High-Efficiency Deep Eutectic Solvents for Oxidative-Extractive Desulfurization via a Machine Learning Framework to Analyze Intermolecular Interactions

Machine Learning-Assisted Performance Prediction and Design of MXene Materials

Machine Learning-Driven Prediction of Li⁺/Mg²⁺ Separation Performance in Crown Ether-Modified Graphene Oxide Membranes

Data-Driven Modeling and Bayesian Optimization for the Formaldehyde-Acetylene Reaction in a Slurry Bed Reactor

Physics-Informed Neural Network for Solving Forward and Inverse Problems of Granular Flow in the Homogeneous Cooling State

Prediction of Drug Solubility in Complex Micro-Environments: Machine Learning Study Based on Hansen Solubility Parameters

Optimization of Kinetic Mechanism for Ethylene Combustion Based on Machine Learning