Molecular simulation of kerogen-water interaction: Theoretical insights into maturity
Modeling the acentric factor of binary and ternary mixtures of ionic liquids using advanced intelligent systems
Carbon dioxide sequestration in underground formations: review of experimental, modeling, and field studies
A review of pressure transient analysis in reservoirs with natural fractures, vugs and/or caves
Application of Artificial Intelligence-based predictive methods in Ionic liquid studies: A review
A data-driven approach to predict compressional and shear wave velocities in reservoir rocks
Insights into the application of surfactants and nanomaterials as shale inhibitors for water-based drilling fluid: A review
Data-driven model for ternary-blend concrete compressive strength prediction using machine learning approach
A review on clay chemistry, characterization and shale inhibitors for water-based drilling fluids
Evolving strategies for shear wave velocity estimation: smart and ensemble modeling approach
Determining Ion Activity Coefficients in Ion-Exchange Membranes with Machine Learning and Molecular Dynamics Simulations
Combining Predictive Models and Reinforcement Learning for Tailored Molecule Generation
Surfactant-Specific AI-Driven Molecular Design: Integrating Generative Models, Predictive Modeling, and Reinforcement Learning for Tailored Surfactant Synthesis
Empowering Capacitive Devices: Harnessing Transfer Learning for Enhanced Data-Driven Optimization
Synergizing Data-Driven and Knowledge-Based Hybrid Models for Ionic Separations
Graph-Based Modeling and Molecular Dynamics for Ion Activity Coefficient Prediction in Polymeric Ion-Exchange Membranes
Toward harnessing AI for surfactant chemistry: Prediction of critical micelle concentration