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

Light-Triggered Phase Separation of Pickering Emulsions Co-Emulsified by Amino-Functionalized SiO₂ and Spiropyran-Based Ionic Liquid Surfactants

Data-Driven Condition-Aware Adaptive Model Predictive Control for Industrial Ethylene Cracking Furnaces

Combustion Characteristics of 660 MW Pulverized Coal Fired Boiler Co-Firing with Ammonia

Large Language Models for Automating Computational Fluid Dynamics (CFD): From Predictive Modeling and Optimization to Execution Scheduling

Domain-Specific Fine-tuning of Large Language Models and Intelligent Question-Answering System for Industrial Catalysis

Hybrid Fuels Enhance Sustainability and Economics of Cement Manufacturing

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

AI-Accelerated Catalyst Selection and Operating Conditions Optimization for Hydrocracking

Optimization of Kinetic Mechanism for Ethylene Combustion Based on Machine Learning

Three-Dimensional Reconstruction of Fluidized Beds from Limited Measurements via a Physics Guided cGAN

Smart Technologies: A Catalyst for Revolutionizing the Future of Chemical Engineering