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

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

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

AI-Accelerated Catalyst Selection and Operating Conditions Optimization for Hydrocracking

Optimization of Kinetic Mechanism for Ethylene Combustion Based on Machine Learning