AI-driven process engineering

Related research/projects

1. Model for optimizing fluidized bed reactor

2. Visualization analysis for catalytic performance & sensor for reactor

3. Waste plastic/biomass co-gasification optimization with DEBO algorithm 

4. Reasoning model with LLM

Representative published papers

"Predicting biomass composition and operating conditions in fluidized bed biomass gasifiers: An automated machine learning approach combined with cooperative game theory", Energy (Oct. 1, 2023) TOP 5%

"Predicting and optimizing syngas production from fluidized bed biomass gasifiers: A machine learning approach", Energy (Jan. 15, 2023) TOP 5%

"Data-Driven Catalyst–Process Optimization of the Water–Gas Shift Reaction Using an Interpretable TabPFN–Ensemble Framework", J. Ind. Eng. Chem., accepted.