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Author

Yadong Ge

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Aug 2026

Construction of chemical looping gasification model based on machine learning: focusing on performance prediction, feature importance and parameter optimization.

An integrated framework combining machine learning, Shapley Additive exPlanations (SHAP) interpretability analysis, and particle swarm optimization algorithm to address chemical looping gasification industrial application overcomes traditional experimental limitations.

Juan Zhao, Moon Yang, Yadong Ge et al. · 0 citations
Aug 2026

A machine learning-based dual system coupling model of catalytic-gasification: a calcium-based case study with mechanistic interpretability.

This framework provides a tool for catalyst screening and process parameter optimization in biomass clean energy conversion systems and confirms that the model predicts syngas composition with less than five percentage points of absolute deviation.

Yadong Ge, Hongru Li, Zaixin Li et al. · 0 citations

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