Xinzi Wang

A sustainable large language model predict framework for anaerobic digestion: bridging laboratory knowledge and industrial scaling.

Traditional machine learning (ML) generalizes poorly in anaerobic digestion (AD) prediction, failing to interpret unstructured contextual data. To bridge theoretical mechanisms and industrial scaling, we propose a knowledge-driven, multimodal large language model (LLM) framework with a two-stage strategy: literature pr...