Integrated learning framework for enhanced specific surface area, pore size, and pore volume prediction of biochar.

• Tác giả: Chao Chen, Guanyi Chen, Zhanjun Cheng, Xiaoqiang Cui, Yadong Ge, Yongjie Hu, Xuebin Lv, Junyu Tao, Beibei Yan
• Ngôn ngữ: eng
• Ký hiệu phân loại: 616.9803 Other diseases
• Thông tin xuất bản: England : Bioresource technology , 2025
• Bộ sưu tập: NCBI
• ID: 643782

Tóm tắt

Specific surface area, pore size, and pore volume are essential biochar properties. Optimization typically reduces yield by focusing on per gram of biochar. This work introduces new indicators and an integrated model to balance quality and quantity, emphasizing overall adsorption potential per gram of raw biomass. The integrated model outperformed nine machine learning models with 91.93% accuracy, RMSE of 0.73, and R