Innovative model-optimized machine learning for high-accuracy predicting and exploring nitrogen transformation in biomass pyrolysis.

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Bibliographic Details
Title: Innovative model-optimized machine learning for high-accuracy predicting and exploring nitrogen transformation in biomass pyrolysis.
Authors: Zhou X; School of Mechanical Engineering, Hefei University of Technology, Hefei, Anhui 230009, China; Institute of Thermo-Fluid Equipment and Energy Saving & Environmental Protection Engineering, Hefei University of Technology, Hefei, Anhui 230009, China., Zha Z; School of Mechanical Engineering, Hefei University of Technology, Hefei, Anhui 230009, China; Institute of Thermo-Fluid Equipment and Energy Saving & Environmental Protection Engineering, Hefei University of Technology, Hefei, Anhui 230009, China. Electronic address: zhazhenting@hfut.edu.cn., Li B; School of Mechanical Engineering, Hefei University of Technology, Hefei, Anhui 230009, China; Institute of Thermo-Fluid Equipment and Energy Saving & Environmental Protection Engineering, Hefei University of Technology, Hefei, Anhui 230009, China., Diao R; School of Mechanical Engineering, Hefei University of Technology, Hefei, Anhui 230009, China; Institute of Thermo-Fluid Equipment and Energy Saving & Environmental Protection Engineering, Hefei University of Technology, Hefei, Anhui 230009, China; Engineering Research Center of the Ministry of Education for Low-Carbon Technology and Equipment of Cement-Based Materials, Hefei University of Technology, Hefei, Anhui 230009, China., Qi F; School of Mechanical Engineering, Hefei University of Technology, Hefei, Anhui 230009, China; Institute of Thermo-Fluid Equipment and Energy Saving & Environmental Protection Engineering, Hefei University of Technology, Hefei, Anhui 230009, China., Liu X; Institute of Thermo-Fluid Equipment and Energy Saving & Environmental Protection Engineering, Hefei University of Technology, Hefei, Anhui 230009, China., Wang C; Anhui Conch Industry Technology Research Institute Co., Ltd, Wuhu, Anhui 241000, China., Ma P; School of Mechanical Engineering, Hefei University of Technology, Hefei, Anhui 230009, China; Institute of Thermo-Fluid Equipment and Energy Saving & Environmental Protection Engineering, Hefei University of Technology, Hefei, Anhui 230009, China; Anhui Provincial Key Laboratory of Low Carbon Recycling Technology and Equipment for Mechanical and Electrical Products, Hefei University of Technology, Hefei Anhui 230009, China; Engineering Research Center of the Ministry of Education for Low-Carbon Technology and Equipment of Cement-Based Materials, Hefei University of Technology, Hefei, Anhui 230009, China.
Source: Bioresource technology [Bioresour Technol] 2026 Jun; Vol. 449, pp. 134335. Date of Electronic Publication: 2026 Mar 05.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Applied Science Country of Publication: England NLM ID: 9889523 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2976 (Electronic) Linking ISSN: 09608524 NLM ISO Abbreviation: Bioresour Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-2976
DOI:10.1016/j.biortech.2026.134335