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

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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
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  Data: Innovative model-optimized machine learning for high-accuracy predicting and exploring nitrogen transformation in biomass pyrolysis.
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  Data: <searchLink fieldCode="AU" term="%22Zhou+X%22">Zhou X</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Zha+Z%22">Zha Z</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Li+B%22">Li B</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Diao+R%22">Diao R</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Qi+F%22">Qi F</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Liu+X%22">Liu X</searchLink>; Institute of Thermo-Fluid Equipment and Energy Saving & Environmental Protection Engineering, Hefei University of Technology, Hefei, Anhui 230009, China.<br /><searchLink fieldCode="AU" term="%22Wang+C%22">Wang C</searchLink>; Anhui Conch Industry Technology Research Institute Co., Ltd, Wuhu, Anhui 241000, China.<br /><searchLink fieldCode="AU" term="%22Ma+P%22">Ma P</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%229889523%22">Bioresource technology</searchLink> [Bioresour Technol] 2026 Jun; Vol. 449, pp. 134335. <i>Date of Electronic Publication: </i>2026 Mar 05.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Applied+Science%22">Elsevier Applied Science </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9889523 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-2976 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209608524%22">09608524 </searchLink><i>NLM ISO Abbreviation: </i>Bioresour Technol <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.biortech.2026.134335
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              Text: 2026 Jun
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