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Chemistry-Informed Neural Networks modelling of lignocellulosic biomass pyrolysis.
Xing, Jiangkuan; Kurose, Ryoichi; Luo, Kun; Fan, Jianren.
Affiliation
  • Xing J; Department of Mechanical Engineering and Science, Kyoto University, Kyoto 615-8540, Japan; JSPS International Research Fellow, Kyoto University, Japan. Electronic address: xing.jiangkuan.64w@st.kyoto-u.ac.jp.
  • Kurose R; Department of Mechanical Engineering and Science, Kyoto University, Kyoto 615-8540, Japan.
  • Luo K; State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China; Shanghai Institute for Advanced Study of Zhejiang University, Shanghai 200120, China.
  • Fan J; State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, China; Shanghai Institute for Advanced Study of Zhejiang University, Shanghai 200120, China.
Bioresour Technol ; 355: 127275, 2022 Jul.
Article in En | MEDLINE | ID: mdl-35537646
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pyrolysis / Neural Networks, Computer Type of study: Prognostic_studies Language: En Journal: Bioresour Technol Journal subject: ENGENHARIA BIOMEDICA Year: 2022 Type: Article
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pyrolysis / Neural Networks, Computer Type of study: Prognostic_studies Language: En Journal: Bioresour Technol Journal subject: ENGENHARIA BIOMEDICA Year: 2022 Type: Article