Machine-learning-aided biochar production from aquatic biomass

被引:0
|
作者
Zhilong Yuan [1 ]
Ye Wang [1 ]
Lingfeng Zhu [1 ]
Congcong Zhang [1 ]
Yifei Sun [2 ]
机构
[1] Beihang University,School of Energy and Power Engineering
[2] Beihang University,Research Center for Advanced Energy and Carbon Neutrality
[3] Hainan University,College of Environment and Ecology
来源
Carbon Research | / 3卷 / 1期
关键词
Aquatic biomass; Hydrochar; Pyrochar; Machine learning;
D O I
10.1007/s44246-024-00169-2
中图分类号
学科分类号
摘要
• A machine-learning framework for producing biochar from aquatic biomass was developed.
引用
收藏
相关论文
共 50 条
  • [11] Efficient Machine-Learning-Aided Screening of Hydrogen Adsorption on Bimetallic Nanoclusters
    Jager, Marc O. J.
    Ranawat, Yashasvi S.
    Canova, Filippo Federici
    Morooka, Eiaki, V
    Foster, Adam S.
    ACS COMBINATORIAL SCIENCE, 2020, 22 (12) : 768 - 781
  • [12] Machine-Learning-Aided Mission-Critical Internet of Underwater Things
    Hou, Xiangwang
    Wang, Jingjing
    Fang, Zhengru
    Zhang, Xin
    Song, Shenghui
    Zhang, Xudong
    Ren, Yong
    IEEE NETWORK, 2021, 35 (04): : 160 - 166
  • [13] A Machine-Learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data
    Kuo, Yun-Hsin
    Fujiwara, Takanori
    Chou, Charles C-K
    Chen, Chun-houh
    Ma, Kwan-Liu
    2022 IEEE 15TH PACIFIC VISUALIZATION SYMPOSIUM (PACIFICVIS 2022), 2022, : 91 - 100
  • [14] Machine-learning-aided precise prediction of deletions with next-generation sequencing
    Guan Rui
    Gao Jing-yang
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2016, 23 (12) : 3239 - 3247
  • [15] Machine-Learning-Aided Self-Powered Assistive Physical Therapy Devices
    Xiao, Xiao
    Fang, Yunsheng
    Xiao, Xiao
    Xu, Jing
    Chen, Jun
    ACS NANO, 2021, 15 (12) : 18633 - 18646
  • [16] Machine-learning-aided precise prediction of deletions with next-generation sequencing
    管瑞
    髙敬阳
    Journal of Central South University, 2016, 23 (12) : 3239 - 3247
  • [17] Machine-Learning-Aided Bandwidth and Topology Reconfiguration for Optical Data Center Networks
    Proietti, Roberto
    Liu, Che-Yu
    Chen, Xiaoliang
    Ben Yoo, S. J.
    2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC), 2021,
  • [18] Machine-Learning-Aided Trajectory Prediction and Conflict Detection for Internet of Aerial Vehicles
    Cheng, Cheng
    Guo, Liang
    Wu, Tong
    Sun, Jinlong
    Gui, Guan
    Adebisi, Bamidele
    Gacanin, Haris
    Sari, Hikmet
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (08): : 5882 - 5894
  • [19] Using Machine-Learning-Aided Computational Fluid Dynamics to Facilitate Design of Experiments
    Zhao, Ziqing
    Baumann, Amanda
    Ryan, Emily M.
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2024, 63 (49) : 21444 - 21454
  • [20] Machine-learning-aided precise prediction of deletions with next-generation sequencing
    Rui Guan
    Jing-yang Gao
    Journal of Central South University, 2016, 23 : 3239 - 3247