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Machine learning predicts ecological risks of nanoparticles to soil microbial communities

Environmental Pollution, vol. 307, pp. 119528

Authors 12

  1. Zhejiang University of Technology

    Affiliation as printed

    College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang, 310032, PR China

  2. Zhejiang University of Technology

    Affiliation as printed

    College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang, 310032, PR China

  3. Zhejiang University of Technology

    Affiliation as printed

    College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, 310032, PR China

  4. Zhejiang University of Technology

    Affiliation as printed

    College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang, 310032, PR China

  5. Zhejiang University of Technology

    Affiliation as printed

    College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang, 310032, PR China

  6. Huazhong University of Science and Technology

    Affiliation as printed

    Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, PR China

  7. Zhejiang University of Technology

    Affiliation as printed

    College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang, 310032, PR China

  8. Zhejiang University of Technology

    Affiliation as printed

    College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang, 310032, PR China

  9. Leiden University · National Institute for Public Health and the Environment

    Affiliation as printed

    Institute of Environmental Sciences (CML), Leiden University, RA, Leiden, 2300, the Netherlands; National Institute of Public Health and the Environment (RIVM), Center for Safety of Substances and Products, P.O. Box 1, Bilthoven, the Netherlands

    Institute of Environmental Sciences (CML), Leiden University, RA, Leiden, 2300, the Netherlands

    National Institute of Public Health and the Environment (RIVM), Center for Safety of Substances and Products, P.O. Box 1, Bilthoven, the Netherlands

  10. Universitat Autònoma de Barcelona · Consejo Superior de Investigaciones Científicas · Centre for Research on Ecology and Forestry Applications · Global Ecology Unit CREAF-CSIC-UAB

    Affiliation as printed

    CSIC, Global Ecology Unit CREAF- CSIC-UAB, Bellaterra, Barcelona, 08193, Catalonia, Spain; CREAF, Campus Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Barcelona, 08193, Catalonia, Spain

    CREAF, Campus Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Barcelona, 08193, Catalonia, Spain

    CSIC, Global Ecology Unit CREAF- CSIC-UAB, Bellaterra, Barcelona, 08193, Catalonia, Spain

  11. Zhejiang University of Technology

    Affiliation as printed

    College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, 310032, PR China

  12. Haifeng Qian corresponding

    Zhejiang University of Technology

    Affiliation as printed

    College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang, 310032, PR China. Electronic address: hfqian@zjut.edu.cn

    College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang, 310032, PR China

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References 53