Work

Machine learning predicts ecological risks of nanoparticles to soil microbial communities

Year: 2022

Type: article

Source: Environmental Pollution

DOI: 10.1016/j.envpol.2022.119528

Authors: Nuohan Xu, Jian Kang, Yangqing Ye, Qi Zhang, Mingjing Ke, Yufei Wang, Zhenyan Zhang, Tao Lu, W.J.G.M. Peijnenburg, Josep Penuelas, Guanjun Bao, Haifeng Qian

Institutions: Zhejiang University of Technology, Huazhong University of Science and Technology, Leiden University, National Institute for Public Health and the Environment, Universitat Autònoma de Barcelona, Consejo Superior de Investigaciones Científicas, Centre for Research on Ecology and Forestry Applications, Global Ecology Unit CREAF-CSIC-UAB

Language: English

Topic: Nanoparticles: synthesis and applications

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Life on land

Open Access status: green

Funder: National Natural Science Foundation of China

Awards: G5047190347, G5581476745, G7782122819

OpenAlex ID: W4281383946

FWCI: 1.676

Cites: 49

Cited by: 35

Related to: 10