Cite
Use of machine learning to identify key factors regulating volatilization of semi-volatile organic chemicals from soil to air.
MLA
Wang, Rong, et al. “Use of Machine Learning to Identify Key Factors Regulating Volatilization of Semi-Volatile Organic Chemicals from Soil to Air.” Science of the Total Environment, vol. 920, Apr. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.scitotenv.2024.170769.
APA
Wang, R., Zhang, K.-H., Wang, Y., Wu, C.-C., Bao, L.-J., & Zeng, E. Y. (2024). Use of machine learning to identify key factors regulating volatilization of semi-volatile organic chemicals from soil to air. Science of the Total Environment, 920, N.PAG. https://doi.org/10.1016/j.scitotenv.2024.170769
Chicago
Wang, Rong, Kai-Hui Zhang, Yu Wang, Chen-Chou Wu, Lian-Jun Bao, and Eddy Y. Zeng. 2024. “Use of Machine Learning to Identify Key Factors Regulating Volatilization of Semi-Volatile Organic Chemicals from Soil to Air.” Science of the Total Environment 920 (April): N.PAG. doi:10.1016/j.scitotenv.2024.170769.