Cite
Multi-objective optimization of breakthrough times for hydrogen purification through layered bed pressure swing adsorption based on genetic algorithm and artificial neural network model.
MLA
Li, Chenglong, et al. “Multi-Objective Optimization of Breakthrough Times for Hydrogen Purification through Layered Bed Pressure Swing Adsorption Based on Genetic Algorithm and Artificial Neural Network Model.” International Journal of Hydrogen Energy, vol. 52, Jan. 2024, pp. 390–405. EBSCOhost, https://doi.org/10.1016/j.ijhydene.2023.08.357.
APA
Li, C., Yang, T., Luo, H., Tong, L., Bénard, P., Chahine, R., & Xiao, J. (2024). Multi-objective optimization of breakthrough times for hydrogen purification through layered bed pressure swing adsorption based on genetic algorithm and artificial neural network model. International Journal of Hydrogen Energy, 52, 390–405. https://doi.org/10.1016/j.ijhydene.2023.08.357
Chicago
Li, Chenglong, Tianqi Yang, Hao Luo, Liang Tong, Pierre Bénard, Richard Chahine, and Jinsheng Xiao. 2024. “Multi-Objective Optimization of Breakthrough Times for Hydrogen Purification through Layered Bed Pressure Swing Adsorption Based on Genetic Algorithm and Artificial Neural Network Model.” International Journal of Hydrogen Energy 52 (January): 390–405. doi:10.1016/j.ijhydene.2023.08.357.