Cite
Deep learning-driven analysis for cellular structure characteristics of spherical premixed hydrogen-air flames.
MLA
Zhang, Gengxin, et al. “Deep Learning-Driven Analysis for Cellular Structure Characteristics of Spherical Premixed Hydrogen-Air Flames.” International Journal of Hydrogen Energy, vol. 68, May 2024, pp. 63–73. EBSCOhost, https://doi.org/10.1016/j.ijhydene.2024.04.232.
APA
Zhang, G., Xu, H., Wu, D., Yang, J., Morsy, M. E., Jangi, M., Cracknell, R., & Kim, W. (2024). Deep learning-driven analysis for cellular structure characteristics of spherical premixed hydrogen-air flames. International Journal of Hydrogen Energy, 68, 63–73. https://doi.org/10.1016/j.ijhydene.2024.04.232
Chicago
Zhang, Gengxin, Hongming Xu, Dawei Wu, Junfeng Yang, Mohamed E. Morsy, Mehdi Jangi, Roger Cracknell, and Wookyung Kim. 2024. “Deep Learning-Driven Analysis for Cellular Structure Characteristics of Spherical Premixed Hydrogen-Air Flames.” International Journal of Hydrogen Energy 68 (May): 63–73. doi:10.1016/j.ijhydene.2024.04.232.