Cite
A deep learning protocol for analyzing and predicting ionic conductivity of anion exchange membranes.
MLA
Zhai, Fu-Heng, et al. “A Deep Learning Protocol for Analyzing and Predicting Ionic Conductivity of Anion Exchange Membranes.” Journal of Membrane Science, vol. 642, Feb. 2022, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.memsci.2021.119983.
APA
Zhai, F.-H., Zhan, Q.-Q., Yang, Y.-F., Ye, N.-Y., Wan, R.-Y., Wang, J., Chen, S., & He, R.-H. (2022). A deep learning protocol for analyzing and predicting ionic conductivity of anion exchange membranes. Journal of Membrane Science, 642, N.PAG. https://doi.org/10.1016/j.memsci.2021.119983
Chicago
Zhai, Fu-Heng, Qing-Qing Zhan, Yun-Fei Yang, Ni-Ya Ye, Rui-Ying Wan, Jin Wang, Shuai Chen, and Rong-Huan He. 2022. “A Deep Learning Protocol for Analyzing and Predicting Ionic Conductivity of Anion Exchange Membranes.” Journal of Membrane Science 642 (February): N.PAG. doi:10.1016/j.memsci.2021.119983.