APA (7th ed.) Citation

Li, R., Xiong, B., Zhang, S., Zhang, X., Li, Y., Iu, H., & Fernando, T. (2023). A novel U-Net based data-driven vanadium redox flow battery modelling approach. Electrochimica acta, 444, 141998. https://doi.org/10.1016/j.electacta.2023.141998

Chicago Style (17th ed.) Citation

Li, Ran, Binyu Xiong, Shaofeng Zhang, Xinan Zhang, Yifeng Li, Herbert Iu, and Tyrone Fernando. "A Novel U-Net Based Data-driven Vanadium Redox Flow Battery Modelling Approach." Electrochimica Acta 444 (2023): 141998. https://doi.org/10.1016/j.electacta.2023.141998.

MLA (9th ed.) Citation

Li, Ran, et al. "A Novel U-Net Based Data-driven Vanadium Redox Flow Battery Modelling Approach." Electrochimica Acta, vol. 444, 2023, p. 141998, https://doi.org/10.1016/j.electacta.2023.141998.