APA (7th ed.) Citation

Yulia, F., Chairina, I., Zulys, A., & Nasruddin. (2021). Multi-objective genetic algorithm optimization with an artificial neural network for CO2/CH4 adsorption prediction in metal–organic framework. Thermal science and engineering progress, 25, 100967. https://doi.org/10.1016/j.tsep.2021.100967

Chicago Style (17th ed.) Citation

Yulia, Fayza, Intan Chairina, Agustino Zulys, and Nasruddin. "Multi-objective Genetic Algorithm Optimization with an Artificial Neural Network for CO2/CH4 Adsorption Prediction in Metal–organic Framework." Thermal Science and Engineering Progress 25 (2021): 100967. https://doi.org/10.1016/j.tsep.2021.100967.

MLA (9th ed.) Citation

Yulia, Fayza, et al. "Multi-objective Genetic Algorithm Optimization with an Artificial Neural Network for CO2/CH4 Adsorption Prediction in Metal–organic Framework." Thermal Science and Engineering Progress, vol. 25, 2021, p. 100967, https://doi.org/10.1016/j.tsep.2021.100967.