Azizi, Z., Rezaeimanesh, M., Tohidian, T., & Rahimpour, M. R. (2014). Dimethyl ether: A review of technologies and production challenges. Chemical Engineering and Processing: Process Intensification, 82, 150-172.
Bakhtyari, A., & Rahimpour, M. R. (2018). Methanol to Dimethyl Ether, Methanol. Science and Engineering, 281-311.
Bateni, H., & Able, C. (2019). Development of Heterogeneous Catalysts for Dehydration of Methanol to Dimethyl Ether: A Review. Catalysis in industry, 11, 7-33.
Brovko, R. V., Sul’man, M. G., Lakina, M.V., & Doluda, V. Y. (2022). Conversion of Methanol to Olefins: State-of-the-Art and Prospects for Development. CATALYSIS IN CHEMICAL AND PETROCHEMICAL INDUSTRY, 14, 42-55.
Duan, M., Li, K., Li, K., & Tian, Q. (2021). A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction. ACM Trans. Intell. Syst. Technol., 12(3), 3-22.
Gogate, M. R. (2019). Methanol-to-olefins process technology: current status and future prospects. Petroleum Science and Technology, 37(5), 559-565.
Li, C., Hou, L., Sharma, B.Y., Li, H., Chen, C., Li, Y., Zhao, X., Huang, H.; CAI, Z., & Chen, H. (2018). Developing a new intelligent system for the diagnosis of tuberculous pleural effusion. Computer Methods Programs Biomed.
Mohammadi, R. (2022). The Role of South Pars Gas Field on Economic Growth of IRAN. International Journal of Business Management and Entrepreneurship, 1(3).
Park, S. Y., Shin, C. H., & Bae, J. W. (2016). Selective carboxylation of dimethyl ether to methyl acetate on Furrieries. Catalysis Communications, 75, 28-31.
Saluhdeen, N., Rasheed, A. A., Babalola, A., & Moses, A. U. (2022). Review on technologies for conversion of natural gas to methanol. Journal of Natural Gas Science and Engineering, 108.
Syah, R., Davarpanah, A., Elveny, M., Ghasemi, A., & Ramdan, D. (2021). The Economic Evaluation of Methanol and Propylene Production from Natural Gas at Petrochemical Industries in Iran. Sustainability, 13(17).
Wang, M., Chen, H., Yang, B., Zhao, X., Hu, L., Cai, Z., Huang, H., & Tong, C. (2017). Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses. Neuro-computing, 267, 69–84.
Weijermars, R. (2010). Value chain analysis of the natural gas industry: Lessons from the US regulatory success and opportunities for Europe. Journal of Natural Gas Science and Engineering, 2(2-3), 86-104.
Zhou, H., Zhu, W., Shi, L., Liu, H., Liu, Sh., Ni, Y., Liu, Y., He, Y., Xu, S., Li, L., & Liu, z. (2016). In situ DRIFT study of dimethyl ether carboxylation to methyl acetate on H-modernity. Journal of Molecular Catalysis A: Chemical, 417, 1-9.