Author:
Elmisaoui Safae,Elmisaoui Sanae,Khamar Lhachmi,Zerouaoui Hasnae
Publisher
Springer Nature Switzerland
Reference47 articles.
1. Dobbelaere, M.R., Plehiers, P.P., Van de Vijver, R., Stevens, C.V., Van Geem, K.M.: Machine learning in chemical engineering: strengths, weaknesses, opportunities, and threats. Engineering 7(9), 1201–1211 (2021)
2. Elmisaoui, S., Latifi, A., Khamar, L., Salouhi, M.: Shrinking core approach in the modelling and simulation of phosphate ore acidulation. Chem. Eng. Trans. 86, 871–876 (2021)
3. Venkatasubramanian, V.: The promise of artificial intelligence in chemical engineering: Is it here, finally? AIChE J. 65(2), 466–478 (2019)
4. Elmisaoui, S., Khamar, L., Benjelloun, S., Khamar, M., Ghidaglia, J.: Modeling and study of hydrodynamic flow within the preneutralizer reactor using CFD approach. Computer Aided Chem. Eng. 48, 103–108 (2020)
5. Arora, P., Hoadley, A., Mahajani, S., Ganesh, A.: Multi-level modelling of sustainable chemical production: from CFD to LCA. Computer Aided Chem. Eng. 38, 499–504 (2016)
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