Resources / Reviews / Al Sharah et al. (2024), ML in chemical engineering, outlook and perspectives
paper | added 2026-10-11 | review, machine-learning
[Open] https://doi.org/10.11591/ijai.v13.i1.pp619-630
Short narrative review; good drawbacks list, weak as a source of numbers. Open access, CC BY-SA.
Al Sharah, A., Abu Owida, H., Alnaimat, F., & Abuowaida, S. (2024). Application of machine learning in chemical engineering: Outlook and perspectives. IAES International Journal of Artificial Intelligence, 13(1), 619 to 630.
Reading note: Al Sharah et al. (2024). Use it for the drawbacks list and the “as simple as reasonably possible” principle, then read Dobbelaere et al. (2021), which it follows.