Rheological behavior predictions of non-Newtonian nanofluids via correlations and artificial neural network for thermal applications
2024 · Digital Chemical Engineering · 11 citations
https://doi.org/10.1016/j.dche.2024.100170
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Suhaib Umer Ilyas
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Suhaib Umer Ilyas is an academic researcher from University of Jeddah. The author has contributed to research in topics: Nanofluid Flow and Heat Transfer & Hydraulic Fracturing and Reservoir Analysis & Drilling and Well Engineering. The author has an h-index of 24, co-authored 75 publications.
ORCID: 0000-0002-7690-0668Papers by this author
worksMolecular simulation and ANN modelling for Cadmium (Cd) and Lead (Pb) adsorption from water using zeolites
2025 · Results in Engineering · 10 citations
https://doi.org/10.1016/j.rineng.2025.104517
A critical review on advancements and challenges in CO2 gas separation via 6FDA-based membranes
2025 · Carbon Capture Science & Technology · 6 citations
https://doi.org/10.1016/j.ccst.2025.100423
Process system analysis on oil processing facility and economic viability from oil well-to-tank
2021 · SN Applied Sciences · 5 citations
https://doi.org/10.1007/s42452-021-04635-z
Predictive analytics of oil-based non-newtonian nanofluid’s viscosity with multi-layer perceptron neural networks
2024 · Physica Scripta · 3 citations
https://doi.org/10.1088/1402-4896/ad963e
Thermophysical Profile and Synergistic Effects of Graphene-Thermal Oil Nanofluids with Hybrid Additives of MWCNTs and CNFs
2025 · International Journal of Thermophysics · 3 citations
https://doi.org/10.1007/s10765-025-03620-7
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