Research graph
References from Prediction of the dynamic viscosity, electrical conductivity, thermal conductivity, and pH of Fe₃O₄/TiO₂ hybrid nanofluids using a proposed framework with a machine learning method. Local targets link to admitted publications; unresolved targets remain external evidence.
Nanofluids for advanced applications: a comprehensive review on preparation methods, properties, and environmental impact
10.1021/acsomega.4c10143 · 2025 · External reference
Hybrid nanofluids flow and heat transfer in cavities: a technological review
10.1093/ijlct/ctac093 · 2022 · External reference
A comprehensive review on thermal conductivity and viscosity of nanofluids and their application in heat exchangers
10.1016/j.molliq.2023.122213 · 2023 · External reference
Heat transfer characteristics in nanofluid—a review
10.1016/j.rser.2016.11.010 · 2017 · External reference
Synthesis, thermophysical behavior, and environmental implications of nanofluids: a comprehensive review
10.1016/j.rineng.2025.107763 · 2025 · External reference
Immense impact from small particles: review on stability and thermophysical properties of nanofluids
2021 · External reference
Review on nanofluids: preparation, properties, stability, and thermal performance augmentation in heat transfer applications
2024 · External reference
Review on mono and hybrid nanofluids: preparation, properties, investigation, and applications in IC engines and heat transfer
10.3390/en16073189 · 2023 · External reference
A review on hybrid nanofluids: recent research, development and applications
10.1016/j.rser.2014.11.023 · 2015 · External reference
Thermal conductivity of hybrid nanofluids and their application in heat transfer augmentation
10.1063/5.0192955 · 2024 · External reference
Preparation, characterization, stability, and thermal conductivity of rGO-Fe3O4-TiO2 hybrid nanofluid: an experimental study
10.1016/j.powtec.2020.06.012 · 2020 · External reference
An extensive review of preparation, stabilization, and application of single and hybrid nanofluids
10.1007/s10973-024-13449-1 · 2024 · External reference
Hybrid nanofluids preparation, thermo-physical properties, and applications: a review
10.1016/j.hybadv.2024.100192 · 2024 · External reference
Synthesis and characterization of hybrid nanofluids and their usage in different heat exchangers for an improved heat transfer rates: a critical review
2023 · External reference
Investigating the improvement of heat transfer and flow characteristics of hybrid nanofluids: a comprehensive review
10.1177/09544089251318785 · 2025 · External reference
A meticulous intelligent approach to predict thermal conductivity ratio of hybrid nanofluids for heat transfer applications
10.1007/s10973-020-10047-9 · 2021 · External reference
Evaluating the convective heat transfer of graphene oxide–gold hybrid nanofluid flow in CPU
10.1007/s10973-023-12064-w · 2023 · External reference
Decorated graphene oxide with gold nanoparticles as a sensitive modified carbon paste electrode for simultaneous determination of tyrosine and uric acid
10.1038/s41598-023-44540-6 · 2023 · External reference
Designed amine-graphene/silver nanohybrid for high-performance thermally conductive nanofluids
10.1140/epjp/s13360-026-07709-2 · 2026 · External reference
Experimental and numerical investigation of Ag/MCM-41 hybrid nanofluids for improved photovoltaic/thermal (PV/T) collector: a Box-Behnken design and TRNSYS approach
10.1140/epjp/s13360-026-07871-7 · 2026 · External reference
Designed amine-graphene/silver nanohybrid for high-performance thermally conductive nanofluids
10.1140/epjp/s13360-026-07709-2 · 2026 · External reference
Investigation of the optimum design of magnetic field arrangement to enhance heat transfer performance of Fe3O4-water magnetic nanofluid
10.1016/j.ijthermalsci.2022.108014 · 2023 · External reference
Predicting heat transfer performance of Fe 3 O 4-Cu/water hybrid nanofluid under constant magnetic field using ANN
2023 · External reference
Experimentally determining the thermophysical properties, heat transfer and friction factor Fe3O4-TiO2 magnetic hybrid nanofluids in a mini-heat sink under magnetic field: proposing new correlations
2024 · External reference
Experimental investigation and machine learning modeling of the effects of hybridization mixing ratio, nanoparticle type, and temperature on the thermophysical properties of Fe3O4/TiO2, Fe3O4/MgO, and Fe3O4/ZnO-DI water hybrid ferrofluids
2025 · External reference
Enhanced thermal conductivity of hybrid fe₃o₄-based ferrofluids: experimental analysis of nanoparticle synergy effects under magnetic field actuation
10.1016/j.jmmm.2025.173643 · 2025 · External reference
Thermodynamic analysis of nanofluid with aggregated and non-aggregated nanoparticles
10.1016/j.ijheatfluidflow.2025.110205 · 2026 · External reference
Intelligent modeling of thermal transport in peristaltic flow of nanofluid through porous media using response surface and neural networks
10.1016/j.icheatmasstransfer.2026.110901 · 2026 · External reference
Blood based nanofluid flow driven by metachronal beating of artificial cilia
10.1016/j.physd.2026.135270 · 2026 · External reference
Peristaltic transport of hybrid nanofluid under the effects of thermal radiation through asymmetric curved geometry: a numerical approach
2025 · External reference
Thermal enhancement and energy minimization with dihydrogen oxide-based nanofluids
10.1016/j.ijhydene.2025.02.454 · 2025 · External reference
Convective heat transfer analysis for magnetohydrodynamics Reiner–Philippoff nanofluid flow over a curved stretching surface: non-similar solution
10.1108/mmms-07-2024-0200 · 2025 · External reference
Experimental investigation of the effect of magnetic field placement on pressure drop, entropy generation, heat transfer, and thermal performance of Fe3O4/TiO2 magnetic nanofluids in turbulent flow
10.1016/j.powtec.2025.121504 · 2025 · External reference
Simulation neuronaler netze
1994 · External reference
Deep learning in neural networks: an overview
10.1016/j.neunet.2014.09.003 · 2015 · External reference
Unresolved reference
2004 · External reference
Analysis and optimization of a transcritical power cycle with regenerator using artificial neural networks and genetic algorithms
10.1177/0957650911407700 · 2011 · External reference
Current trends in feature extraction and classification methodologies of biomedical signals
2024 · External reference
Unresolved reference
1992 · External reference
An overview of adaptive linear minimum mean square error predictor performance
1986 · External reference
10.1214/009053604000000201
10.1214/009053604000000201 · External reference
The correlation coefficient: an overview
10.1080/10408340500526766 · 2006 · External reference
Root mean square error (RMSE) or mean absolute error (MAE): when to use them or not
2022 · External reference
