Significance of EMHD graphene oxide (GO) water ethylene glycol nanofluid flow in a Darcy–Forchheimer medium by machine learning algorithm
The low heat efficiency of base fluids is a key problem among investigators. To address this
issue, investigators utilize tiny-sized (1–100 nm) metal solid material inside the base fluids to …
issue, investigators utilize tiny-sized (1–100 nm) metal solid material inside the base fluids to …
A decreasing failure rate model with a novel approach to enhance the artificial neural network's structure for engineering and disease data analysis
The study focuses on key metrics used to examine the characteristics of a lifetime random
variable distribution in reliability and survival theory research. In this analysis, metrics …
variable distribution in reliability and survival theory research. In this analysis, metrics …
Reliability study of generalized Rayleigh distribution based on inverse power law using artificial neural network with Bayesian regularization
Using the generalized Rayleigh distribution and the inverse power law, this paper proposes
a new reliability model and investigates the effect of the key parameters on reliability …
a new reliability model and investigates the effect of the key parameters on reliability …
Significance of bioconvective flow of MHD thixotropic nanofluid passing through a vertical surface by machine learning algorithm
Scientists have made significant contributions in the current decade due to the importance of
bioconvection in biotechnology and a variety of biological systems. In this study, a …
bioconvection in biotechnology and a variety of biological systems. In this study, a …
Machine learning approach to predict the heat transfer coefficients pertaining to a radiant cooling system coupled with mixed and forced convection
Mixed convection phenomenon over radiant cooled surfaces with displacement ventilation
in living environments is becoming a popular issue due to the airborne viruses and energy …
in living environments is becoming a popular issue due to the airborne viruses and energy …
Thermal energy, process, and transport intensification-a brief review of literature in 2021 and prospects
This review provides a brief literature survey recorded by the Web of Science (WoS) in 2021
on the studies of heat transfer enhancement (HTE), thermal energy, process, and transport …
on the studies of heat transfer enhancement (HTE), thermal energy, process, and transport …
Modeling and simulation of Maxwell nanofluid flows in the presence of Lorentz and Darcy–Forchheimer forces: toward a new approach on Buongiorno's model using …
The current work explores the intelligent computational strength of neural networks based
on the Levenberg–Marquardt backpropagation (LMBP-NNs) neural networks technique for …
on the Levenberg–Marquardt backpropagation (LMBP-NNs) neural networks technique for …
Artificial neural network approach for investigating the impact of convector design parameters on the heat transfer and total weight of panel radiators
The difficulty of the production stages of panel radiators used for heating purposes reveals
the importance of determining the heat transfer performance and panel radiator weight …
the importance of determining the heat transfer performance and panel radiator weight …
Machine learning approach for predicting electrical features of Schottky structures with graphene and ZnTiO3 nanostructures doped in PVP interfacial layer
In this research, for some different Schottky type structures with and without a
nanocomposite interfacial layer, the current–voltage (I–V) characteristics have been …
nanocomposite interfacial layer, the current–voltage (I–V) characteristics have been …
Why is the thermal conductivity of Janus nanofluid larger?–From the perspective of aggregation morphology
J Hou, C Shao, L Huang, J Du, R Wang - Powder Technology, 2023 - Elsevier
The nanoparticle aggregation is a crucial factor for the thermal conductivity of nanofluids
based on previous researches. Molecular dynamics simulations for the nanofluids involving …
based on previous researches. Molecular dynamics simulations for the nanofluids involving …