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Exploring the influence of nanolayer morphology on magnetized tri-hybrid nanofluid flow using artificial neural networks and Levenberg–Marquardt optimization

Numerical Heat Transfer, Part B Fundamentals
This study investigates the impact of morphological nanolayers on the thermal conductivity of magnetized tri-hybrid nanofluid flow using artificial neural networks (ANNs) employing the Levenberg–Marquardt (LM-ANN) scheme.
Faisal   +3 more
semanticscholar   +1 more source

A hybrid algorithm for pseudo-contractive mappings

Nonlinear Analysis: Theory, Methods & Applications, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
YAO Y, LIOU Y. C, MARINO, Giuseppe
openaire   +2 more sources

Hybrid contracting in repeated interactions

Many business relationships begin with informal interactions and later transition to formal contracts. Using a repeated-games model with a finite horizon, we show that this hybrid-contracting approach can both prolong cooperation (intensive margin) and enable it across a broader range of settings (extensive margin).
Ganglmair, Bernhard   +2 more
openaire   +1 more source

Light-activated interlayer contraction in two-dimensional perovskites for high-efficiency solar cells

Nature Nanotechnology, 2021
Wenbin Li   +19 more
semanticscholar   +1 more source

Physiological fluid flow analysis by means of contraction and expansion with addition of hybrid nanoparticles

The European Physical Journal Plus, 2019
H. Sadaf   +2 more
semanticscholar   +1 more source

Thermal study of Darcy–Forchheimer hybrid nanofluid flow inside a permeable channel by VIM: features of heating source and magnetic field

Journal of Thermal Analysis and Calorimetry, 2023
Khaleeq ur Rahman   +3 more
semanticscholar   +1 more source

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