Results 131 to 140 of about 84,882 (267)

Residual Strength Prediction of Chemically Reactive Two‐Phase Nanofluid Flow in a Bingham–Papanastasiou Rheological Theory Using a Morlet‐Based Wavelet Neural Network Approach

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The behavior of nanofluid flow involving a zero‐mass flux condition has received considerable interest because of a realistic scenario. In reality, this condition confines the optimistic accumulation or disappearance of nanoparticles past a sheet, constructing a more physically realistic demonstration through several applications, such as heat
Umair Khan   +3 more
wiley   +1 more source

Bayesian Multi-Model Comparison and Nonlinear Mixed Modelling of Growth Trajectories in Denizli Chickens. [PDF]

open access: yesAnimals (Basel)
Manav HR   +5 more
europepmc   +1 more source

Streamline and Isotherm Visual Analysis of Darcy–Forchheimer von Karman Spinning Flow of Maxwell Fluid Over a Stretching Disk With Quadratic Temperature‐Dependent Heat Source

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This research paper provides an extensive study of the effects of Darcy–Forchheimer von‐Karman spinning flow of Maxwell fluid across a stretching disk including the effect of heat generation based on a nonlinear function of temperature. The flow system is influenced by thermal radiations and Arrhenius activation energy.
Ebrahem A. Algehyne   +6 more
wiley   +1 more source

MHD Maxwell Hybrid Nanofluid Transport Featuring Solar Radiation and Thermo‐Diffusive Impacts Over a Permeable Slanted Stretching Sheet

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Hybrid nanofluids have emerged as next‐generation working fluids for advanced engineering application due to their superior heat transport capability in relation to the conventional nanofluids. Motivated by the rising demand for accurate prediction of transport phenomena under realistic operating situations, the present study examines the ...
B. Prabhakar Reddy   +3 more
wiley   +1 more source

Compositional Time–Temperature–Transformation and Post‐Processing Window Mapping of Epoxy Nanocomposites via Machine Learning

open access: yesJournal of Applied Polymer Science, EarlyView.
Discrete DSC and rheological data are transformed into continuous compositional Time–temperature–transformation (TTT) diagrams through physics‐informed Gaussian Process Regression. The proposed framework quantitatively predicts post‐gel processing windows across temperature and nanofiller composition, providing a practical route for accelerated design ...
Otávio Bianchi   +6 more
wiley   +1 more source

A Multicenter, Open‐Label, Phase 2 Trial Comparing Crizanlizumab Combined With Standard Therapy to Standard Therapy Alone on Renal Function in Patients With Sickle Cell Nephropathy (STEADFAST)

open access: yes
American Journal of Hematology, EarlyView.
Kenneth I. Ataga   +8 more
wiley   +1 more source

Artificial Neural Network Driven Computational Modeling of Naegleria fowleri Epidemics Using Variational Optimization

open access: yesAdvanced Physics Research, EarlyView.
ABSTRACT This study presents a mathematical framework to analyze the transmission dynamics of an amoeba‐induced central nervous system infection. The population is divided into compartments including susceptible, exposed, infected, quarantined, hospitalized, recovered, protected, and deceased.
Wakeel Ahmed   +3 more
wiley   +1 more source

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