Results 131 to 140 of about 47,981 (273)
Mixed Convection Flow of Magnetic Viscoelastic Polymer from a Nonisothermal Wedge with Biot Number Effects [PDF]
, 2015 S. Abdul Gaffar +3 more
openalex +1 more source
Clinical Applications of Electrical Conductivity Imaging Using MRI
Journal of Magnetic Resonance Imaging, Volume 63, Issue 5, Page 1224-1245, May 2026.ABSTRACT Magnetic resonance imaging (MRI) has emerged as a noninvasive technique for probing the electrical properties of biological tissues: electrical conductivity and relative permittivity. This review focuses on the electrical conductivity and provides a comprehensive overview of applications across both low‐ and high‐frequency regimes.
Stefano Mandija +14 more
wiley +1 more source
Chitosan–Alginate Polyelectrolyte Systems: From Classical Release Models to the D‐PARMO Framework
Macromolecular Materials and Engineering, Volume 311, Issue 5, May 2026.Classical empirical models fail to predict the dynamic in vivo behavior of chitosan‐alginate nanocarriers. Bridging this translational gap, the novel D‐PARMO framework replaces purely descriptive curve‐fitting with a mechanistically informed operational model.
Parastoo Rekab, Akeem Adeyemi Oladipo
wiley +1 more source
Propulsion and Power ResearchThe prime focus of this article is to formulate and inspect the mathematical model concerning the bioconvective swirling stagnation point flow of magnetized Maxwell nanofluid in the presence of gyrotactic motile microorganisms through a stretchable ...
Arfan Shahzad +4 more
doaj +1 more source
Wind Energy, Volume 29, Issue 5, May 2026.ABSTRACT Yaw engineering models are commonly used as add‐ons to the industrial blade element momentum (BEM) framework to improve load and power predictions by accounting for the skewed wake effect. However, existing yaw engineering models show noticeable limitations in accurately predicting the induced velocity distribution across the blade span.
Haoyuan Sun, Andrea Sciacchitano, Wei Yu
wiley +1 more source
Alexandria Engineering JournalArtificial neural networks are used to solve boundary layer flow over a stretching sheet. The simplified form of governing equations is adopted and extended for supervised machine learning with linear regression technique.
Sohaib Abdal +3 more
doaj +1 more source
How Does Heterogeneity Control Strain Localization Patterns in High‐Porosity Rocks?
Journal of Geophysical Research: Solid Earth, Volume 131, Issue 5, May 2026.Abstract We aim to explore how heterogeneous porosity and grain size contribute to strain localization patterns in highly porous rocks based on phase‐field simulations. The strain localization patterns, including shear bands, dilatation bands, and compaction bands, are commonly observed in geological field studies and laboratory experiments.
Yunteng Wang +4 more
wiley +1 more source
Water Resources Research, Volume 62, Issue 5, May 2026.Abstract Accurate representation of pumping wells is essential for reliable reservoir characterization and simulation of operational scenarios in subsurface flow models. Physics‐informed neural networks (PINNs) are emerging as a promising alternative to numerical models for reservoir modeling, offering seamless integration of monitoring data and ...
Linus Walter +3 more
wiley +1 more source
International Journal of ThermofluidsIn a Darcy-Forchheimer porous medium with variable thermal conductivity, this work describes the convective transport mechanisms of Williamson nanofluid and nanofluid flow via an unstable stretched cylindrical sheet.
Sreedhar Sobhanapuram +6 more
doaj +1 more source