Soft materials often exhibit a distinctive power-law viscoelastic response arising from broad
distribution of time-scales present in their complex internal structure. A promising tool to …

The present paper introduces memristor-based fractional-order neural networks. The
conditions on the global Mittag-Leffler stability and synchronization are established by using …

The main objective of this work is to present a comprehensive study that scrutinize the
influence of DD convection and induced magnetic field on peristaltic pum** of Boron …

This work's primary goal is to give a novel thorough investigation that examines the effects of
the temperature-and concentration-dependent electrical conductivity on the peristaltic flow …

In this paper, the effects of heat transfer and Hall current on the sinusoidal motion of solid
particles through a planar channel has been discussed. The walls of the channel are …

The molecular understanding of carcinogenesis and tumor progression rests in intra and
inter-tumoral heterogeneity. Solid tumors confined with vast diversity of genetic …

In this article, simultaneous effects of coagulation (blood clot) and variable magnetic field on
peristaltically induced motion of non-Newtonian Jeffrey nanofluid containing gyrotactic …

Mathematical simulation of biological fluids is of upmost significance due to its numerous
medical uses. Interpreting various biological flows necessitates a thorough knowledge of the …

This article presents a computational study for the peristaltic pum** within vertical irregular
divergence channels filled with magnetic six-constant Jeffrey nanofluids. Various …

Fractional-order neural networks play a vital role in modeling the information processing of
neuronal interactions. It is still an open and necessary topic for fractional-order neural …