Results 61 to 70 of about 11,331 (217)

Bioconvective Chemically Reactive Radiative Squeezing Flow of a Casson Hybrid Nanofluid Between Two Parallel Plates Under Variable Viscosity

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Hybrid nanofluids, known for their superior thermal and electrical conductivity, have demonstrated remarkable potential in enhancing the heat transfer capability of conventional base fluids. This study analyzes the effects of viscous dissipation and heat radiation on two‐dimensional unsteady incompressible squeezing flow transporting hybrid ...
Hajra Batool   +3 more
wiley   +1 more source

Rough linear transport equation with an irregular drift

open access: yes, 2015
We study the linear transport equation \[ \frac{\partial}{\partial t} u ( t,x ) +b ( t,x ) \cdot \nabla u ( t,x ) + \nabla u ( t,x ) \cdot \frac{\partial}{\partial t} X ( t ) =0, \hspace{2em} u ( 0,x ) =u_{0} ( x ) \] where $b$ is a vectorfield of ...
Catellier, Rémi
core   +2 more sources

Polymer‐Crosslinking System‐Filler Interactions in Polychloroprene Adhesives: Experimental and Molecular Modeling Insights

open access: yesJournal of Applied Polymer Science, EarlyView.
The use of polychloroprene is common in elastomeric adhesives. This study highlights the possible substitution of zinc oxide curing systems to a less hazardous metal complex, also evaluating the changes that higher surface area fillers can bring to the adhesive.
Gabriel Bachega Rosa   +3 more
wiley   +1 more source

Surfactant‐Enhanced Electrospun Nanofiber Filters for Efficient Viral and Bacterial Inactivation

open access: yesJournal of Applied Polymer Science, EarlyView.
In this work, electrospun polyacrylonitrile (PAN) nanofibrous filters functionalized with surfactants (CTAB, CPC, and SDS) were developed for air filtration applications. The PAN nanofiber mats enable efficient particulate matter capture while simultaneously providing antimicrobial and antiviral activity against bacteria (E. coli and S.
Edilton N. da Silva   +9 more
wiley   +1 more source

Diffusion in quantum geometry

open access: yes, 2012
The change of the effective dimension of spacetime with the probed scale is a universal phenomenon shared by independent models of quantum gravity. Using tools of probability theory and multifractal geometry, we show how dimensional flow is controlled by
A. A. Kilbas   +2 more
core   +1 more source

A priori bounds for the generalised parabolic Anderson model

open access: yesCommunications on Pure and Applied Mathematics, EarlyView.
Abstract We show a priori bounds for solutions to (∂t−Δ)u=σ(u)ξ$(\partial _t - \Delta) u = \sigma (u) \xi$ in finite volume in the framework of Hairer's Regularity Structures [Invent Math 198:269–504, 2014]. We assume σ∈Cb2(R)$\sigma \in C_b^2 (\mathbb {R})$ and that ξ$\xi$ is of negative Hölder regularity of order −1−κ$- 1 - \kappa$ where κ<κ¯$\kappa <
Ajay Chandra   +2 more
wiley   +1 more source

Upper bounds for the density of solutions of stochastic differential equations driven by fractional Brownian motions [PDF]

open access: yes, 2011
In this paper we study upper bounds for the density of solution of stochastic differential equations driven by a fractional Brownian motion with Hurst parameter H > 1/3.
Baudoin, Fabrice   +2 more
core   +3 more sources

A fractional Brownian motion model for the turbulent refractive index in lightwave propagation

open access: yes, 2004
It is discussed the limitations of the widely used markovian approximation applied to model the turbulent refractive index in lightwave propagation. It is well-known the index is a passive scalar field. Thus, the actual knowledge about these quantities
Beckman   +26 more
core   +1 more source

Optimal Algebras and Novel Solutions of Time-Fractional 2+1−D European Call Option Model

open access: yesDiscrete Dynamics in Nature and Society
In this article, we analyse the time-fractional 2+1−D Black–Scholes model for European call options by employing Lie symmetry analysis. We derive the infinitesimal transformations and classify the optimal systems.
Gimnitz Simon S.   +2 more
doaj   +1 more source

Deep Neural Network Model for Hurst Exponent: Learning from R/S Analysis

open access: yesMathematics
This paper proposes a deep neural network (DNN) model to estimate the Hurst exponent, a crucial parameter in modelling stock market price movements driven by fractional geometric Brownian motion.
Luca Di Persio, Tamirat Temesgen Dufera
doaj   +1 more source

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