Results 71 to 80 of about 11,121 (220)
Deep Neural Network Model for Hurst Exponent: Learning from R/S Analysis
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
The surface chemistry of commercial, fragmented, and artificially weathered microplastic particles is characterized by the streaming potential technique. The streaming potential technique allows to study the zeta‐potential of particles too big for electrophoretic mobility.
Matthias B. Engelhardt +12 more
wiley +1 more source
Measuring Bending Rigidity and Compression Resistance in Pickering Layers
This graphical abstract presents the mechanical response of Pickering layers of polystyrene beads (PBs) and clay particles (CPs) under compression. PBs exhibit buckling at 40–70 mN/m, whereas CPs show no buckling. Experimental force–compression curves highlight distinct deformation behaviors, and deviations in bending rigidity emphasize interparticle ...
Negar Azizi +4 more
wiley +1 more source
ABSTRACT This study numerically investigates thermal transport and fluid dynamics in a triangular cavity filled with a MgO–Ag–H2O hybrid nanofluid containing an undulating porous fin under electromagnetic field and thermal radiation influences. The governing equations are solved numerically using the Galerkin finite element methodology with Darcy ...
Adil Abbas Alwan +7 more
wiley +1 more source
ABSTRACT This study reviews recent advances in using nanofluids to enhance double‐pipe heat exchanger (DPHE) efficiency. The review examines several types of nanofluids, that is, water‐based graphene oxide and CuO–water nanofluids, assessing their effectiveness under different operating conditions, including inlet temperature and nanoparticle volume ...
Farhan Lafta Rashid +8 more
wiley +1 more source
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
Co‐continuous blends of poly (ethylene furanote)/polyethylene (PEF/PE) filled with graphene nanosheets show highly reduced percolation threshold compared to neat polymer/graphene nanocomposites. The reduced percolation signifies the interlocked graphene at polymer/polymer interface.
Safa Ahmed +4 more
wiley +1 more source
Montecarlo simulation of long-term dependent processes: a primer [PDF]
As a natural extension to León and Vivas (2010) and León and Reveiz (2010) this paper briefly describes the Cholesky method for simulating Geometric Brownian Motion processes with long-term dependence, also referred as Fractional Geometric Brownian ...
Alejandro Reveiz, Carlos Leóm
core
AgNPs were synthesized using Urtica dioica. AgNPs‐PU was prepared using a solution mixing method followed by spin coating. Microscopy Optical image of AgNPs‐PU composite with different concentrations of AgNPs. Electrical behaviour versus pressure. ABSTRACT This study explores the electrical properties of a nanocomposite composed of green‐synthesized ...
Saeid Mehvari +6 more
wiley +1 more source
Hybrid Nanoparticles Separated by Buoyant Density in a Large‐Scale Centrifugal Process
Zonal rotors, shaped like hollow bowls, can sort mixtures of macromolecules and polymer nanoparticles based only on their densities, regardless of their actual sizes or shapes. Using these rotors can make a big difference because they do not need to use centrifuge tubes.
Claudia Simone Plüisch +2 more
wiley +1 more source

