Results 71 to 80 of about 194,948 (329)

Sparse Generalized Multiscale Finite Element Methods and their applications

open access: yes, 2015
In a number of previous papers, local (coarse grid) multiscale model reduction techniques are developed using a Generalized Multiscale Finite Element Method.
Chung, Eric   +3 more
core   +1 more source

Variational Multiscale Methods for incompressible flows [PDF]

open access: yesInternational Journal of Computing Science and Mathematics, 2007
The present paper reviews the Variational Multiscale Method (VMM) as a framework enabling the development of computational methods for the simulation of incompressible flows, particularly in the form of Large Eddy Simulations (LESs) of turbulent flows. Starting with a variational formulation of the Navier Stokes equations, a separation of all scales of
Wolfgang A. Wall   +2 more
openaire   +4 more sources

Photo‐Assisted Zn‐Iodine Battery via Bifunctional Cathode with Iodine Host and Solar Response Boost

open access: yesAdvanced Functional Materials, EarlyView.
A bifunctional cathode based on BiOI materials is developed for photo‐assisted Zn‐iodine batteries, serving as both an iodine host and a solar‐responsive material. This design enables dual reaction routes involving vacancy‐based iodine storage and reversible two steps iodine redox.
Hai Xu   +4 more
wiley   +1 more source

Multiscale Simulations for Coupled Flow and Transport Using the Generalized Multiscale Finite Element Method

open access: yesComputation, 2015
In this paper, we develop a mass conservative multiscale method for coupled flow and transport in heterogeneous porous media. We consider a coupled system consisting of a convection-dominated transport equation and a flow equation.
Eric T. Chung   +3 more
doaj   +1 more source

Fast Online Generalized Multiscale Finite Element Method using Constraint Energy Minimization

open access: yes, 2017
Local multiscale methods often construct multiscale basis functions in the offline stage without taking into account input parameters, such as source terms, boundary conditions, and so on.
Chung, Eric T.   +2 more
core   +1 more source

Internal Temperature Evolution Metrology and Analytics in Li‐Ion Cells

open access: yesAdvanced Functional Materials, EarlyView.
This study investigates the non‐linear evolution of internal temperatures across diverse operating conditions, highlighting the disparities between internal and external measurements and the resulting thermal asymmetries. The coupled thermo‐electrochemical modeling framework provides a comprehensive analysis of various heat generation modes, examining ...
Anuththara S. J. Alujjage   +5 more
wiley   +1 more source

Cosmological Non-Gaussian Signature Detection: Comparing Performance of Different Statistical Tests

open access: yesEURASIP Journal on Advances in Signal Processing, 2005
Currently, it appears that the best method for non-Gaussianity detection in the cosmic microwave background (CMB) consists in calculating the kurtosis of the wavelet coefficients.
Starck J-L   +4 more
doaj   +1 more source

A Multiscale Feature Learning Scheme Based on Deep Learning for Industrial Process Monitoring and Fault Diagnosis

open access: yesIEEE Access, 2019
Considering that industrial data exhibit nonlinearity, high dimensionality and inherent multiscale characteristics, this paper proposes an intelligent industrial process monitoring and fault diagnosis method based on the discrete wavelet transform and ...
Jing Yuan, Ying Tian
doaj   +1 more source

Role of Pressure and Expansion on the Degradation in Solid‐State Silicon Batteries: Implementing Electrochemistry in Particle Dynamics

open access: yesAdvanced Functional Materials, EarlyView.
A simulation technique for assessing both the fabrication and operation of a solid‐state Si battery is demonstrated by integrating particle dynamics with mass/charge transport. Although, the fabrication pressure (Pfab) increased the inter‐particle contacts and reduced the concentration (ηconc) and Li‐ion (ηLi+) overpotentials during discharging, it ...
Magnus So   +4 more
wiley   +1 more source

Learning Algorithms for Coarsening Uncertainty Space and Applications to Multiscale Simulations

open access: yesMathematics, 2020
In this paper, we investigate and design multiscale simulations for stochastic multiscale PDEs. As for the space, we consider a coarse grid and a known multiscale method, the generalized multiscale finite element method (GMsFEM).
Zecheng Zhang   +3 more
doaj   +1 more source

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