We present MUSE, a software framework for combining existing computational tools for different astrophysical domains into a single multiphysics, multiscale application. MUSE facilitates the coupling of existing codes written in different languages by providing inter-language tools and by specifying
Stochastic modeling of multiscale and multiphysics problems
β Scribed by Nicholas Zabaras; Dongbin Xiu
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 105 KB
- Volume
- 197
- Category
- Article
- ISSN
- 0045-7825
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β¦ Synopsis
Stochastic modeling of multiscale and multiphysics problems
Diverse research fields of current technological importance encompassing nano materials, plasma physics, roughness and scattering in electromagnetics, fluid-structure interaction, materials, turbulence, soil contamination, transport in geological media, bio-chemical reactions and other include a rich array of physical phenomena occurring at multiple length and time scales. Computational modeling is critical for understanding these processes and for their subsequent design and control. Further, uncertainty invariably manifests in these processes as inexact knowledge about material properties, boundary conditions, constitutive laws, and governing physical, mathematical, and numerical models.
This special issue of CMAME brings together the work of scientists from various fields that emphasize the role of stochastic modeling in multiscale and multiphysics systems.
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## Abstract Simulation of multiphysics problems is a common task in applied research and industry. Often a multiphysics solver is built by connecting several singleβphysics solvers into a network. In this paper, we develop a basic adaptive methodology for such multiphysics solvers. The adaptive met