Centered around multiscale phenomena, Multiscale Modeling and Simulation (MMS) is an interdisciplinary journal focusing on the fundamental modeling and computational principles underlying various multiscale methods. By its nature, multiscale modeling is highly interdisciplinary, with developments occurring independently across fields. A broad range of scientific and engineering problems involve multiple scales. Traditional monoscale approaches have proven to be inadequate, even with the largest supercomputers, because of the range of scales and the prohibitively large number of variables involved. Thus, there is a growing need to develop systematic modeling and simulation approaches for multiscale problems. MMS will provide a single broad, authoritative source for results in this area.
MMS's mission is to bridge the gap in multiscale research between mathematics and various application disciplines by publishing research papers and survey articles that augment the fundamental ways we model and predict multiscale phenomena. Particularly emphasized is the interplay between analysis and modeling, modeling and simulation, and mathematics and various applications.
MMS covers a broad range of areas, including biology, chemistry, engineering, environmental science, fluid dynamics, geophysics, information science, materials science, and physical science. Research papers that explore new concepts and innovative computational paradigms and reveal new physical phenomena are especially welcome. Papers on software and applications are as valued as fundamental analyses addressing the multiscale issues. However, those that deal with a specific technical issue in a particular application, and do not contain conceptually new ideas and will not benefit other application fields, will not be considered. Unlike application-oriented journals in specific application areas, MMS focuses on conceptually new ideas and methodology that can be used in different application fields.
The journal also features survey articles in emerging fields that convey the essential information of that field to a broad audience and foster cross-disciplinary collaborations.
To be considered by the journal, a paper should be in one (or a combination) of four categories:
- papers that develop a new multiscale model that provides new insight into the scientific problem;
- papers that analyze existing multiscale models or computational methods;
- papers that develop new multiscale computational methods; and
- papers devoted to direct numerical simulations or to experimental study of multiscale phenomena that leads to an improved understanding of the scientific problem.
Multiscale research that combines two or more of these approaches in an integrated fashion is especially encouraged.
Although the journal has no formal limits on manuscript length, papers
exceeding 25 pages, in SIAM style, will be reviewed more closely to ensure that
the excess is fully justified.
Submission of a manuscript to a SIAM journal is representation by the author that the manuscript has not been submitted simultaneously for publication elsewhere. Papers that have been published elsewhere will not be considered. An exception may be made for a substantially revised conference proceedings paper, provided that it is so identified in the submission letter and in the paper itself.