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Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal

Editor-in-Chief: Jack Xin, University of California, Irvine. Find out who makes up the rest of the Editorial Board.

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About the Journal

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 bridges the growing gap in communication between mathematics, chemistry, physics, engineering, computer science, environmental science, and more.

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Editorial Board

Instructions for Authors

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SIAM publishes 18 peer-reviewed research journals and is the leading source of knowledge for the world's applied mathematics and computational science communities. The full text of all SIAM journals are available electronically by subscription.
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