Abstract
The concept of multiscale modelling has emerged over the last few decades to describe procedures that seek to simulate continuum-scale behaviour using information gleaned from computational models of finer scales in the system, rather than resorting to empirical constitutive models. A large number of such methods have been developed, taking a range of approaches to bridging across multiple length and time scales. Here we introduce some of the key concepts of multiscale modelling and present a sampling of methods from across several categories of models, including techniques developed in recent years that integrate new fields such as machine learning and material design.
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Fish, J., Wagner, G.J. & Keten, S. Mesoscopic and multiscale modelling in materials. Nat. Mater. 20, 774â786 (2021). https://doi.org/10.1038/s41563-020-00913-0
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DOI: https://doi.org/10.1038/s41563-020-00913-0
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