Abstract
The research area of computational science and multiscale modeling of materials has not completely come of age yet. The prevalent procedure of multiscale modeling is to find designed solutions for each individual problem to be solved. There are no real standard procedures that can be applied for any model on any scale. This has to do with the structural complexity of systems on different length scales, but also with the artificial human separation into several scales and methods applicable on these scales. Nature itself does not make such a distinction and the theoretical development of methods is thus far from being exhaustive. Perhaps the most interesting progress in multiscale computational science can be expected in the area of biological systems where more and more physicists, computer scientists and mathematicians are entering the field of genomics, drug design, molecular modeling of enzymes, proteins and other molecular structures. What is really needed, is to overcome the traditional boundaries of knowledge and research and their artificial partition into “biology”, “chemistry”, “physics” and so forth. This is necessary, as multiscale computational science truly requires knowledge and experience in different disciplines of research.
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Steinhauser, M.O. (2017). Perspectives in Multiscale Materials Modeling. In: Computational Multiscale Modeling of Fluids and Solids. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53224-9_8
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DOI: https://doi.org/10.1007/978-3-662-53224-9_8
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-53222-5
Online ISBN: 978-3-662-53224-9
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