Hoekstra Alfons, Chopard Bastien, Coveney Peter
Computational Science, Institute for Informatics, Faculty of Science, University of Amsterdam, The Netherlands National Research University ITMO, St Petersburg, Russian Federation
Computer Science, University of Geneva, Geneva, Switzerland.
Philos Trans A Math Phys Eng Sci. 2014 Aug 6;372(2021). doi: 10.1098/rsta.2013.0377.
We argue that, despite the fact that the field of multiscale modelling and simulation has enjoyed significant success within the past decade, it still holds many open questions that are deemed important but so far have barely been explored. We believe that this is at least in part due to the fact that the field has been mainly developed within disciplinary silos. The principal topics that in our view would benefit from a targeted multidisciplinary research effort are related to reaching consensus as to what exactly one means by 'multiscale modelling', formulating a generic theory or calculus of multiscale modelling, applying such concepts to the urgent question of validation and verification of multiscale models, and the issue of numerical error propagation in multiscale models. Moreover, we believe that this would, in principle, also lay the foundation for more efficient, well-defined and usable multiscale computing environments. We believe that multidisciplinary research to fill in the gaps is timely, highly relevant, and with substantial potential impact on many scientific disciplines.
我们认为，尽管多尺度建模与模拟领域在过去十年中取得了显著成功，但仍存在许多重要的开放性问题，然而到目前为止这些问题几乎未得到探索。我们认为，这至少部分是由于该领域主要是在学科孤岛中发展起来的。我们认为，有针对性的多学科研究工作将从中受益的主要主题包括：就“多尺度建模”的确切含义达成共识、制定多尺度建模的通用理论或演算方法、将此类概念应用于多尺度模型验证与确认这一紧迫问题以及多尺度模型中的数值误差传播问题。此外，我们认为，从原则上讲，这也将为更高效、定义明确且实用的多尺度计算环境奠定基础。我们认为，开展多学科研究以填补这些空白是适时的、高度相关的，并且对许多科学学科具有重大潜在影响。
