In the last few decades, multiscale modelling has emerged as one of the dominant
modelling paradigms in many areas of science and engineering. Its rise to dominance is …

It is coming nowadays more clear that in order to obtain a unified description of the different
mechanisms governing the behavior and causality relations among the various parts of a …

Abstract System-of-systems approaches for integrated assessments have become prevalent
in recent years. Such approaches integrate a variety of models from different disciplines and …

SfePy (simple finite elements in Python) is a software for solving various kinds of problems
described by partial differential equations in one, two, or three spatial dimensions by the …

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 …

We expect that multiscale simulations will be one of the main high performance computing
workloads in the exascale era. We propose multiscale computing patterns as a generic …

We review a methodology to design, implement and execute multi-scale and multi-science
numerical simulations. We identify important ingredients of multi-scale modelling and give a …

Abstract We present the Multiscale Coupling Library and Environment: MUSCLE 2. This
multiscale component-based execution environment has a simple to use Java, C++, C …

Inherently complex problems from many scientific disciplines require a multiscale modeling
approach. Yet its practical contents remain unclear and inconsistent. Moreover, multiscale …

Biomass (eg, agricultural residues, energy crops, and woody forest residues) is the only
renewable source of carbon and a potential resource to substitute fossil hydrocarbons in the …