Many important scientific problems are inherently multi scale. This is, for instance, the case in models in material science or environmental science. A big challenge is to formulate generic frameworks for multiscale modeling and simulation. Despite its importance, the scientific community still lacks a well-accepted generic methodology to address multiscale computating. We review a recent theoretical framework which aims at filling this gap. We also present new results and extension in relation with scale bridging methods and execution multiscale simulation on HPC systems, and discuss open questions related to this topic
We review a methodology to design, implement and execute multi-scale and multi-science numerical sim...
Multiscale Modelling and Simulation (MMS) is a cornerstone in today's research in computational scie...
Multiscale models combine knowledge, data, and hypotheses from different scales. Simulating a multis...
Many important scientific problems are inherently multi scale. This is, for instance, the case in mo...
Multiscale systems that are characterized by a great range of spatial–temporal scales arise widely i...
Multiscale systems that are characterized by a great range of spatial–temporal scales arise widely i...
Multiscale systems that are characterized by a great range of spatial–temporal scales arise widely i...
Multiscale systems that are characterized by a great range of spatial–temporal scales arise widely i...
Multiscale systems that are characterized by a great range of spatial–temporal scales arise widely i...
Multiscale systems that are characterized by a great range of spatial–temporal scales arise widely i...
We argue that, despite the fact that the field of multiscale modelling and simulation has enjoyed si...
In recent years we have seen an explosive growth of activities in multiscale modeling and computatio...
One contribution of 13 to a Theme Issue ‘Multi-scale systems in fluids and soft matter: approaches, ...
Multiscale modeling and computation is a rapidly evolving area of research that will have a fundamen...
In this position paper, we discuss two relevant topics: (i) generic multiscale computing on emerging...
We review a methodology to design, implement and execute multi-scale and multi-science numerical sim...
Multiscale Modelling and Simulation (MMS) is a cornerstone in today's research in computational scie...
Multiscale models combine knowledge, data, and hypotheses from different scales. Simulating a multis...
Many important scientific problems are inherently multi scale. This is, for instance, the case in mo...
Multiscale systems that are characterized by a great range of spatial–temporal scales arise widely i...
Multiscale systems that are characterized by a great range of spatial–temporal scales arise widely i...
Multiscale systems that are characterized by a great range of spatial–temporal scales arise widely i...
Multiscale systems that are characterized by a great range of spatial–temporal scales arise widely i...
Multiscale systems that are characterized by a great range of spatial–temporal scales arise widely i...
Multiscale systems that are characterized by a great range of spatial–temporal scales arise widely i...
We argue that, despite the fact that the field of multiscale modelling and simulation has enjoyed si...
In recent years we have seen an explosive growth of activities in multiscale modeling and computatio...
One contribution of 13 to a Theme Issue ‘Multi-scale systems in fluids and soft matter: approaches, ...
Multiscale modeling and computation is a rapidly evolving area of research that will have a fundamen...
In this position paper, we discuss two relevant topics: (i) generic multiscale computing on emerging...
We review a methodology to design, implement and execute multi-scale and multi-science numerical sim...
Multiscale Modelling and Simulation (MMS) is a cornerstone in today's research in computational scie...
Multiscale models combine knowledge, data, and hypotheses from different scales. Simulating a multis...