The ability to couple distinct computational models of science and engineering systems is still a recurring challenge when developing multiphysics applications. The applied coupling technique is often dictated by various constraints (such as hard- and software requirements for the submodels to be coupled). This may lead to different coupling strategies/implementations in case a submodel has to be replaced in an existing coupled setup. Additional efforts are required when it comes to multiscale coupling. At least one of the submodels has to be modified to provide a matching interface on a specific spatial and temporal scale. In the present paper we describe a generic coupling mechanism/framework to reduce these common problems and to facilit...
In cyber-physical system (CPS), cooperation between a variety of computational and physical elements...
Complex physical phenomena are characterized by sub-systems that continuously interact with each oth...
We present a set of simulation processors and de-scribe their temporal collaboration in support of t...
Abstract. Coupling models is becoming more and more important in the fields where modeling relies on...
The Complex Automata (CxA) methodology offers a new framework to develop multiscale and multiscience...
In computational models, there is an increasing need for coupling: ranging from coupling at the equa...
13th KES International Conference, KES-AMSTA-2019, Agents and Multi-agent Systems: Technologies and ...
We introduce Complex Automata, a generic methodology to model multi-scale complex systems. A Complex...
Challenging questions in science and engineering often require to decouple a complex problem and to ...
AbstractAn efficient way to simulate multi-physics scenarios is given by the partitioned coupling ap...
International audienceCoupled problems arise because certain aspects of some systems have previously...
This paper describes a coupling framework for parallel execution of different solvers for multi-phys...
Cellular Automata (CA) are generally acknowledged to be a powerful way to describe and model natural...
This paper proposes a newmodeling and solutionmethod that is relatively simple yet powerful enough t...
Cellular Automata are commonly used to describe complex natural phenomena. In many cases it is requi...
In cyber-physical system (CPS), cooperation between a variety of computational and physical elements...
Complex physical phenomena are characterized by sub-systems that continuously interact with each oth...
We present a set of simulation processors and de-scribe their temporal collaboration in support of t...
Abstract. Coupling models is becoming more and more important in the fields where modeling relies on...
The Complex Automata (CxA) methodology offers a new framework to develop multiscale and multiscience...
In computational models, there is an increasing need for coupling: ranging from coupling at the equa...
13th KES International Conference, KES-AMSTA-2019, Agents and Multi-agent Systems: Technologies and ...
We introduce Complex Automata, a generic methodology to model multi-scale complex systems. A Complex...
Challenging questions in science and engineering often require to decouple a complex problem and to ...
AbstractAn efficient way to simulate multi-physics scenarios is given by the partitioned coupling ap...
International audienceCoupled problems arise because certain aspects of some systems have previously...
This paper describes a coupling framework for parallel execution of different solvers for multi-phys...
Cellular Automata (CA) are generally acknowledged to be a powerful way to describe and model natural...
This paper proposes a newmodeling and solutionmethod that is relatively simple yet powerful enough t...
Cellular Automata are commonly used to describe complex natural phenomena. In many cases it is requi...
In cyber-physical system (CPS), cooperation between a variety of computational and physical elements...
Complex physical phenomena are characterized by sub-systems that continuously interact with each oth...
We present a set of simulation processors and de-scribe their temporal collaboration in support of t...