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Center for Modeling and Simulation



Modeling and simulation are core competences at the DISS that have been evolved and perfected over the last decade. The available expertise goes far beyond the straightforward application of well-established proprietary software packages like COMSOL® or ANSYS®, and covers the full range from analytical over semi-analytical/numerical modeling to self-coded computer numerical simulation algorithms.


As cross-cutting issues the modeling and simulation activities are integral parts of basically all research activities carried out at the department. They may involve


  • multi-physics simulations where the interactions of different energy domains are taken into account,
  • multiple length scale simulations like the investigation of how nano-scale effects can be exploited in the development of microsensors,
  • different abstraction levels comprising physical, device, system, or network simulations, and
  • various simulation techniques such as analytical and semi-analytical approaches, finite element methods, boundary element methods, or discrete-event methods.


Simulation activities are performed for sensor and actuator development and optimization, functional material design and characterization, model-based measurement data processing, as well as for system and large-scale network behavior. Example use-cases of simulations performed at DISS are


  • different physical domains like electromagnetism, fluid mechanics, structural mechanics, and heat transfer, which may interact in a complicated way, are implemented in an integrated simulation environment and analyzed in an efficient manner in order to simulate the fluid structure interaction in flow sensors and microfluidic chips
  • mesoscopic simulations help to understand how the nano- and microstructure influences the properties of functional materials resulting in material models that form the basis for a tailored design of top-notch sensor components
  • nano, micro-, and milliscale simulations describe the interplay of various transducer elements and predict the functional response of an entire sensor device
  • precise oscillator models are applied for studying the ultimate accuracy of the time base in distributed clock systems
  • comprehensive network models based on statistical methods facilitate fault-tolerance analyses and optimization of large-scale systems found in enterprise factories or wide area smart grid systems




Photo: DISS
Photo: DISS