Abstract
We are presenting a progress overview associated with our work on a data-driven environment for multiphysics applications (DDEMA). In this paper, we emphasize the dynamic-data-driven adaptive modeling and simulation aspects. Adaptive simulation examples of sensor-originating data-driven precomputed solution synthesis are given for two applications. Finally, some of the computational implementation details are presented. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Michopoulos, J., Farhat, C., Houstis, E., Tsompanopoulou, P., Zhang, H., & Gullaud, T. (2005). Dynamic data driven methodologies for multiphysics system modeling and simulation. In Lecture Notes in Computer Science (Vol. 3515, pp. 616–623). Springer Verlag. https://doi.org/10.1007/11428848_80
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