ANALYSIS, MODELING AND SIMULATIONS OF COMPLEX AND STOCHASTIC SYSTEMS

Abstract: 

Analysis, modeling and simulations of complex scientific and technological problems is a critical research area associated with a tremendous range of scientific and technological applications, from nanotechnology, complex biological systems and renewable energy to modeling and climate prediction, spread of epidemic diseases and the analysis of complex problems in finance. In spite of the breadth of these applications, their common mathematical theme is that they are characterized by multiple, interrelated spatio-temporal scales. Furthermore, the complexity of these problems along with data assimilation in the models requires their description through stochastic mathematical and computational models.

The aim of this proposal is the study of such systems, giving rise to new mathematical and computational challenges and requiring an innovative synergy of mathematics, statistics and computational techniques.

The problems we propose are divided into four thematic areas

  1. Coarse-graining for molecular systems: modeling, analysis and algorithms
  2. Parallel Algorithms for Molecular Simulation
  3. Stochastic partial differential equations (SPDE) and stochastic homogenization
  4. Modeling, analysis and simulation of hybrid micro-/meso-/macroscopic systems

Project info

Acronym:
AMOSICSS
Coordinating Institution:
University of Crete
Scientific Coordinator:
Katsoulakis Markos
Research Team 2 Leader:
Harmandaris Vagelis
Research Team 3 Leader:
Zouraris Georgios
Research Team 4 Leader:
Stratis Ioannis
Research Team 5 Leader:
Yannacopoulos Athanasios

Stats

I.D.:
1263
Mis:
377291
Budget:
586 500.00

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