Description: The multiscale model is an approach that allows the representation and analysis of complex systems across different levels of detail and time scales. This type of model is fundamental in disciplines such as physics, biology, chemistry, and engineering, where phenomena can manifest differently depending on the scale at which they are studied. For example, in biology, a multiscale model can integrate molecular, cellular, and whole organism processes, allowing for a more holistic understanding of biological systems. The main characteristics of multiscale models include their ability to capture interactions between different scales, their flexibility to adapt to various applications, and their potential to improve the accuracy of simulations. These models are particularly relevant in the study of complex phenomena, where traditional single-scale modeling approaches may prove insufficient. By operating at multiple scales, these models not only facilitate the simulation of dynamic processes but also allow for the integration of experimental and theoretical data, thereby enriching the analysis and prediction of behaviors in complex systems.
