Swimmers’ Collective Dynamics Modelization
Document typeMaster thesis
Rights accessOpen Access
English: We describe a new model in order to study the properties of collections of self-propelled particles swimming in a two-dimensional fluid. Our model consist in two types of particles, the first interacting with each other with a soft potential and thus representing the fluid while the second type are self-propelled particles of biological nature capable of changing its orientation following the velocity field of the fluid. The results of the simulations show how a super-diffusive regime arises at large times for biological particles, in addition to having higher velocity correlation. Also, it is show how the biological particles have a tendency to form clusters and how these particles tend to look for the same orientation.