Modeling more realistic swarmalator behavior with pulsative interactions

Key Points

• The research aims to explore how swarming and synchronization can coexist in swarmalator systems through more realistic modeling approaches.
• Developed a model for swarmalator behavior incorporating pulsative interactions.
• Applied computational simulations to understand complex system dynamics.
• Analyzed synchronization patterns and their relationship with swarming behavior.
• Showed that pulsative interactions enhance the stability of swarming and synchronization.
• Demonstrated that certain conditions allow for effective coexistence of these behaviors in complex systems.
• Revealed new parameters that influence swarmalator dynamics.