Complex Systems and Computational Physics
Image: Freepik.com
Image: Freepik.com
In this subject we conduct research in exploring the intricate behaviors of complex networks, digital physics, and theoretical physics. This includes applying network science and modeling efforts to better understand the world around us.
We create replicas of real-world systems, make AI training data, and experiment with machines and materials.
For the passion of revealing stories in relational data to address research questions across the sciences.
We study the jamming transition with computer simulations of idealized mathematical models.
The Complex Network Group investigates the structure and dynamics of complex networks, focusing on their applications in various scientific domains. The Digital Physics Group explores the computational aspects of physical systems, aiming to understand the digital nature of physical laws and phenomena. Peter Olsson's lab delves into fundamental questions in physics, employing advanced mathematical models and simulations to better understand the fine-grained details of the world.