讲座题目：Interdependent networks: from theory to experiments & Physical networks: a versatile framework for novel metamaterials
主讲人：Ivan Bonamassa 教授
主持人：周杰 副教授
开始时间：2025-05-06 10:30:00
讲座地址：闵行校区物理楼226报告厅
主办单位：物理与电子科学学院
报告人简介：
Ivan Bonamassa is a Senior Researcher at the DNDS at CEU, where he joined the "Dynasnet" Synergy-ERC project on the topic of physical networks. Ivan has completed in October 2021 his Ph.D. in Physics at Bar-Ilan University with a doctoral dissertation entitled "When More is Different: Exploring Coupled Collective Phenomena in Multilayer Dynamical Systems" under the supervision of Prof. S. Havlin. His research interests span the study of interdependent systems, geometric and dynamical aspects of complex networks, and general statistical physics approaches to real-world complexity.
报告内容：
In an increasingly connected world, no system operates in isolation. In this talk I will explore the fascinating world of interdependent systems, where the failure of one component can ripple across entire networks, propagating their influence within and across scales. Interdependence is not merely a passive linkage: it represents an adaptive coupling, where elements “learn” from the states and behaviors of others and continuously adjust their interactions. We will present recent experimental evidence supporting the existence of universality classes governing the critical cascading processes underlying the mixed-order phase transitions reported in these systems and elucidate their metastable nature.
Physical networks –graphs where nodes and links are volumetric objects bound by physical or geometric constraints– have emerged as a versatile framework to characterize the morphological complexity observed in real-world data. Here, I will review recent progress made in the characterization of minimal models of physical networks, highlighting how mutual interactions among elements drive the emergence of correlated heterogeneities in their morphology and topology. In particular, I will show that a network-of-networks representation of biological physical networks –modeling. predicts the emergence of a morphological preferential attachment mechanism caused by volume exclusion and the random sequential nature of their growth.
