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Three-dimensional shape and connectivity of physical networks
Data describing the three-dimensional structure of physical networks is increasingly
available, leading to a surge of interest in network science to explore the relationship …
available, leading to a surge of interest in network science to explore the relationship …
Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial
SX Liu - arxiv preprint arxiv:2411.15945, 2024 - arxiv.org
This tutorial investigates the convergence of statistical mechanics and learning theory,
elucidating the potential enhancements in machine learning methodologies through the …
elucidating the potential enhancements in machine learning methodologies through the …
Network dismantling by physical damage
We explore the robustness of complex networks against physical damage. We focus on
spatially embedded network models and datasets where links are physical objects or …
spatially embedded network models and datasets where links are physical objects or …
Ensemble inequivalence and phase transitions in unlabeled networks
We discover a first-order phase transition in the canonical ensemble of random unlabeled
networks with a prescribed average number of links. The transition is caused by the …
networks with a prescribed average number of links. The transition is caused by the …
Quantum Dynamics of Curves on Curved Surfaces Embedded in Euclidean Space
Fabrication of one-dimensional curved waveguide on two-dimensional curved manifold may
give an impetus to the investigation on new devices. Understanding how the combined …
give an impetus to the investigation on new devices. Understanding how the combined …