Memristive networks: from graph theory to statistical physics
EPL 125, 1 (2019)
#graphtheory#statistics#memristors
A triple torus.
We provide an introduction to a very specific toy model of memristive networks, for which an exact differential equation for the internal memory which contains the Kirchhoff laws is known. In particular, we highlight how the circuit topology enters the dynamics via an analysis of directed graph. We try to highlight in particular the connection between the asymptotic states of memristors and the Ising model, and the relation to the dynamics and statics of disordered systems.
Degree-correlations in a bursting dynamic network model
F. Vanni, P. Barucca
Journal of Economic Interaction and Coordination
Phase transition creates the geometry of the continuum from discrete space
R. Farr, T. Fink
Physical Review E
Intelligently chosen interventions have potential to outperform the diode bridge in power conditioning
F. Liu, Y. Zhang, O. Dahlsten, F. Wang
Scientific Reports
Portfolio analysis and geographical allocation of renewable sources: A stochastic approach
A. Scala, A. Facchini, U. Perna, R. Basosi
Energy Policy
The statistical physics of real-world networks
G. Cimini, T. Squartini, F. Saracco, D. Garlaschelli, A. Gabrielli, G. Caldarelli
Nature Reviews Physics
PopRank: Ranking pages’ impact and users’ engagement on Facebook
A. Zaccaria, M. Vicario, W. Quattrociocchi, A. Scala, L. Pietronero
PLoS ONE
On defining the Hamiltonian beyond quantum theory
D. Branford, O. Dahlsten, A. Garner
Foundations of Physics
120 / 120 papers