Statistical Physics: Statics, Dynamics and Renormalization

By P. Martin. 2000

502 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Boolean Dynamics with Random Couplings (2002, methodology): “This work was recently extended by X. Qu et al., who consider larger values of noise and different connectivities of the network (Qu, Kadanoff, and Aldana [2002]).”
Spin glass models for a network of real neurons (2009, background): “The solution of the mean ﬁeld model is well known [46]; here we recall a few details which will be especially important in the context of neurons.”
A Unified and General Framework for Continual Learning (2024, background): “By Fokker-Planck equation (Kadanoff, 2000), gradient ﬂow of KL divergence is as following: P is the divergence operator operated on a vector-valued function q : R d → R d , where z i and q i are the i th element of z and q .”
Betweenness centrality in large complex networks (2003, background): “Universality is usually invoked in physics when different systems show the same behavior [18].”
The asymptotic safety scenario in quantum gravity: an introduction (2006, background): “See [81] and [154–156] for first hand accounts and a guide to the original articles.”