Speaker
David Saad
(Aston University, Birmingham, UK)
Description
The dynamics of non-equilibrium Ising model with parallel
updates is investigated using a generalized mean field
approximation that incorporates multiple two-site
correlations at any two time steps, which can be obtained
recursively. The proposed method shows significant
improvement in predicting local system properties compared
to other mean field approximation techniques, particularly
in systems with symmetric interactions. Results are also
evaluated against those obtained from Monte Carlo
simulations. The method is also employed to obtain parameter
values for the kinetic inverse Ising modelling problem,
where couplings and local fields values of a fully connected
spin system are inferred from data.
Hamed Mahmoudi, David Saad, Generalized mean field
approximation for parallel dynamics of the Ising model,
Jour. Stat. Mech., in press (2014)
