Efficient search of critical points in Ising-like systems

We propose a simulation method inspired by self-organization that drives Ising-like magnetic systems rapidly to criticality. We develop a feedback control rule with very few parameters for use with the standard methods of local spin updatings that spontaneously leads the system to the critical temperature. This method for predicting the critical values requires small lattices. It gives good results eg., 1% accuracy for TC in 3-D for 103 systems, with reduced computer times, for both Glauber and Metropolis dynamics.