Classical Dynamic Ising Model
نویسنده
چکیده
We discuss the dynamics of the Ising model as a computational mesoscopic system. The simplicity of the Ising model allows a Hamiltonian dynamics to be developed from renormalization group theory considerations for the model which is not overly complicated and preserves a close connection with thermodynamics. At the same time, the additional structure gives the potential for application to neural networks, as a new fundamental model for networks. This extends the Ising model to a deterministic system, of potential interest for computations.
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