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A Verlet list (named after Loup Verlet) is a data structure in molecular dynamics simulations to efficiently maintain a list of all particles within a given cut-off distance of each other.[1]

This method may easily be applied to Monte Carlo simulations. For short-range interactions, a cut-off radius is typically used, beyond which particle interactions are considered "close enough" to zero to be safely ignored. For each particle, a Verlet list is constructed that lists all other particles within the potential cut-off distance, plus some extra distance so that the list may be used for several consecutive Monte Carlo "sweeps" before being updated. If we wish to use the same Verlet list n times before updating, then the cut-off distance for inclusion in the Verlet list should be Rc+2nd, where Rc is the cut-off distance of the potential, and d is the maximum Monte Carlo step of a single particle. Thus, we will spend of order N2 time to compute the Verlet lists (N is the total number of particles), but are rewarded with n Monte Carlo "sweeps" of order Nn2 (instead of NN). Optimizing our choice of n, it can be shown that the O(N2) problem of Monte Carlo sweeps has been converted to an O(N5/3) problem by using Verlet lists.

Using cell lists to identify the nearest neighbors in O(N) further reduces the computational cost.

See also

References

43 year old Petroleum Engineer Harry from Deep River, usually spends time with hobbies and interests like renting movies, property developers in singapore new condominium and vehicle racing. Constantly enjoys going to destinations like Camino Real de Tierra Adentro.

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