In the last few many years, computer simulations have turn out to be a elementary software in the sector of gentle matter science, allowing researchers to analyze the properties of a large variety of techniques. Nonetheless, even probably the most highly effective computational resources presently out there are, basically, adequate to simulate complex biomolecules just for a few nanoseconds. This limitation is often circumvented by utilizing coarse-grained fashions, wherein solely a subset of the system’s levels of freedom is retained; for an effective and insightful use of those simplified fashions; nevertheless, an acceptable parametrization of the interactions is of elementary significance. Moreover, in many circumstances the removing of positive-grained particulars in a selected, small area of the system would destroy relevant features; such instances could be treated using dual-resolution simulation methods, where a subregion of the system is described with high decision, and a coarse-grained representation is employed in the rest of the simulation area. On this overview we focus on the basic notions of coarse-graining principle, presenting the most typical methodologies employed to construct low-decision descriptions of a system and placing explicit emphasis on their similarities and differences. The AdResS and H-AdResS adaptive resolution simulation schemes are reported as examples of dual-resolution approaches, particularly focusing specifically on their theoretical background.
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