Benutzer Diskussion:OlgaMaclurcan32

Aus CMC Wiki
Version vom 23. Dezember 2020, 09:06 Uhr von OlgaMaclurcan32 (Diskussion | Beiträge) (Die Seite wurde neu angelegt: „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 anal…“)
(Unterschied) ← Nächstältere Version | Aktuelle Version (Unterschied) | Nächstjüngere Version → (Unterschied)
Zur Navigation springen Zur Suche springen

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.

Here is my page ... https://www.youtube.com/watch?v=Bps5Eo1B78w