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Last week, we began to look at periodic boundary conditions
and how they might help the computational researcher
perform more realistic and meaningful simulations. We saw
that periodic boundary conditions (PBC's) make it seem as
though the system is infinitely large, at least as far
as calculating properties goes. Indeed, using PBC's in the
modeling of a bulk system can dramatically enhance the quality
of calculated properties, and they are generally simpler to
implement than many of the alternative methods. While PBC's
can ultimately affect a great many aspects of a simulation,
all of their benefits can really be seen by just looking
at neighbor lists.
In particular, the use of PBC's allows us to construct neighbor lists in a consistent way through the entire spatial scope of the simulation. It's easy to imagine that the important neighbors of a particle sitting in the center of the simulation box probably also sit in the simulation box. As we get nearer to the box wall, though, a molecule will have some of its neighbors in the box, and then nothing on the other side of the wall (without PBC's, that is). When using PBC's, though, there is an exact copy of the entire simulation box immediately adjacent to it. This means that the particle near the wall interacts with an exact image of particles on the other side of the box (though not the particles themselves). The particle, then behaves just as if it were sitting the middle of the box, not stranded out at the wall somewhere. Of course, there are solutions to handling boundary interactions that do not involve periodic boundary conditions. They usually involve some sort of "cluster" approximation that uses a potential to model a definite end of the box. Go To Page: 1 2
The copyright of the article More on Periodic Boundary Conditions in Scientific Computing is owned by Adam Hughes. Permission to republish More on Periodic Boundary Conditions in print or online must be granted by the author in writing.
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