This set of simulations adds
charge to the gold particles and observes the results. Note that this
experiment has not been conducted before in a labratory, so there are no
experimental results to compare with in this case.
This set of simulations involved placing particles randomly on a 500 × 500
lattice, each with a charge of +1.6e-19 Coulombs, or -1.6e-19 Coulombs. The net
charge of the system is zero. That is, the number of particles placed was
always even, and half were always positively charged, while the other half were
always negatively charged.
When clusters form, the net charge of the cluster is set equal to the sum of
the charges held by the atoms forming that cluster. For example, two atoms with
a positive charge of one would form a cluster with a positive charge of two. An
cluster with a positive charge of two merging with a cluster with a negative
charge of two would form a cluster of zero charge, that would then interact
with other particles only through a Lennard-Jones potential, and not a Coulomb
potential.
The following image shows a typical end configuration.
The following simulations were run to determine the relation between the average cluster size, the number of clusters, and the simulation time:
A sample plot of the average cluster
size vs. the simulation time is shown below.
A sample plot of the number of clusters vs. the simulation time is shown below.
Note that for our simulation, as the number of particles is conserved, the average cluster size and the total number of clusters are not independent variables. As such, our slopes (tabulated below) will have the same error bars, and will differ only by a sign. In the experimental case, these two variables are not independent, so we have compared our (dependent) results to their (independent) results for the sake of completeness.
The following data was observed:
Coverage |
Slope of log(avg cluster size) vs. log(sim time) |
Experimental Results |
21% |
1.98 +/- 0.02 |
Unknown |
19% |
1.76 +/- 0.01 |
|
11% |
1.50+/- 0.00 |
Coverage |
Slope of log(#clusters) vs. log(sim time) |
Experimental Results |
21% |
-1.98 +/- 0.02 |
Unknown |
19% |
-1.76 +/- 0.01 |
|
11% |
-1.50+/- 0.00 |
The following simulations were run to estimate the average fractal dimension for various coverage densities:
The following data was
observed:
For simulation #4 :
Average fractal dimension computed to be 1.522 +/- 0.227.
For simulation #5 :
Average fractal dimension computed to be 1.67 +/- 0.3.
For simulation #6 :
Average fractal dimension computed to be 1.632 +/- 0.187.
For simulation #7 :
Average fractal dimension computed to be 1.645 +/- 0.215.