Consider a simple two-variable system described by the Hamiltonian in Eq. (3) with a potential of the form
For this simple problem,
can be calculated analytically,
leading to a free energy profile in x given by
Simulations of this model system were carried out using
,
a=1,
,
2.878,
and
. With these
parameters, the free energy profile in x has two wells
located at
1.189 and
a barrier at x=0. In addition, the free energy barrier
is
10.
In order to ensure efficient barrier crossing, a temperature
was chosen for AFED simulations. With this choice of
, the convergence
of the free energy profile with
was tested by performing
simulations with
.
For these mass choices, simulations of
steps using a time
step 0.25
10
were performed.
Canonical sampling is obtained using the recently
introduced generalized Gaussian moment thermostat(GGMT)
algorithm [13]. In general, the thermostatting method can have an
influence on the efficiency of the two free energy methods.
A detailed comparison between the GGMT approach and the more
standard Nosé-Hoover chain algorithm will be given
elsewhere [15].
Figure 1 shows the trajectory of x as a function of
time for
and
corresponding to
an ordinary dynamics simulations compared to the AFED
parameters (
and
).
The figure shows that without the adiabaticity conditions, barrier crossing is a rare event as would be expected in an ordinary dynamics calculation. In contrast, the AFED dynamics case shows frequent barrier crossing and, hence, efficient sampling of the configuration space available to x. Figure 2 shows the trajectories of x(t) and y(t) over a relatively small number of MD steps.
It can be
seen from the figure that the evolution of y is very similar
to that of x, however, y exhibits, in addition, rapid fluctuations
about x, i.e., y possesses two widely disparate time scales.
Figure 3 shows the free energy profiles obtained from the
AFED simulations for the different choices of
together
with the analytical result.
The figure shows that
when
is too small, adiabaticity is not well maintained and the
free energy profile is not well reproduced. It can be seen that
for
the agreement between the AFED and
analytical results is very good. In Sec. 4, a general protocol
for determining the adiabaticity control parameters,
and
is discussed.