Theory
In this blog post, we introduce magnetic recording by focusing on the dynamics of writing granular magnetic medium. We start with the Landau-Lifshitz-Gilbert (LLG) equation which is sufficient for describing the dynamics of a grain’s magnetic moment :
where is the gyromagnetic constant,
is the Gilbert damping constant and
is the ‘effective field‘ found by taking the derivative of the thermodynamic free energy,
, with respect to
(i.e.
). One part of the free energy is the Zeeman energy,
, where
is an externally applied magnetic field.
It is easy to show the time rate of change of the thermodynamic free energy to be
where is the volume of the magnetic grain and
was used.
This equation describes the only way that the free energy of a magnetic moment can change in time according to LLG. The first term on the rhs, , is simply free energy loss due to Gilbert damping, vanishing when
. The second term is what we are mostly concerned about. If
is less (greater) than zero then free energy is decreasing (increasing). That is, either the time variation of amplitude
and/or direction
can affect the free energy. The former tends to change the energy surface (e.g. creating one free energy minima) while the latter can change the free energy of the magnetic moment while not perturbing the energy surface itself (e.g.
).
Magnetic recording
For a magnetic grain used in magnetic recording, the free energy is
where is magnetostatic field,
is the magnetocrystalline anisotropy (MCA) with ‘easy axis’ along
and
is exchange energy. Correspondingly,
Typically inside a grain, is assumed uniform and
can be ignored (
). If the isolated grain is in a shape of an ellipsoid, then
is replaced by a modified MCA term:
where
is the depolarization (or demagnetization) factor along
ranging from
(a needle) to
(pancake) [see]. If not in isolation, other grains would contribute to
, as a summation of dipole fields in the case of ellipsoidal grains.
Regardless, the MCA term determines stable orientations which
must be able to switch between. Without loss of generality, we will write, or switch, a grain starting with
~
and going to
orientation, both being minima of the MCA energy.
Conventional write
In typical HDD write, the linear velocity (~20m/s), field rise time (~0.2ns peak-to-peak), write field gradient (~1kOe/nm) and grain size (~8nm) shows
~100kOe/ns. Even at this rate (Fig. 1 below), the magnetization is in quasi-equilibrium with
. Without loss of generality, let
be normal to the medium plane and align
along
then equilibrium
is given by the minimization of free energy,
where
. For
there is one energy minimum at
(i.e. successful switch),
has two energy minima separated by an energy maximum (incomplete switch), otherwise there can be one or two energy minima depending on the value of
(e.g.
has
for
– the Stoner-Wohlfarth limit).
Dynamic write
Let us consider the alternative (i.e.
). Once again, let
be normal to the medium plane, we can solve LLG directly for the dynamic
when we apply an AC in-plane field such that
, say
,
such that (that is, sign of
determines if free energy increases or decreases). We see
switches sign when
passes through ~
therefore the flow of free energy also switches sign.
The expression for gives the constraint
and an analytic time for
as
.
From expression for , one see the angular frequency of
goes as
. Then average microwave frequency would be
~
GHz/kOe
. For
~ 19.2kOe and we require ~0.1ns to switch then
600 Oe or ~4 cycles to switch. Larger
could achieve switching with fewer cycles.
Micromagnetic simulations
Detailed micro-magnetic simulations coincide with the analysis for both conventional and dynamic writing. Here we have 1024 identical extruded (10nm) square grains of volume 503nm packed in a periodic square lattice with
kOe,
,
emu/cc and
. We include the full magnetostatic field
interactions. However, in the cases below, since the grains, initial condition and applied field histories are identical so are all the spin dynamics. Then
, resulting in an effective
. Consider it a test of the underlying numerical routines (all 1024 grains should have identical trajectories even though the numerical procedure does not enforce this unique condition).
We first do conventional writing by where
is linearly increasing from zero to 10kOe (
9.6kOe) in 0.1ns:

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
As expected, all 1024 grains behave identically and are nearly in equilbrium with until switching. Damping will limit how quickly
can be reversed.
We next look at dynamic writing by where
the average of
over the 1024 grains at time t.

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
This is an interesting result, we can switch a grain with in less than 0.2ns. In fact, as long as
, the grain will switch, albeit with longer required time. Increasing
reduces the time to switch.
Finally, let us apply a conventional write field and then include an dynamic field to assist in writing. Here, .





In this case, even of 300 Oe can still switch the grain, albeit in ~0.4ns:





This latter case is similar to microwave assisted magnetic recording (MAMR). Here, instead of having a time varying it is a fixed frequency of about ~
GHz/kOe
and
large to reduce the number of required cycles.
While the simulation correctly follows the governing physics, we have not simulated an realizable physical device. While identical square prism grains are not realistic, they are not impossible.
No, we have made at least two mistakes. First, since the grains are identical including their initial orientations we have introduce a high degree of symmetry into the problem. In fact this is clearly shown in the results. Each simulation has 1024 grains, but only one phase space point appears. That is, all 1024 grains have identical trajectories. This happened due to our second mistake.
LLG includes damping. This damping is energy exchange between the magnetic system and the lattice it finds itself in. Since the magnetic grains are small, there are not insignificant thermal fluctuations in the magnetization orientation due to the lattice[1]. This effect needs to be included for realistic simulation of actual physical devices.
The result of thermal fluctuations is to introduce a variation of around the equilibrium orientation. In conventional recording this introduces a diffusive flux which allows some grains to switch even when
. In dynamic recording,
has a distribution in
and
causing either a mismatched phase or distribution of resonant angular frequency
, respectively. And, of course, it breaks the high symmetry of the results reported here.
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