Skyrmion in a disk#

In this tutorial, we compute and relax a skyrmion in an interfacial-DMI material in a confined disk like geometry.

[1]:
import oommfc as oc
import discretisedfield as df
import micromagneticmodel as mm

We define mesh in cuboid through corner points p1 and p2, and discretisation cell size cell.

[2]:
region = df.Region(p1=(-50e-9, -50e-9, 0), p2=(50e-9, 50e-9, 10e-9))
mesh = df.Mesh(region=region, cell=(5e-9, 5e-9, 5e-9))

The mesh we defined is:

[3]:
mesh.mpl()
../../_images/examples_notebooks_13-tutorial-skyrmion_6_0.png

Now, we can define the system object by first setting up the Hamiltonian:

[4]:
system = mm.System(name='skyrmion')

system.energy = (mm.Exchange(A=1.6e-11)
               + mm.DMI(D=4e-3, crystalclass='Cnv_z')
               + mm.UniaxialAnisotropy(K=0.51e6, u=(0, 0, 1))
               + mm.Demag()
               + mm.Zeeman(H=(0, 0, 2e5)))

Disk geometry is set up by defining the saturation magnetisation (norm of the magnetisation field). For that, we define a function:

[5]:
Ms = 1.1e6

def Ms_fun(pos):
    """Function to set magnitude of magnetisation: zero outside cylindric shape,
    Ms inside cylinder.

    Cylinder radius is 50nm.

    """
    x, y, z = pos
    if (x**2 + y**2)**0.5 < 50e-9:
        return Ms
    else:
        return 0

And the second function we need is the function to define the initial magnetisation which is going to relax to skyrmion.

[6]:
def m_init(pos):
    """Function to set initial magnetisation direction:
    -z inside cylinder (r=10nm),
    +z outside cylinder.
    y-component to break symmetry.

    """
    x, y, z = pos
    if (x**2 + y**2)**0.5 < 10e-9:
        return (0, 0, -1)
    else:
        return (0, 0, 1)


# create system with above geometry and initial magnetisation
system.m = df.Field(mesh, nvdim=3, value=m_init, norm=Ms_fun, valid='norm')

The geometry is now cylindrical:

[7]:
system.m.norm.hv(kdims=['x', 'y'])
[7]:

and the initial magnetsation is:

[8]:
system.m.sel('z').mpl()
/home/mlang/miniconda3/envs/ubermagdev310/lib/python3.10/site-packages/matplotlib/quiver.py:645: RuntimeWarning: divide by zero encountered in scalar divide
  length = a * (widthu_per_lenu / (self.scale * self.width))
/home/mlang/miniconda3/envs/ubermagdev310/lib/python3.10/site-packages/matplotlib/quiver.py:645: RuntimeWarning: invalid value encountered in multiply
  length = a * (widthu_per_lenu / (self.scale * self.width))
../../_images/examples_notebooks_13-tutorial-skyrmion_16_1.png

Finally we can minimise the energy and plot the magnetisation.

[9]:
# minimize the energy
md = oc.MinDriver()
md.drive(system)

# Plot relaxed configuration: vectors in z-plane
system.m.sel('z').mpl()
Running OOMMF (ExeOOMMFRunner)[2023/10/23 16:07]... (0.5 s)
../../_images/examples_notebooks_13-tutorial-skyrmion_18_1.png
[10]:
# Plot z-component only:
system.m.z.sel('z').mpl()
../../_images/examples_notebooks_13-tutorial-skyrmion_19_0.png
[11]:
system.m.hv(kdims=['x', 'y'])
[11]:

Finally we can sample and plot the magnetisation along the line:

[12]:
system.m.z.line(p1=(-49e-9, 0, 0), p2=(49e-9, 0, 0), n=20).mpl()
../../_images/examples_notebooks_13-tutorial-skyrmion_22_0.png