observation of room-temperature magnetic skyrmions and ... · 1 supplementary information...
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Supplementary Information
Observation of room temperature magnetic skyrmions and their current-driven dynamics in ultrathin metallic
ferromagnets
Seonghoon Woo,1 Kai Litzius,2, 3 Benjamin Krüger,2 Mi-Young Im,4,5 Lucas Caretta,1 Kornel Richter,2 Maxwell Mann,1 Andrea Krone,2 Robert M. Reeve,2 Markus Weigand,6 Parnika Agrawal,1 Ivan Lemesh,1 Mohamad-Assaad Mawass,2,6 Peter Fischer,7,8 Mathias
Kläui,2,3* Geoffrey S. D. Beach1*
1Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA 2Institut für Physik, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany 3Graduate School of Excellence Materials Science in Mainz, Staudinger Weg 9, 55128 Mainz, Germany 4Center for X-ray Optics, Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA 5Daegu Gyeongbuk Institute of Science and Technology, Daegu 711-873, Korea 6Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany 7Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA 8Department of Physics, University of California, Santa Cruz, California 94056, USA S1. Effective medium model of multilayer stack.
The micromagnetic simulation of multilayer structures can be very demanding in
terms of computational resources since a large number of simulation cells in the thickness
direction must be used. For this reason we simulate the system as an effective medium
where the full film is treated as a single homogeneous magnetic layer, which is apt for
strongly magnetostatically coupled layers as used here. We derive here a list of scaling
laws that must be fulfilled by the effective medium in order to reproduce the static and
Observation of room-temperature magneticskyrmions and their current-driven dynamics in
ultrathin metallic ferromagnets
SUPPLEMENTARY INFORMATIONDOI: 10.1038/NMAT4593
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dynamic behaviors of a multilayer stack. We then show that the effective medium model
agrees quantitatively with full three-dimensional micromagnetic simulations that
explicitely compute the dipolar interlayer interactions in the multilayer stack.
S1.1 Scaling laws for effective medium model.
In the following a variable with a prime denotes a quantity in the effective medium.
Figure S1. Sketch of the layers in the experimental film and in the effective medium. The
experimental film consists of layers made of a ferromagnet (FM) and two heavy metals
(HM1 and HM2). The effective medium consists of an effective ferromagnetic material
only.
The experimental film can be described by two thicknesses: the thickness mt of one
magnetic layer and the rt of one repetition. That is, moving by a distance rt
perpendicularly to the film plane we find the same material as shown in Fig. S1. In the
effective medium the thickness of the magnetic layer mt is the same as rr tt = since
the film of the effective medium should be homogeneously magnetic.
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The magnetic moment of the film should be the same in the effective medium and the
experimentally used film. We find
.= msms tMtM (1)
The time evolution of the magnetization M
is given by the Landau-Lifshitz-Gilbert
(LLG) equation
,)(1)(1
= 22 HMMM
HMdt
Md
s
(2)
with the gyromagnetic ratio , the effective magnetic field H
, the Gilbert damping ,
and the saturation magnetization sM . We assume that ),,( iyxM
depends on the
position ),( yx parallel to the film and the repetition i only. With the normalized
magnetization sMMm /=
this equation reads
.)(1)(1
= 22 HmmHmdt
md
(3)
For the effective medium the LLG equation reads
.)(1)(1
= 22 HmmHmdt
md
(4)
The effective medium should show the same dynamics of the magnetization as the
experimental film. We therefore obtain mm = . By comparing equations (3) and (4) we
find HH
= .
The magnetic field is proportional to the functional derivative of the energy E of the
system. The field explicitly reads
,1=0 m
E
MH
s
(5)
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4
where 0 is the permeability of vacuum. For an energy density that depends only on
the magnetization and its first derivatives with respect to space the effective magnetic
field can be written as
.1=0 sM
z
mzy
myx
mxmH
(6)
From this we find
ss MM
=
(7)
Employing equation (1) one obtains
.== mmr ttt (8)
Thus, the energy density has to scale inversely with the thickness of the magnetic layer.
We now insert all types of energies present in the system into equation (8). For the
energy of the external field extH
we find
.'='= 000 mextsrextsmexts tHmMtHmMtHmM (9)
Thus the external field acting on the effective medium is the same as the experimental
field. From the energy density of the exchange energy
,=
=
222
222
222
z
m
y
m
x
mtA
z
m
y
m
x
mtA
z
m
y
m
x
mAt
r
r
m
(10)
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we find the same scaling for the exchange constant A . This constant scales as
rm tAtA /= . For the strength of the DMI we find
.== zzrzzrzzm mmmmtDmmmmtDmmmmDt
(11)
This yields the scaling rm tDtD /= for the strength D of the DMI.
The scaling of the dipolar interaction is the most complex one, due to its long range
character. However, we can show that, in the limit of small rt , the above scaling of the
saturation magnetization leads to the correct behavior of the dipolar energy. The energy
of the dipolar interaction can be written as
0M s2
8 dS1 dS2i=0
N
j=0
N
0
t m dz1 0
t m dz2
m(x1, y1, i)
m(x2, y2, j)
| r |33[r m(x1, y1, i)][
rm(x2, y2, j)]
| r |5
.
(12)
Here, we integrate over the plane S of the film and the position z within the current
magnetic film that is the distance between the position and the lower boundary of the
magnetic film. The sums are over all repetitions of the film layers, where the
magnetization ),,( iyxm depends on the positions x and y in the film plane.
Perpendicular to the film we assume that the magnetization depends on the number of the
repetition i only with no dependence on z . The distance r between the two positions is
given by
.)()()()(= 212121 zzryx ezzetjieyyexxr
(13)
In the limit of a thin magnetic layer the absolute value can be expressed as
.)()()(|| 22221
221 rtjiyyxxr
(14)
This approximation becomes imprecise for the interaction of two points that are closer
than roughly the thickness of the magnetic layer. However, at these short distances the
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6
interaction will be dominated by the exchange interaction and DMI, justifying our
approximation.
Using the abbreviations ),,(= 111 iyxmm and ),,(= 222 jyxmm
equation (12) reads
.
||))()()2()((
3||
||)))(((
3
||)))(((
3
||)))(((
3
||)(
3||
||))((
3
||)))(((
3
||))((
3
||)(
3||
8
5
22121
222,1,
32,1,
521212,1,
521212,1,
521212,1,
5
2212,1,
32,1,
521212,1,
521212,1,
521212,1,
5
2212,1,
32,1,
20100=0=
21
20
r
zzzztjitjimm
r
mmr
zztjiyymmr
zztjixxmmr
zztjiyymmr
yymm
r
mmr
yyxxmmr
zztjixxmmr
yyxxmmr
xxmm
r
mm
dzdzdSdSM
rrzzzz
ryz
rxz
rzy
yyyy
xy
rzx
yx
xxxx
mtmtN
j
N
i
s
(15)
There are terms of different order in 21 zz . Since this is the only dependence on 1z
and 2z we can easily calculate the integrals over 1z and 2z . For nzz )( 21 we get
.)(1)(=)(1)(=)( 212010121020212010
nnmtmtnnmtmtnmtmtzzdzdzzzdzdzzzdzdz (16)
From this we find
0.=)()1)((1 212010
nmtmtn zzdzdz (17)
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Thus all terms with odd powers of 21 zz vanish in equation (17). The only term that is
quadratic in 21 zz is small compared to the respective term that is constant in 21 zz .
Finally, the only terms that are left are terms that are constant in 21 zz . Equation
(15) can thus be written as
.||
)(3
||
||))((
3
||))((
3
||))((
3
||)(
3||
||))((
3
||))((
3
||))((
3
||)(
3||
8
5
222,1,
32,1,
5212,1,
5212,1,
5212,1,
5
2212,1,
32,1,
521212,1,
5212,1,
521212,1,
5
2212,1,
32,1,
0=0=21
220
r
tjimm
r
mmr
tjiyymmr
tjixxmmr
tjiyymmr
yymm
r
mmr
yyxxmmr
tjixxmmr
yyxxmmr
xxmm
r
mm
dSdStM
rzzzz
ryz
rxz
rzy
yyyy
xy
rzx
yx
xxxx
N
j
N
i
ms
(18)
In vector notation this becomes
,||
)],,()][,,([3
||),,(),,(
8 52211
32211
0=0=21
220
a
aa
a
N
j
N
i
ms
r
jyxmriyxmr
r
jyxmiyxmdSdS
tM
(19)
with the distance
.)()()(= 2121 zryxa etjieyyexxr
(20)
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8
This energy remains constant when changing from the experimental to the effective film
description. Thus, the energy density scales inversely with the thickness of the magnetic
layer, as required.
For small distances we assume the the system is exchange dominated and the
magnetization at both points is the same. The dipolar interaction of the z components
zm of the magnetization then reads
.||
)(3||8 5
221
2
3
2
201021
20
r
zzm
r
mdzdzdSdS
M zzmtmts
(21)
This can be written as
,)(
)3(
)(
18 5
221
2
221
32
212
201021
220
zzr
zz
zzrdzdzdSdS
mM
ii
mtmtzs
(22)
with the in plane distance 221
221 )()(= yyxxr i . Carrying out the integration over
2z one finds
.)(
)(8 3
21
2
13
21
2
11021
220
zr
z
tzr
tzdzdSdS
mM
imi
mmtzs
(23)
The integration over 1z yields
.114 22221
220
mii
zs
trrdSdS
mM
(24)
The remaining in-plane integrations can be written in center of mass and relative
coordinates. This reads
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,114 22
2
00
220
miiii
Rzs
trrdrdrdYdX
mM
(25)
with )/2(= 21 xxX and )/2(= 21 yyY . Here, we wrote the integration over the relative
coordinates in polar coordinates. This expression is valid if the distance to the edge of the
film is larger than R . It can be written as
,12 220
220
mi
ii
Rzs
tr
rdrS
mM (26)
where S is the area of the film. Carrying out the last integration one gets
.2
2222
0mm
zs ttRRSmM
(27)
For thin films we can use a series expansion in Rt m/ . This reads
.22
2220
R
ttS
mM mm
zs (28)
The second term scales like the above result for points with a large distance. Here, the
energy remains constant during the scaling. In contrast, the first term exhibits a different
scaling where the energy does not remain constant. However, this term can be included in
the uniaxial anisotropy as follows.
The anisotropy energy reads
.2mz StKm (29)
One can see that this energy has the same dependence on the magnetization as the first
term in equation (28). The sum of both terms can be written as
mzeff StmK 2 (30)
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where we defined an effective anisotropy
2
=2
0 seff
MKK
(31)
From equation (8) we find for the scaling of this effective anisotropy
rzeffrzeffmzeff tmKtmKtmK 2'22 '='= (32)
and thus rmeffeff ttKK /=' . The effective anisotropy constant effK must therefore be
scaled inversely with the thickness.
The spin Hall effect was modeled by a Slonczewski-like field that can be written in
the explicit LLG as
)()(1
= 20
SH
pmpmmadt
mdj
(33)
Here, is the damping parameter, Jz eep
= the normalized cross product of z- and
current-direction, 0 the gyromagnetic ratio and 02
=
deM
Ja
S
Hj
the spin Hall
parameter. This parameter again is composed of the spin Hall angle H , the electron
charge e, the current density J and the effective thickness of the material d .
The latter has to be chosen correctly to represent the scaling of our system. While J
should stay constant in all layers, H , d and SM have to represent the thickness of the
magnetic material. As the scaling of SM has already been derived above, d and H
have to be defined so that the total ja fulfills this criterion. Let repHH n =' the spin
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Hall angle times the number of repetitions, than we find rr
mm t
t
ttd ==
1
. So the final
equation reads
02
=
rS
Hrepj teM
Jna
(34)
From these calculations we can conclude that the effective medium exhibits the same
magnetization dynamics as the experimental multilayer if we have the following scaling
r
m
m
m
eff
eff
s
s
t
t
t
t
D
D
K
K
A
A
M
M=
'====
' (35)
while all other quantities remain the same.
S1.2 Micromagnetic simulations comparing effective medium model and full three-
dimensional model.
Here we compare the results of the effective medium model to those of a full
micromagnetic simulation that treats explicitely the dipolar interactions between the
individual layers. For the full three-dimensional multilayer simulation, we used
parameters representative of the experimental sample, with 15 Co layers (thickness
tm=0.9 nm), separated by nonmagnetic layers (thickness tnm=7.2 nm). The simulation cell
size was 4nm 4nm in the x-y plane, and 0.9 nm in the thickness direction. The value of
tnm in the simulation was slightly larger than the experimental value (7.0 nm) to allow for
an integral number of cells along the thickness direction. The material parameters for the
Co layer in the simulation are: Ms = 6105 A/m, A = 1.010-11 J/m, and Ku = 3.76105
J/m3, which corresponds to the measured hard-axis anisotropy field 0Hk = 0.5 T.
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Figures S2(a),(b) show the domain structure for a 400 nm diameter disk, after
relaxing from an initial state comprised of four parallel stripe domains. The simulations
used D = 1.5 mJ/m2; for D = 0, only the uniformly magnetized state is stable, indicating
that the dipolar interactions alone are insufficient to create a multidomain state.
The image in Fig. S2(a) corresponds to the middle Co layer in full 3D simulation.
The same domain structure is found in all 15 Co layers due to the strong magnetostatic
coupling between layers. Figure S2(b) shows the corresponding result for a 2D
micromagnetic simulation of the same multilayer, treated as a single uniform layer where
all material parameters have been scaled according to Eq. 35. The domain structures and
average domain widths are nearly identical for the two simulations.
Figure S2. Micromagnetically computed domain structure in a 400 nm diameter disk for
a 15-repeat magnetic multilayer using a full 3D simulation (a) and a 2D simulation under
the effective medium approximation (b). Grayscale image in (c) shows the difference in
the two images.
Figure S2(c) shows a grayscale image depicting the difference in the two simulated
domain images, showing that variations in the computed domain wall positions between
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the full 3D model and the 2D model are on the order of the domain wall thickness, and
much smaller than the experimental resolution.
We conclude that the effective medium model accurately captures all energy terms,
including magnetostatic (dipole) interaction energies in the multilayer structure, and
allows for accurate 2D micromagnetic simulations of the domain structures in multilayer
films without the need to explicitly model the individual layers.
S2. Determination of domain wall energy and DMI constant from domain width
data.
S2.1 Analytical treatment using uniform medium approximation
Figure 1C of the main text shows the field dependence of the widths d and d of up
(parallel to Bz) and down (antiparallel to Bz) domains in a continuous Pt/Co/Ta multilayer
film. We approximate the multilayer film as a single layer with uniform average
properties1,2, as justified in Section S1. In this case the domain wall (DW) surface energy
density DW can be determined from these data using well-known domain spacing
model3-5. For periodic stripe domains in a film of thickness t and saturation
magnetization Ms, the low-field domain period ddd is given by3-5
1
32
2
20
/2exp/2111nodds
DW dntdntnt
d
tM
. (36)
At high field the antiparallel domains approach a terminal width min,d given by5
2min,
2min,
2min,2
0
/1ln//1ln2 tdtdtd
tMs
DW
. (37)
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Taking d 480 nm and min,d 100 nm (estimated from MTXM images), Eqs. (36) and
(37) yield DW = 1.50.2 mJ/m2 and DW = 1.10.2 mJ/m2, respectively, normalized to
the nominal Co cross section. The value DW = 1.30.2 mJ/m2 reported in the main text
represents the mean of these two values.
As described in the main text, we estimate the DMI constant |D| using the relation
DAK effuDW ,4 , with A the exchange stiffness and effuK , the effective uniaxial
anisotropy constant. We find |D| 1.30.2 mJ/m2, assuming A = 110-11 J/m.
One can compare |D| to the critical value |cD | required to stabilize homochiral Néel
DWs6,
dc KD 4|| . (38)
Here, effuKA ,/ is the DW width and dK is the magnetostatic anisotropy energy
density of the DW, which prefers a Bloch configuration. dK can be written in terms of
the demagnetizing factor Nx along the DW normal, 2/20 sxd MNK . The calculated
DW width 8 nm is much smaller than the film thickness, so that the thick-film limit
applies7 and hence 1xN . Thus, /2|| 20 sc MD 0.2 mJ/m2, so that cDD and
homochiral Néel textures are expected.
We note that although the estimated value of |D| depends on the assumed value of
A, the conclusion cDD is very robust. If A is increased by a factor of ten one finds
cDD / increases from 8 to 9. Decreasing A by a factor of ten gives cDD / 4.
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S2.2 Comparison to full analytical model of multilayer including dipolar interlayer
coupling.
In the analysis of the previous section, we have treated the multilayer film as a
single uniform magnetic layer, with all energy terms, including the dipolar (magnetostatic)
energy, scaled by a factor rm tt / , as described in Section S.1. The calculations in Section
S.1 show that this effective medium model properly accounts for all energy terms, in
particular the dipolar interaction energy between individual magnetic layers, as long as
rt (the repeat thickness) is small.
Draaisma and de Jonge8 have analytically computed the domain structure and
hysteresis loop characteristics in multilayer films by explicitly including the dipolar
coupling energy between the discrete magnetic layers separated by nonmagnetic
interlayers. As shown by Draaisma and de Jonge8 the explicit multilayer solution for
domain spacing converges to the Koey and Enz3-5 solution for a single layer film (with
effective-medium scaled material parameters), except for the range 10/1 nmt ,
where tnm is the nonmagnetic spacer thickness, and 2// 20 sDW M is a critical
lengthscale. The value of DW obtained in the previous subsection using the effective
medium approximation gives 5.0/ nmt . Hence, our treatment of the multilayer film
as a single uniform magnetic layer with volume-averaged properties is analytically well-
justified, consistent with the numerical results in Section S.1.
S2.3 Micromagnetic calculations of domain spacing to determine DMI strength.
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The analytical results for the value of the DMI in the prior subsection were
confirmed using full micromagnetic simulations of the domain spacing as a function of
DMI. Here, the equilibrium stripe labyrinth spacing in a disk with a diameter of 2 µm
was simulated for |D| ranging from 0.5 mJ/m2 to 4.0 mJ/m2. From the results in Figure S3
it can be seen that the width of the observed stripe domains decreases with increasing
DMI. For a DMI strength |D| of 1.25-1.5 mJ/m2 we find a good agreement between the
simulated and the measured magnetization pattern. The |D| obtained by the
micromagnetic treatment agrees well with the result |D| 1.30.2 mJ/m2 obtained
through the analytical domain spacing models above.
Figure S3. Simulation of the labyrinth domain spacing in Pt/Co/Ta as a function of DMI.
(a) The determined spacing for different magnitudes of DMI constant |D| ranging from
0.5 to 4 mJ/m2. (b) The results of the micromagnetic simulations showing a varying stripe
domain width for different values of the DMI.
S3. Field-driven domain expansion measurements.
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In order to compare the pinning strengths in Pt/CoFeB/MgO and Pt/Co/Ta and to
verify the existence of DMI-stabilized Néel domain walls in these materials, magnetic
bubble domain expansion was studied using a wide-field polar magneto-optical Kerr
effect (MOKE) microscope. Here we examined both Pt(3nm)/Co(0.9nm)/Ta(4nm) and
Pt(4.5nm)/CoFeB(0.7nm)/MgO(2nm).
Figure S4 shows the domain wall velocity versus out-of-plane field Bz. for
Pt/Co/Ta and Pt/CoFeB/MgO films. The data follow the creep law
Tk
Evv
B
aexp0
with the activation energy scaling as 4/1 za BE , expected for thermally-activated
motion in a two-dimensional disorder potential9. The creep velocity in Pt/CoFeB/MgO is
significantly higher than in Pt/Co/Ta, confirming much weaker disorder in the former, as
expected due to the amorphous nature of the CoFeB layer.
Figure S4. Domain wall creep velocity versus out-of-plane field, showing creep scaling,
for Pt/CoFeB/MgO and Pt/Co/Ta single-layer films.
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Figure S5. Up-oriented (magnetized along +z) bubble domain expansion under out-of-
plane field Bz, for (a),(b) Pt/Co/Ta and (c),(d) Pt/CoFeB/MgO single-layer films. Panels
(a),(c) show circular domain expansion when no in-plane field is applied. Figures (b),(d)
show asymmetric domain expansion when Hx=-2000 Oe is applied, oriented to the left.
The arrow schematics in panels (a), (c) show the domain wall moment orientations
consistent with the observed asymmetry of the domain expansion under in-plane field
application. The circled dots indicate the domain magnetization direction and are
positioned at the domain nucleation point.
Figure S5 shows representative MOKE images of bubble domains nucleated and
expanded by an out-of-plane field Bz in the creep regime. It has been shown previously
that magnetic bubble domains bounded by DMI-induced Néel domain walls expand
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19
asymmetrically under in-plane field application10,11. This is due to the increased
(decreased) domain wall energy where the in-plane field is antiparallel (parallel) to the
domain wall magnetization, leading to slower (faster) creep velocity along the in-plane
field axis. As seen in Fig. S5, in the absence of an in-plane field, the domains expand
circularly in both Pt/Co/Ta and Pt/CoFeB/MgO, as expected. With an in-plane field Bx =
-200 mT applied, a clear asymmetry in the expansion is observed. The same asymmetry
is observed for both Pt/Co/Ta and Pt/CoFeB/MgO, indicating that in both cases the
domain walls are Néel with the same chirality. For the “up” domains shown, the
asymmetric expansion implies radially-inward pointing magnetic moments within the
domain wall, shown schematically in Figs. S5(a),(c), corresponding to left-handed Néel
domain walls, as expected from the Pt interface present in both sample stacks. This
chirality is the same as inferred from the direction of spin Hall current-driven motion of
skyrmions in the main text.
S4. Calculation of magnetic field profile from microcoil.
The current density in the microcoil was calculated by solving Poisson's equation
on a rectangular mesh using a finite differences approach, with a cell size 5 nm in the
lateral directions and 100 nm in the perpendicular direction. The geometry (Fig. S6 has
an inner radius of 1.5 µm, an outer radius of 2.5 µm, an opening angle of 140°, a
thickness of 100 nm, and the straight wire on the left and right side has a width of 1 µm.
The current density distribution is shown in Fig. S6 for a current of 0.06 A,
corresponding to the maximum magnitude of current in the coil at Vpp = 10 V
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20
Figure S6. Simulation of the microcoil. (a) current flow through the coil visualized by
the local current density. (b) out of plane field Bz generated by the current flow. The field
in the center of the coil is about +10 mT and the maximum field that was applied at a
position where part of the sample is located is about +60 mT. Simulations correspond
Vpp= 10 V.
The Oersted field generated by this current density is calculated by using the
MicroMagnum software and is shown in Fig. S6. For the calculation of the field, a cube
with a length of 15 µm, a width of 5 µm, and a height of 100 nm with the same mesh as
for the calculation of the current density was used. Current that flows outside this region
is neglected as its contribution to the Oersted field at the position of the sample is small.
S5. Skyrmion size versus applied magnetic field.
The skyrmion diameter in these materials is not fixed, but depends on out-of-
plane field12, as well as geometrical constraints and interactions (dipolar and topological)
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21
with neighboring skyrmions. In Fig. 3 of the main text, it is seen that several skyrmion
lattice periodicities can be generated in a geometrically-constrained disk, and that the
skyrmion size depends on the number of skyrmions in the disk. We performed
micromagnetic simulations to verify that several skyrmion lattice configurations are
metastable in a disk, using the experimental materials parameters for Pt/Co/Ta. Fig. S7
shows two relaxed states of a 2 m diameter disk containing the same periodicities as
observed in Fig. 3 of the main text. We find that both a 3x3 skyrmion lattice (Fig. S7 (a))
and a 4x4 skyrmion lattice (Fig. S7 (b)) constitute metastable states.
Figure S7. Micromagnetic simulations of metastable skyrmion lattice states in a disk and
corresponding experimental images. Panels (a), (b) show STXM images of skyrmion
lattices in a 2 m diameter Pt/Co/Ta disk, reproduced from main text Figs. 3(a) and 3(d).
Panels (c), (d) show simulations of metastable skyrmion lattices in a 2 m diameter
Pt/Co/Ta disk that reproduce the experimentally-observed periodicities.
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22
Due to repulsive interactions between skyrmions, the skyrmion size decreases when more
skyrmions are present in the disk, and the skyrmion size varies depending on the local
coordination, so that multiple sizes can be found in a given disk, as observed
experimentally (Fig. 3 of main text).
The skyrmion size also depends on applied out-of-plane field. Although the
skyrmions in the main text have diameters ~200-250 nm, this diameter can be
significantly reduced by an applied field oriented antiparallel to the core magnetization.
We measured the field-dependence of the skyrmion diameter for a skyrmion in a 2 m
diameter Pt/Co/Ta disk (Fig. S8(a)). Skyrmions were generated using bipolar field pulses
after initializing the disk into a stripe domain pattern, as described in the main text. The
out-of-plane field Bz was then incremented, antiparallel to the skyrmion magnetization,
and STXM images acquired at each field step. With increasing Bz, the skyrmions
decrease in size, and eventually annihilate. We find a range of annihilation fields, which
is consistent with a local variation of material parameters that also leads to the variation
in wall velocities and pinning that we observe experimentally and in the micromagnetic
simulations in Subsection S6.
We have determined the field-dependence of the skyrmion diameter for the
skyrmion with the largest annihilation field in Fig. S8(a). The diameter was determined
by fitting linescans of the XMCD signal across the STXM image, averaging 4 adjacent
linescans for improved signal to noise. The data were fitted to a Gaussian, and the full
width at half maximum (FWHM) was used to determine the skyrmion diameter after
deconvolution to account for the 90nm FWHM of the STXM beam profile.
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Figure S8 Field-dependence of skyrmion diameter. (a) STXM images of skyrmions in a
2 m diameter Pt/Co/Ta disk, for several values of out-of-plane field Bz antiparallel to the
skyrmion core magnetization. (b) Linescan of XMCD signal across the skyrmion outlined
in (a), with Gaussian fit. (c) Diameter of the skyrmion outlined in (a) versus Bz. Line is
guide to the eye.
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Figure S8(b) shows a representative linescan for the skyrmion indicated by the
dotted circle in Fig. S8(a), measured at a field of Bz = 7 mT. The skyrmion diameter is
plotted versus Bz in Fig. S8(c). It can be seen that the low-field skyrmion diameter of
~200-250 nm is decreased to <50nm at high fields. This diameter is comparable to the
skyrmion sizes computed micromagnetically for thin films in Ref. 12, as well as the
skyrmion size in bulk helimagnets such as FeCoSi13 with a skyrmion diameter of ~90 nm,
and depending on the materials properties smaller skyrmions can be achieved. We note
that the results are consistent with results from Ref. 14 where a similar dependence of the
skyrmion diameter on the field was found.
S6. Micromagnetic simulations of current-driven skyrmion dynamics.
S6.1: Skyrmion motion due to spin currents including acceleration and deceleration
In this section we present simulations of current-driven motion of magnetic
skyrmions in a track with special focus on the acceleration and deceleration period when
the current is switched on and switched off. As shown in figure S9, the skyrmions move
during these periods at a certain angle with respect to the longitudinal axis of the track.
This angle depends on the used material, the applied magnetic field and current density
and its absolute value is similar for acceleration and deceleration. The latter marks a
major difference between the dynamics of a classical magnetic vortex domain wall and a
skyrmion and can significantly increase the longitudinal distance a skyrmion travels due
to a current pulse. This does not allow for the experimental determination of the
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equilibrium velocity of a skyrmion on the track, since it is not possible to measure the
angle and duration of speed up or slow down period by static imaging as used here.
Comparing the distance a skyrmion travels in our simulations before reaching its
maximum velocity (about 100 nm) and the experimentally measured displacements for a
single pulse (about 50 nm - 200 nm; averaged), it is very likely that the latter does not
reflect the equilibrium velocities, resulting in a discrepancy of the absolute velocities as
discussed also further below.
The track was modelled using a 3000 x 300 nm2 grid made of an effective
medium (see section S1). In this track, a Neél skyrmion was placed and relaxed to its
ground state, stabilized by an out-of-plane bias field Bz = -20 mT. A current pulse was
applied (current density j = 41010 A/m2, pulse length 21 ns), leading to a Slonczewski-
like spin Hall torque that moves the skyrmion along the track. For opposite chiralities, the
skyrmions move in opposite directions showing that the DMI sign governs the motion
direction. The experimental observation that skyrmions are displaced along conventional
current flow direction (main text Figs. 4,5) corresponds to the case of left-handed
chirality (D<0).
The snapshots (Fig. S9) show that initially the skyrmion moves not only along the
current flow but also towards the edge, where the skyrmion is repelled due to its
topological nature from the DMI. After switching off the current, the relaxation process
moves the skyrmion back to the track center, however the skyrmion also continues to
move in the current flow direction during this process.
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Figure S9. (a) Simulated trajectory of a skymrion driven along a 300 nm wide magnetic
track by a current pulse flowing along the +x direction. Here, trajectories are shown for
Neél skyrmions with both chiralities (D > 0 and D < 0), which move in opposite
directions. As the skymrion approaches the edge of the track (+/- 150 nm), it is repelled
and follows along the edge. Solid symbols denote the period during which current is on,
and open symbols denote period after current is turned off. j denotes charge current.
Acceleration and deceleration periods result in straight trajectories towards the edge,
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27
respectively back towards the wire centre. (b), (c) The path of a skyrmion moving in a
track for the case D < 0, for (b) j>0 and (c) j<0. During acceleration, the skyrmion
travels to the edge of the track, then moves along the edge before relaxing back into the
middle of the track as soon as the current pulse ends. Note the decrease in skyrmion
diameter as it approaches the edge of the track (d) Plot of equilibrium velocity (while
moving along the edge of the track) as a function of current density.
S6.2: Influence of disorder-induced magnetic property variations
As observed in the experiment, we find non-constant velocities and therefore we
also examined the influence of variations of the magnetic properties on the dynamics of
the skyrmions in a magnetic track. While the exact micro-structure of the multilayer stack
and the resulting variations in the magnetic properties is not known, the most likely
parameters to vary are those that rely on the spin orbit interaction at the interfaces that
exhibit atomic scale variations. These were modelled by random spatial fluctuations of
the anisotropy and DMI constant with a cell size of 2 2 nm2, as well as by an
exponentially damped cos(x) cos(y) pattern of different length scales around the initial
position of the skyrmion. The exact function used was
∙ 1 exp cos 2 cos 2 (39)
Here, ∈ 0, 1 is the pinning strength, the coordinates of the starting position of the
skyrmions and the length scale of the pinning.
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Figure S10. Skyrmion velocity at a current density j = 31010 A/m2 in the presence of
disorder, plotted as a function of the amplitude of random variation of anisotropy
constant (K) and DMI parameter (D).
Figure S10 shows the average velocity as a function of disorder strength,
computed separately for the case of random variations in K and random variations in
DMI. Here the driving current density was fixed at j = 31010 A/m2. We found no
significant changes of dynamics due to a varying anisotropy (up to 100% variation),
which is in good agreement with other studies15. The simulations of a random variation in
DMI yield however a very strong impact on the dynamics. We use a random fluctuation,
equally applied to the DMI vector components Dx and Dy. Already a random fluctuation
of just 15% at a cell size of 2 nm influences notably the dynamics of a skyrmion moving
in the magnetic track due to the spin orbit torque. The skyrmion follows a path of lowest
energy, resulting in a random walk around the zero-defect trajectory, and we find that a
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skyrmion becomes completely pinned for fluctuations of >20%. Taking into
consideration the high sensitivity of the DMI to the interface structure in the multilayer
system of our samples, we expect a significant impact due to DMI variations, which can
thus explain finite critical current and lower velocities seen in our measurements as
compared to the expected velocity for simulations in a perfect sample. We note that these
simulations are performed at zero temperature; in the case that thermal fluctuations at
finite temperature are included, the pinning transition in Fig. S10 would correspond to a
transition from flow to thermally-activated creep motion, which explains the low
experimental velocities in the vicinity of the depinning transition.
S6.3: Current-induced annihilation of pinned skyrmions
In Figs. 4,5 of the main text, we note that pinned skyrmions can be annihilated by
current injection. In addition, as seen in the STXM images in Fig. 4, a mobile skyrmion
can coalesce with a pinned one, becoming pinned itself, when driven by current. We
have shown in the prior sections that short-lengthscale disorder plays an important role in
skyrmion dynamics. In this section, we present micromagnetic simulations that
demonstrate that strong pinning can also lead to the experimentally-observed annihilation
of skyrmions by current.
The simulations here were carried out by using material parameters appropriate
for Pt/Co/Ta, in a rectangular track with 3000x300 nm2 using a cell size of 2x2 nm2. The
skyrmions were stabilized by an out-f-plane field Bz = -20 mT (antiparallel to the
skyrmion core magnetization). Figure S11 shows series of snapshots of current-driven
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skyrmion motion in different scenarios, with the dc current density and time step between
frames indicated at the bottom of each image sequence.
Figures S11a,b examine the behaviour when a current-driven skyrmion
approaches a pinned skyrmion, in analogy to the experimental observation in Fig. 4 of the
main text. Here, the skyrmion was pinned by a single cell with fixed magnetization,
which assured that the skyrmion remained strongly fixed in position. At lower current
densities (Fig. S11(a)) a current-driven skyrmion moving in the vicinity of the pinned
skyrmion is repelled and passes around the pinned skyrmion. However, at higher current
densities, the driving force from the current can be large enough to overcome skyrmion-
skyrmion repulsion. In this case, the approaching skyrmion and the pinned skyrmion first
begin to shrink in size as they are driven closer together. The mobile skyrmion then
abruptly merges with the pinned skyrmion, after which only a single skyrmion remains,
pinned at the same site as was the original pinned skyrmion. This behavior reproduces
qualitatively the experimental behavior seen in Fig. 4(b) of the main text. We note that
similar results were also obtained analytically and numerically in Ref. 16.
We also examined current-induced annihilation of individual skyrmions, and find
that random disorder can facilitate such annihilation. In Fig. S11(c), a random variation
(30%) of the DMI constant, fluctuating on the scale of the cell size, was used in order to
simulate pinning as discussed in the previous subsection (see also Fig. S10). In the image
sequence in Fig. 11(c), an initialized skyrmion driven by current becomes pinned in a
region with locally lower DMI constant, which reduces its stability. The skyrmion then
decreases slightly in size, and eventually annihilates within a few ns. This behavior
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matches qualitatively the current-induced annihilation of pinned skyrmions observed in
Fig. 5 of the main text for pinned skyrmions in Pt/Co/Ta.
Figure S11 Annihilation of pinned skyrmions by current. (a) Snapshots of the behavior of
a current-driven skyrmion approaching a strongly-pinned skyrmion at relatively low
current density. (b) Same situation as in (a), but at a higher current density, where the
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propagating skyrmion merges with and becomes pinned at the same location as the
original pinned skyrmion. (c) Current-induced annihilation of a pinned skyrmion, in the
case of random fluctuations of the DMI constant on the length scale of the cell size. The
current density and time step between frames is indicated below each image sequence.
The arrows denote the direction of motion of the skyrmion, and the lengths of the arrows
are scaled approximately with the skyrmion velocity.
In conclusion, we find that short-lengthscale fluctuations in interfacial energy
terms, which would be expected in sputtered multilayer films with the atomically-
disordered interfaces, can lead to a reduction in current-driven skyrmion velocities,
pinning, and current-induced merging and annihilation, in qualitative agreement with
experiments.
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