Dendrite formation on Li metal anodes hinders commercialization of more energy-dense rechargeable batteries. Here, we use the migration energy barrier (MEB) for surface transport as a descriptor for dendrite nucleation and compare Li to Mg. Density functional theory calculations show that the MEB for the hexagonal close-packed structure is 40 and 270 meV lower than that of the body-centered cubic structure for Li and Mg, respectively. This is suggested as a reason why Mg surfaces are less prone to form dendrites than Li. We show that the close-packed facets exhibit lower MEBs because of smaller changes in atomic coordination during migration and thereby less surface distortion.
Dendrite formation on Li metal anodes hinders commercialization of more energy-dense rechargeable batteries. Here, we use the migration energy barrier (MEB) for surface transport as a descriptor for dendrite nucleation and compare Li to Mg. Density functional theory calculations show that the MEB for the hexagonal close-packed structure is 40 and 270 meV lower than that of the body-centered cubic structure for Li and Mg, respectively. This is suggested as a reason why Mg surfaces are less prone to form dendrites than Li. We show that the close-packed facets exhibit lower MEBs because of smaller changes in atomic coordination during migration and thereby less surface distortion.
Dendrite
formation on Li metal
surfaces occurs during repeated charge and discharge cycles with Li
anodes. The phenomenon leads to a substantial reduction in Coulombic
efficiency, poor cycling stability, and short-circuiting and prevents
commercialization of rechargeable Li metal batteries.[1] However, compared to the common graphite intercalation
anode, the Li metal anode promises a 10-fold increase in the capacity[2] and around 50% increase in the specific energy
density on the cell level.[3] Thus, extensive
effort has been put into preventing the dendrite growth over the past
decade,[1,3,4] resulting in
prevention strategies that include surface engineering (and nanostructuring),[5−8] electrolyte additives,[9−11] and solid electrolyte interface
(SEI) manipulation.[12] In a complex electrochemical
cell, it is difficult to separate different reaction and growth mechanisms
from one another. All the same, the aforementioned work has increased
the understanding of how the composition and morphology of the electrolyte
and the SEI affect the nucleation and growth of dendrites. In addition,
limiting the current density and overpotential is important to avoid
dendrite formation.[13−16] Neither the current density nor the chemical environment can fully
explain why Li is more susceptible to dendrite growth than other metal
anodes. In particular, Mgmetal anodes are less prone to form dendrites
compared to Li,[17] indicating that there
are differences inherent to the elements that are important for nucleation.[18,19] At room temperature, Li crystallizes in the body-centered cubic
(bcc) and Mg in the hexagonal close-packed (hcp) structure.[20,21] The (001) bcc and (0001) hcp facets are the most prominent and were
used by Jäckle and co-workers to examine the difference in
migration energy barrier (MEB) between Li and Mg. They found a barrier
of 140 and 20 meV, respectively, explaining the differences in the
dendrite formation.[22] The MEB was found
to be higher for the (111) surface of Li in the bcc structure, coinciding
with experimental results showing a more pronounced dendritic growth
along the ⟨111⟩ direction,[23] as well as a reduced tendency for dendrite formation as the mobility
of Li is increased.[18,24] Together with large-scale simulations
indicating the impact of MEBs on the growth of dendrites,[25] this suggests that the MEB can be used as a
descriptor for dendrite nucleation. While Jäckle and co-workers
investigated perfect surfaces, Huang et al.[26] investigated the effect of defects on the binding energy and energy
landscape of Li metal surfaces using density functional theory (DFT).
They found that defects increase the binding energies as well as the
MEBs and argue that this further enhances dendrite growth. However,
a detailed understanding of the influence of the crystal structure
on dendrite formation is still lacking.In this study, we explore
the effect of the crystal structure of
the surface on the MEB of both Li and Mgmetal using DFT. We find
that the structure of the surface has significant impact on the MEB.
Typically, the close-packed surfaces of the face-centered cubic (fcc)
and hcp crystal structures exhibit low MEBs, in contrast to the less
densely packed facets of the bcc structure. The MEB depends on a balance
between the coordination number of the migrating atom and displacements
of bulk and surface atoms during migration events. Lesser changes
in the coordination of the migrating atom results in lower MEBs. While
the displacements of the rest of the surface facilitate smaller coordination
changes, they also increase the MEB. In Mg, the changes in the electronic
structure of the surface atoms upon displacement are larger than in
Li, and the energy penalty of displacement is higher. Our calculations
show that Li in the close-packed fcc and hcp structures exhibits as
low MEB as Mg, implying that dendrite nucleation can be inhibited
if Li is stabilized in the hcp or fcc structure.We start by
comparing the DFT-calculated MEBs of Li and Mg in different
crystal structures. The MEBs of the minimum-energy path of Li and
Mg in both the bcc (001) and hcp (0001) structures are illustrated
in Figure . Notably,
the MEB of both Li and Mg decreases as the crystal structure changes
from bcc (001) to hcp (0001), as shown in Figure , indicating that the crystal structure influences
the MEB. This sheds light on the differences in surface migration
barriers between Li bcc and Mghcp surfaces, emphasizing the importance
of the crystal structure, and may help illuminate why Li is more prone
to dendrite nucleation than Mg.
Figure 1
Minimum energy path and the corresponding
migration energy barrier
for Li (left) and Mg (right) in the bcc (001) (upper) and hcp (0001)
(lower) structures. The figure shows only the three top layers of
the supercell.
Minimum energy path and the corresponding
migration energy barrier
for Li (left) and Mg (right) in the bcc (001) (upper) and hcp (0001)
(lower) structures. The figure shows only the three top layers of
the supercell.Our calculated MEB for Li on the
bcc (001) surface is 80 meV lower
than that reported by Jäckle et al. While this is in agreement
with the work of Gaissmaier et al. across step edges[27] (see the Supporting Information Figure S4), the resulting difference between the MEB of Li bcc (001)
and Mghcp (0001) is 30 meV. Thus, the migration on Li bcc (001) facets
will be around two times faster than on Mghcp (0001) at room temperature
(calculated by , where kBT = 25.7 meV), which may not be a sufficient difference
to explain the different dendritic behavior of Li and Mgmetal surfaces.
The causality between the MEB and the dendrite nucleation and growth
is not investigated in the presented work, and whether the MEB can
be used as a sole descriptor for dendrite nucleation and growth therefore
requires further investigation.We find an exchange mechanism
for the migration on the Li bcc (111)
surface, which lowers the MEB by 270 meV compared to the MEB found
by Jäckle et al. and results in a difference across the Li
bcc surfaces of 100 meV, as depicted in Figure . As the Li fcc and hcp facets exhibit low
MEBs, the total span across all Li structures is 140 meV while the
corresponding span for Mg is 720 meV. This indicates that the MEB
is influenced by factors apart from the crystal structure, which we
will discuss further below. Interestingly, the span of the MEB across
the facets is reflected in the span of the surface energies, shown
in Figure . The Li
facets vary with 0.11 J m–2, compared to
0.28 J m–2 for the Mg facets. This trend
where lower surface energy yields lower MEB is found for individual
crystal structures such as the Mg bcc facets, but we do not find a
one-to-one relation between the MEB and the surface energy. That is,
a low surface energy does not necessarily correspond to a low MEB
as seen in all of the Li surfaces and Mg fcc facets.
Figure 2
Migration energy barrier
of the minimum energy path (purple bars)
and the surface energy (red bars) of different surfaces of Li (upper)
and Mg (lower).
Migration energy barrier
of the minimum energy path (purple bars)
and the surface energy (red bars) of different surfaces of Li (upper)
and Mg (lower).We find a relation between the
atomic coordination of the surface
atoms and the MEB. In a simplified model, the MEB arises from the
difference in the bond energy as the migrating atom moves from its
(stable) starting position to the saddle point, and the bond energy
is proportional to the number of nearest neighbors. Hence, the MEB
increases with a larger change in the coordination. Unfortunately,
the nearest-neighbor coordination number is not a uniquely defined
value. Here, we have defined a weighted coordination, c, using a Fermi function:[28]where r is the distance between atom i and j, γ = 1.45rc, σ
= 0.2rc, and rc is the typical bond length in the bulk (for example, Li bcc has rc = 2.95 Å).In this model, where
change in coordination is the only parameter,
we expect it to scale linearly with the MEB. That is, increasing change
in coordination causes a corresponding increase in the MEB. This is
seen in Figure a (open
symbols), which depicts the MEB as a function of Δc for migration on surfaces where the atoms are fixed in place. Note
that the close-packed fcc and hcp structures exhibit low Δc, consistent with the low MEB on the hcp (0001) surface
in Figure . However,
the fixed surface is highly artificial, and we observe a large degree
of displacement of the surface atoms when these are free to move.
This is seen in Figure b, showing the difference in total displacement of the surface atoms
between the stable and saddle position, which is calculated using eq :where d is the displacement of atom i from its relaxed
position when no atom is adsorbed on the surface and N is the number of atoms in the simulation cell that are free to move.
In the fixed surfaces experiencing large Δc, the surface displacements caused by releasing the surface atoms
help the migrating atom to maintain its coordination at the saddle
position, and the Δc is decreased. Thus, the
linear correlation between the MEB and Δc disappears
as shown with filled markers in Figure a, but the MEB remains high because of the energy penalty
of the surface displacements. This is less pronounced in the close-packed
fcc and hcp structures compared to the less densely packed facets.
The balance between the Δc and Δd is illustrated for Mg bcc(001) and bcc(110). The two points
exhibit almost equal MEB, but opposing trends for Δc, that is, Δc < 0 for bcc(001) and Δc > 0 for bcc(110). Considering the Δd, however, the trend is turned: Δdbcc(001) > Δdbcc(110). Consequently,
the
MEBs become equal. In other words, the MEB results from a complex
interplay between Δc and Δd. Interestingly, the magnitude of the MEB on the fixed Mg surfaces
remains relatively constant as the surface atoms are unconstrained.
In contrast, the free Li facets experience a decrease in the MEB compared
to the fixed surfaces, indicating that the penalty of surface displacements
is higher for Mg than Li.
Figure 3
(a) MEB as a function of the Δc, the difference
between the coordination parameter, c, at the stable
state and the saddle point. The fixed surfaces (open) follow a linear
trend. The free surfaces (closed) have high MEB at high Δc. The points labeled Mg fcc(110) and Li bcc(001) and bcc(111)
do not follow this trend. (b) MEB as a function of the difference
in displacement between the stable and the saddle position, Δd, (as defined in eq ). The stable and saddle positions on the energy landscape
are depicted in the inset.
(a) MEB as a function of the Δc, the difference
between the coordination parameter, c, at the stable
state and the saddle point. The fixed surfaces (open) follow a linear
trend. The free surfaces (closed) have high MEB at high Δc. The points labeled Mg fcc(110) and Li bcc(001) and bcc(111)
do not follow this trend. (b) MEB as a function of the difference
in displacement between the stable and the saddle position, Δd, (as defined in eq ). The stable and saddle positions on the energy landscape
are depicted in the inset.An adaptive common neighbor analysis (CNA)[29] of the local structure of the top layers of the surfaces shows that
displacements of the atoms in a Li surface tend to result in a different
local crystal structure than that of the bulk (see Table S3). In contrast, the crystal structure of the Mg surfaces
are less sensitive to displacements and retain to a greater extent
the crystal structure of the bulk. While this is a qualitative difference
between Li and Mg, it is hard to quantify the effect the local crystal
structure change has on the MEB. It is possible that the change of
the local crystal structure is beneficial for lowering the MEB, but
if that is so, it is unclear why the same behavior is not seen for
Mg.One cause of the amplified penalty of surface displacements
may
be found in the electronic structure of the different surfaces.In all the Li structures, the valence band density of states (vDOS) of the stable and saddle point structures are very similar,
while Mg exhibits much larger differences, as shown in Figure . This phenomenon may arise
from the different contribution of the p-orbital to the metallic properties
of Li compared to Mg. In Li, the p-orbital does not contribute to
the electronic conduction as Li’s s-orbital is half-filled,
whereas in Mg, the metallic behavior arises from an overlap between
the s- and p-orbitals. Because the p-orbitals are more directional
than the s-orbitals, displacements of the surface atoms may change
the s–p-orbital overlap and increase the energy of the electrons.
Consequently, the energy penalty of surface displacements becomes
higher for Mg compared to Li.
Figure 4
MEB as a function of the difference in the integrated
density of
states (DOS) between the stable and the saddle position. The difference
between summation over the s- and p-bands (filled markers, “all”)
and only the (s-band) valence states (open markers, “vDOS”)
is depicted.
MEB as a function of the difference in the integrated
density of
states (DOS) between the stable and the saddle position. The difference
between summation over the s- and p-bands (filled markers, “all”)
and only the (s-band) valence states (open markers, “vDOS”)
is depicted.In summary, the MEBs of different
facets of the Li and Mg bcc,
fcc, and hcp structures were investigated using DFT. We show that
the MEB depends on the crystal structure through a complex interplay
between the coordination of the migrating atom, the displacement of
the surface atoms, and the reorganization of the electronic structure.
Notably, the MEB of Li in the close-packed structures (fcc (111) and
hcp (0001)) becomes similar to that of Mg in the hcp (0001) structure,
indicating that the close-packed hcp and fcc structures are less prone
to dendrite formation than bcc structures. Moreover, the present study
provides fundamental insights into migration on a metal surface and
indicates that low MEBs are obtained for elements and surfaces in
close-packed structures that facilitate migration without large changes
in coordination of the migrating atom and simultaneously attain the
original structure of the surface. Thus, both atomic and electronic
reorganization is avoided, resulting in a low MEB. However, the Li
facets exhibit MEBs comparable to the thermal energy, kBT, at room temperature, and may be insufficient
as the sole descriptor for dendrite nucleation. Additional insight
into the impact of the electric field gradient and electrolyte and
solid electrolyte interface chemistry may be necessary to describe
the dendrite nucleation satisfactorily.
Simulation Details
The MEBs were calculated using the DFT-code Vienna Ab initio Simulation Package (VASP)[30,31] together with the climbing
image Nudged Elastic Band (c-NEB) method.[32−35] The Li_sv and Mg projector augmented
wave (PAW)[36] pseudopotentials were expanded
to cutoff energies of 500 eV for Li and 350 eV for Mg, and the PBEsol
functional was used. The c-NEB calculations were carried out on simulation
cells exposing different bcc, fcc and hcp facets, with dimensions
exceeding 15 Å in all directions and an additional vacuum of
more than 15 Å in the z-direction. The four
upper layers of the c-NEB simulation cells were free, while the rest
were fixed in space to mimic the bulk (see Figure S1). All bulk and surface structures were relaxed to within
0.001 eV/Å. The max force on each of the c-NEB images was relaxed
to within 0.01 eV/Å. Further details on the simulations and the
convergence of the calculations is found in the Supporting Information.
Authors: Katherine J Harry; Daniel T Hallinan; Dilworth Y Parkinson; Alastair A MacDowell; Nitash P Balsara Journal: Nat Mater Date: 2013-11-24 Impact factor: 43.841
Authors: Yuzhang Li; Yanbin Li; Allen Pei; Kai Yan; Yongming Sun; Chun-Lan Wu; Lydia-Marie Joubert; Richard Chin; Ai Leen Koh; Yi Yu; John Perrino; Benjamin Butz; Steven Chu; Yi Cui Journal: Science Date: 2017-10-27 Impact factor: 47.728