From reaction of excess lithium with tin, we isolate well-crystallized Li5Sn and solve the crystal structure from single-crystal X-ray diffraction data. The orthorhombic structure (space group Cmcm) features the same coordination polyhedra around tin and lithium as previously predicted by electronic structure calculations for this composition, however differently arranged. An extensive ab initio analysis, including thermodynamic integration using Langevin dynamics in combination with a machine-learning potential (moment tensor potential), is conducted to understand the thermodynamic stability of this Cmcm Li5Sn structure observed in our experiments. Among the 108 Li5Sn structures systematically derived using the structure enumeration algorithm, including the experimental Cmcm structure and those obtained in previous ab initio studies, another new structure with the space group Immm is found to be energetically most stable at 0 K. This computationally discovered Immm structure is also found to be thermodynamically more stable than the Cmcm structure at finite temperatures, indicating that the Cmcm Li5Sn structure observed in our experiments is favored likely due to kinetic reasons rather than thermodynamics.
From reaction of excess lithium with tin, we isolate well-crystallized Li5Sn and solve the crystal structure from single-crystal X-ray diffraction data. The orthorhombic structure (space group Cmcm) features the same coordination polyhedra around tin and lithium as previously predicted by electronic structure calculations for this composition, however differently arranged. An extensive ab initio analysis, including thermodynamic integration using Langevin dynamics in combination with a machine-learning potential (moment tensor potential), is conducted to understand the thermodynamic stability of this Cmcm Li5Sn structure observed in our experiments. Among the 108 Li5Sn structures systematically derived using the structure enumeration algorithm, including the experimental Cmcm structure and those obtained in previous ab initio studies, another new structure with the space group Immm is found to be energetically most stable at 0 K. This computationally discovered Immm structure is also found to be thermodynamically more stable than the Cmcm structure at finite temperatures, indicating that the Cmcm Li5Sn structure observed in our experiments is favored likely due to kinetic reasons rather than thermodynamics.
Since
the beginning of the 21st century, lithium ion batteries
have conquered the market of portable electronic devices. However,
to meet the increasing requirements of electromobility, the commercial
graphite anodes with a maximum capacity of 372 mAh/g need to be replaced
by materials with an increased specific lithium uptake and thus enhanced
capacity.[1] Particularly the tetrels Si
and Sn offer an increased storage capacity via the formation of binary
intermetallic phases with Li. For Si a remarkable maximum capacity
of 1978 mAh/g upon formation of Li17Si4 can
be achieved. Sn delivers a similarly noteworthy capacity of 769 mAh/g
during formation of Li17Sn4, though smaller
than Si due to the larger relative volumes and masses. Both tetrels
Si and Sn are nontoxic, comparably inexpensive, and readily available.
Disadvantages are still the severe volume changes during cycling,
which result in capacity losses[2] and mechanical
challenges to the cell design, although some problems were minimized
during recent years.[3−5] Volume changes and the resulting disadvantages are
generally less pronounced in the Li–Sn system, which is in
the focus of the present study.First investigations concerning
the Li–Sn system date back
to the beginning of the last century, when the existence of the three
phases Li4Sn, Li3Sn2, and Li2Sn5 was postulated[6] (cf. Figure ). For Li4Sn the possibility of an even higher lithium content in this phase
was already noted, according to observations during crystallization.
Indeed, the composition of this phase was subsequently revised to
Li22Sn5 (Li4.4Sn) based on crystal
structure refinements,[7] though only temporarily,
as should become clear later. Baroni[8,9] apparently
also observed Li2Sn5, but gave the composition
as LiSn4. Shortly after, the presence of several intermetallic
compounds in the binary phase diagram was proposed, namely, Li4Sn, Li7Sn2, Li5Sn2, Li2Sn, α-LiSn, and LiSn2, highlighting
the complexity of the Li–Sn system. Li3Sn2 and LiSn4 were not observed during these studies.[10] In the 1970s Li7Sn2,[11] Li5Sn2,[12] and α-LiSn[13] were affirmed
by crystal structure determinations, while the compositions Li2Sn and LiSn2 were corrected to Li7Sn3[14] and Li2Sn5,[15] respectively. In the following a new
phase with a composition of Li13Sn5 was introduced,[16] and a second polymorph, β-LiSn, was obtained
from a Ga-containing melt.[17] Thermodynamic
studies aiming for the construction of an improved phase diagram indicated
one more compound denoted as Li8Sn3, but this
phase was not further characterized.[18]
Figure 1
(a) Chronology
of experimental reports of lithium stannides. Note
that only the bold compositions are backed by structure determination
and typically further investigations. For the other compositions no
crystal structure data are available, composition assignments have
been changed, or the presence of the phase has been completely refuted
over time. (b) Li mole fractions of the experimentally confirmed lithium
stannides.
(a) Chronology
of experimental reports of lithium stannides. Note
that only the bold compositions are backed by structure determination
and typically further investigations. For the other compositions no
crystal structure data are available, composition assignments have
been changed, or the presence of the phase has been completely refuted
over time. (b) Li mole fractions of the experimentally confirmed lithium
stannides.In the beginning of this century,
structure refinements based on
single-crystal X-ray and powder neutron diffraction demanded to once
again reconsider the composition of Li22Sn5 (Li4.4Sn). Specifically, the composition was refined to Li17Sn4 (Li4.25Sn),[19,20] which, to the best of our knowledge, is the Li-richest binary stannide
reported so far. This compound exhibits poor metallic behavior[20] and might be understood in a simple ionic picture
according to (Li+)17[Sn4–]4·e– based on band structure and electron
localization function calculations.[21] Difficulties
in determining the composition and inconsistencies in occupations
of crystallographic Li positions from different investigations might
be related to a significant homogeneity range of this phase spanning
from Li17Sn4 to Li17.42Sn4 (= “Li21.8Sn5”).[22]Figure a summarizes
the Li–Sn chronology, and Figure b emphasizes the Li concentration of the
verified phases. Phase diagrams including Li17Sn4, Li7Sn2, Li13Sn5, Li5Sn2, Li7Sn3, LiSn, Li2Sn5, and Li8Sn3 can be found
in the literature.[18,23] Moreover, all known stable phases
were recently studied with solid state NMR and Mössbauer spectroscopy
to produce reference data for battery operando studies.[24]Further metastable lithium-rich stannides
with compositions of
Li5Sn and Li7Sn were predicted based on ab initio calculations.[25,26] For Li5Sn, two crystal structures were derived, both closely related
in their local atomic surroundings, however, with differences in the
arrangement and interconnection of the resulting coordination polyhedra.In the present work, we describe the successful synthesis and structural
characterization of Li5Sn, which contains the already predicted
coordination polyhedra, but again differently arranged. The thermodynamic
stability of the obtained and various competing structures is investigated
based on ab initio density functional theory (DFT)
calculations, considering atomic vibrations, including anharmonicity,
as well as electronic excitations at finite temperatures.
Experimental Details
All manipulations
were carried out in an Ar-filled glovebox (MBraun,
Garching, Germany; p(O2) < 0.1 ppm,
moisture and oxygen constantly removed by copper catalyst and molecular
sieve), due to severe air and moisture sensitivity of lithium and
the title compound. Synthesis was successful from tin powder (99.9%,
Alfa Aesar) with an excess of lithium metal (rods, Merck) as flux
and reaction medium with an overall Sn to Li molar ratio of 1:10 in
a welded tantalum ampule (Aldrich). The tantalum ampule was heated
in an Ar-filled fused silica tube at 100 K/h to 1073 K and directly
allowed to cool to 673 K with a rate of 2 K/h, followed by natural
cooling to room temperature. After thermal treatment, the sample mostly
consists of Li17Sn4 and excess lithium. In order
to remove the excess lithium, the opened Ta-ampule was transferred
to an H-tube and washed several times with liquid ammonia until the
liquid ammonia only showed a faint blue coloration, indicating just
traces of elemental lithium being left in the sample (exposed to ammonia
for about 1 h). During this operation Li17Sn4 decomposes to a so far unknown badly crystallized, tin-richer product,
leaving crystals of Li5Sn behind, which also decompose
upon extended treatment of more than 1 day in liquid ammonia.Single-crystal X-ray diffraction measurements were taken with a
κ-CCD Bruker-Nonius single-crystal diffractometer (Mo Kα
radiation, λ = 0.710 73 Å) and analyzed with the
ShelX software package.[27] Further details
on the crystal structure investigation may be obtained from the Fachinformationszentrum
Karlsruhe, 76344 Eggenstein-Leopoldshafen, Germany (fax: (+49)7247-808-666;
e-mail: crysdata@fiz-karlsruhe.de), on quoting the
depository number CSD-2099217.Chemical analysis on O, N, and H was carried
out on a LECO ONH835
analyzer (LECO, St. Joseph, MI, USA), to confirm the composition.
Computational Methodology
Structure Enumeration
Previously,
new stable or metastable Li–Sn phases were explored by Mayo
and Morris[26] using random structure searching[31,32] and by Sen and Johari[25] based on evolutionary
crystal structure prediction,[33−35] both in combination with ab initio calculations. In these studies, Mayo and Morris[26] predicted hexagonal P6/mmm Li5Sn, while Sen and Johari[25] predicted monoclinic C2/m Li5Sn. In contrast, as detailed below in Section 4.1, the Li5Sn structure observed in the
present experiments obeys orthorhombic symmetry with the space group Cmcm. However, all three structures mentioned above consist
of arrangements of Sn-centered capped hexagonal prisms surrounded
by Li atoms as shown in Figure a. The difference among the structures lies only in the arrangement
of the Sn coordination polyhedra perpendicular to the cap direction.
Specifically, P6/mmm Li5Sn consists exclusively of face-sharing Sn coordination polyhedra
(Figure b). The Sn
coordination polyhedra in C2/m and Cmcm Li5Sn, in contrast, are both face- and edge-sharing
(Figure c) but arranged
in different ways. For the cap direction, every unit polyhedron shares
the cap Li atoms with other polyhedra. As a consequence, all three
Li5Sn structures can be schematically understood in a two-dimensional
configuration space as different arrangements of hexagons with two
colors (Figure ).
Figure 2
(a) Sn-centered
bicapped hexagonal prism composed of 14 Li atoms.
The cap direction is shown by the gray arrow. Gray spheres represent
Sn atoms, and dark green and light green spheres represent Li atoms
at the cap and the prism positions, respectively. (b) Two face-sharing
Sn coordination polyhedra. (c) Two edge-sharing Sn coordination polyhedra.
The polyhedra in the different colors are on different levels with
respect to the cap direction (cf. Figure ). Visualization was performed using VESTA.[28]
Figure 3
Two-dimensional schematics
for some of the 108 arrangements of
the Sn coordination polyhedra investigated in the present ab initio simulations. Each hexagon represents one Sn coordination
polyhedron, a bicapped hexagonal prism consisting of 14 Li atoms.
Hexagons of the same color (either blue or orange) indicate prisms
lying on the same level and thus sharing their faces as shown in Figure b. Orange hexagons
are shifted with respect to the blue ones along the direction perpendicular
to the paper surface (i.e., along the cap direction) by half of the
prism height. Thus, neighboring blue and orange hexagons represent
edges sharing prisms as shown in Figure c. The parallelogram for each structure shows
the projected unit cell standardized by the two-dimensional Delaunay
reduction.[29,30]
(a) Sn-centered
bicapped hexagonal prism composed of 14 Li atoms.
The cap direction is shown by the gray arrow. Gray spheres represent
Sn atoms, and dark green and light green spheres represent Li atoms
at the cap and the prism positions, respectively. (b) Two face-sharing
Sn coordination polyhedra. (c) Two edge-sharing Sn coordination polyhedra.
The polyhedra in the different colors are on different levels with
respect to the cap direction (cf. Figure ). Visualization was performed using VESTA.[28]Two-dimensional schematics
for some of the 108 arrangements of
the Sn coordination polyhedra investigated in the present ab initio simulations. Each hexagon represents one Sn coordination
polyhedron, a bicapped hexagonal prism consisting of 14 Li atoms.
Hexagons of the same color (either blue or orange) indicate prisms
lying on the same level and thus sharing their faces as shown in Figure b. Orange hexagons
are shifted with respect to the blue ones along the direction perpendicular
to the paper surface (i.e., along the cap direction) by half of the
prism height. Thus, neighboring blue and orange hexagons represent
edges sharing prisms as shown in Figure c. The parallelogram for each structure shows
the projected unit cell standardized by the two-dimensional Delaunay
reduction.[29,30]To investigate the thermodynamic stability of Li5Sn
in detail, we conducted ab initio simulations. Since
various candidate crystal structures were already examined in the
previous works of Mayo and Morris[26] and
of Sen and Johari,[25] in the present study
we intensively focused on the Li5Sn structures consisting
of the Sn coordination polyhedra described above. We however considered
not only the above-mentioned three Li5Sn structures but
actually in total 108 arrangements of the Sn coordination polyhedra
determined using the structure enumeration algorithm.[36,37] We considered up to eight hexagons in the unit cell in the two-dimensional
configuration space. We mostly utilized the implementation in ICET
(ver. 1.3),[38] but a few remarks are in
order:In the two-dimensional representation
visualized in Figure , arrangements need to be omitted if they are equivalent to another
arrangement via a color symmetry operation, i.e., by flipping the
two colors. A corresponding symmetrization procedure was implemented
by ourselves.The cell
shapes created according to
point 1 are not immediately in the standardized representation. The
latter is however beneficial to improve numerical stability of the
DFT simulations. After enumeration, we therefore further conducted
a two-dimensional Delaunay reduction.[29,30] Since the
standardization implemented in ICET ver. 1.3 (Niggli reduction[30,39]) applies only to three-dimensional cases, we implemented a two-dimensional
Delaunay reduction by ourselves.In Figure some
of the thus obtained arrangements of Sn coordination polyhedra are
described. They include the arrangements previously predicted by Mayo
and Morris[26] (#0) and by Sen and Jonari[25] (#83). The arrangement found in the present
experiments is #7 (cf. Section 4.1), while
the arrangement showing the lowest energy at 0 K in the ab
initio simulations is #23 (cf. Section
4.4). Structures #1 and #41 show the highest and the second
lowest energies, respectively, at 0 K in the ab initio simulations.Note that for some of the 108 structures, we
could in principle
make smaller primitive cells by choosing a lattice basis that mixes
the axial and the basal directions. However, as we have to determine
very small energy differences (cf. Section 4.4), we prefer to keep computational consistency among all investigated
structures as much as possible. Therefore, for all the 108 structures,
we set one of the lattice vectors along the cap direction and chose
the other two lattice vectors perpendicular to this cap-direction
lattice vector. We further applied the same number of k points along the cap direction for all 108 structures.
Electronic Structure Calculations for the
108 Li5Sn Structures
For all 108 Li5Sn structures created systematically by structure enumeration (Section 3.1),[36,37] we conducted
structure optimization. We employed the projector augmented wave (PAW)
method[40] as implemented in VASP[41,42] in combination with the provided potentials.[43] The reciprocal space was sampled by the Methfessel–Paxton
scheme[44] with a smearing width of 0.2 eV.To make sure that our results are robust and insensitive with respect
to the computational conditions, we tested five different computational
settings summarized in Table . Specifically, we tested two cutoff energies (200 and 500
eV), two k-space mesh densities, and two sets of
PAW potentials with different valence states. Further, in addition
to the generalized gradient approximation (GGA) in the Perdew–Burke–Ernzerhof
(PBE) form,[45] we also employed the local
density approximation (LDA),[46,47] the GGA in the Perdew–Wang
form (PW91),[48] and the strongly constrained
and appropriately normed (SCAN) meta-GGA.[49,50] As detailed in Section 4.5, our conclusions
are robust against these computational settings. Thus, we utilized
setting A from Table for further analysis of the 108 Li5Sn structures.
Table 1
Ab Initio Computational
Conditions Investigated in the Present Studya
valence
XC
cutoff (eV)
k space
Li
Sn
A
PBE
200
≥16 128
2s
5s5p
B
PBE
500
≥16 128
2s
5s5p
C
PBE
200
≥21 600
2s
5s5p
D
PBE
500
≥16 128
1s2s
4d5s5p
E
LDA
200
≥16 128
2s
5s5p
F
PW91
200
≥16 128
2s
5s5p
G
SCAN
200
≥16 128
2s
5s5p
The columns “XC”,
“cutoff”, “k space”,
and “valence” refer to the exchange–correlation
functional, the energy cutoff for the plane waves, the number of points
per reciprocal atom sampled in the reciprocal space, and the orbitals
treated as valence for each element, respectively. We also tested
the energy cutoff of 700 eV (used by Sen and Johari[25]) and found negligible differences from 500 eV.
The columns “XC”,
“cutoff”, “k space”,
and “valence” refer to the exchange–correlation
functional, the energy cutoff for the plane waves, the number of points
per reciprocal atom sampled in the reciprocal space, and the orbitals
treated as valence for each element, respectively. We also tested
the energy cutoff of 700 eV (used by Sen and Johari[25]) and found negligible differences from 500 eV.Total energies were converged to
within 1 × 10–5 eV per unit cell. Full structure
relaxation was performed by optimizing
cell volume, cell shape, and internal atomic positions so that the
forces on atoms and the stress components on the unit cell are less
than 1.5 × 10–3 eV/Å and 1 × 10–2 eV/Å3, respectively.To compare
the phase stability of the 108 Li5Sn structures
with respect to the two-phase state of the known equilibrium phases,
i.e., body-centered cubic (bcc) Li and F4̅3m Li17Sn4,[19,20] we also simulated these latter two phases with optimizing their
structures. The same computational conditions (setting A from Table ) and the same convergence
criteria as above were applied. The energy difference of Li5Sn referenced to the two-phase state was computed aswhere E(α) denotes
the energy of phase α per atom.To get insight on the
dependence of the phase stability of Li5Sn on pressure
and thermal expansion, we computed the energy–volume
curves for the structures #0, #7, #23, and #83 at 13 fixed volumes
within a range of 16–22 Å3/atom. At each volume,
both the cell shape and the internal atomic positions were optimized.
For the stress components, both the diagonal terms (minus their mean
values) and the off-diagonal terms were optimized to be less than
5 × 10–5 eV/Å3. The structure
optimization was repeated several times to be consistent with the
given energy cutoff.
Cluster Expansion of the
Sn Polyhedra Arrangement
To analyze the impact of the arrangement
of the Sn coordination
polyhedra on the energies of the 108 Li5Sn structures,
the cluster expansion (CE) method[51−53] was employed. While
the CE method is typically applied to describe atomic configurations on a given 3D crystal lattice, in the present study
we regard the Sn coordination polyhedra as the fundamental objects
of the CE, which live on a 2D lattice. The two irreducible Sn coordination
polyhedra along the Li cap direction that arise for the edge-sharing
situation (Figure c) are mapped onto two types of elements (blue and orange) in the
CE. They can be thought of as two distinct types of atomic species
in a usual CE. These two elements can be arranged in different configurations
via the CE on a two-dimensional triangular lattice. Note that due
to symmetry, only the clusters involving even numbers of Sn coordination
polyhedra like doublet and quartet clusters contribute to the energies,
and there are no contributions of clusters with odd numbers of polyhedra
like singlet and triplet clusters; in the schematics in Figure , this means that the color
switching of all the polygons does not affect the
energies. Note also that, unlike in typical CE applications, in the
present study we consider a fixed atomic composition of Li5Sn, with differences only in the arrangement of the Sn coordination
polyhedra. The energy range for the effective cluster interactions
(ECIs) and for the fitting error is therefore much smaller than in
typical CE applications.The ICET code[38] was utilized for the CE analysis. The ECIs for clusters with odd
numbers of Sn coordination polyhedra were restricted to be zero. The
ECIs were determined based on the least absolute shrinkage and selection
operator (LASSO) regression.[54]
Gibbs Energies for Structures #7 and #23
The thermodynamic
stability of Li5Sn at finite temperatures
was investigated for the two most relevant structures (Sn coordination
polyhedra arrangements), i.e., the experimentally observed one (#7)
and the energetically lowest one as determined from theory (#23).To this end, we employed the thermodynamic integration using Langevin
dynamics (TILD)[55,56] method, i.e., the combined application
of thermodynamic integration,[57−59] free energy perturbation (FEP)
theory,[57,60] and the Langevin thermostat.[61] Approaches based on the TILD concept can predict
various material properties such as defect formation energies[55,62−64] and melting points[65,66] both accurately
and efficiently.We decomposed the Helmholtz energy F(V, T) at temperature T and at volume V for a given structure
aswhere EDFT is
the conventional 0 K total energy of the system obtained by DFT calculations
and Fvib,el the contribution of lattice
vibrations and electronic excitations, including their adiabatic coupling.
The contribution Fvib,el was obtained
based on ab initio molecular dynamics (MD) in the
finite-temperature DFT extension by Mermin,[67] where the Fermi–Dirac distribution at the corresponding temperature
was applied to include the impact of electronic excitations. Note
that the impact of the coupling between lattice vibrations and electronic
excitations can be tens of meV/atom,[68] and
its inclusion is therefore important for a high-accuracy prediction
of the Helmholtz energy.We computed Fvib,el(V, T) asThe first term in eq is the contribution of lattice vibrations to the Helmholtz
energy,
analytically computed based on an effective harmonic (eh) potential[69,70] (Appendix B.2 in the Supporting Information) obtained from ab initio MD results (Appendix B.1
in the Supporting Information). Using such
a potential can provide a better approximation of the Helmholtz energy
than the harmonic potential at 0 K[71] and
therefore serve as a computationally better reference for the following
thermodynamic integration.The second term (eh → MTP)
in eq amounts to the
difference between the Helmholtz
energies of the system governed by the effective harmonic potential
and that by a moment tensor potential (MTP),[72−75] and it is computed by thermodynamic
integration. The MTP is a type of machine-learning interatomic potential
that can predict accurate energies and atomic forces even for complex
multicomponent systems[71,74,76] or systems with magnetic degrees of freedom.[77] In this work, the MTP was obtained by fitting to ab initio MD data (Appendix B.3 in the Supporting Information). Note that the accuracy of the MTP
can be further systematically improved by using active learning techniques.[73−75,77−79]The third
term (MTP → DFT) in eq is the difference between the Helmholtz energies
of the system governed by the MTP and that by DFT and is computed
by the first-order approximation of the FEP theory.[60] “Direct upsampling” was performed from MTP
runs at each (V, T), wherein 10
random configurations were chosen and self-consistent DFT calculations
were carried out to obtain the Helmholtz energy difference. The DFT
Helmholtz energy was obtained based on the Fermi–Dirac distribution
with the true electronic temperature in the formalism of Mermin;[67] that is, the contribution of electronic excitation
to the Helmholtz energy was also considered here. The exchange–correlation
functional, the plane-wave cutoff energy, the mesh for the reciprocal-space
sampling, and the orbitals treated as valence states were the same
as those chosen for the 0 K structure optimization (condition A in Table ).Each of the
three terms in eq was
computed for seven volumes between 16 and 19 Å3/atom
and 12 temperatures from 50 K up to 600 K. The highest
temperature of 600 K was set because, above 600 K, the MTP predicted
a phase change at higher temperatures in structures #7 and #23 (Appendix
E in the Supporting Information). These
were then fitted to polynomials with the terms of T, TV, T2, TV2, and T2V. The three terms in eq were then summed up to provide the entire Helmholtz energy surface F(V, T) for a dense grid
of temperatures and volumes. Then, the Gibbs energy G(p, T), where p is the pressure, was computed via a Legendre transformation, which
is shown in Section 4.8.
Results and Discussion
Experimental Section
Li5Sn was obtained as described in Section in the form of gray crystals
with no recognizable
shape and sizes of around 0.3 mm. The excess lithium together with
tin probably provides a melt functioning as self-flux for enhanced
crystal growth of the Li-rich compounds.[80] Li5Sn forms as a byproduct of Li17Sn4. During treatment with liquid ammonia Li17Sn4 is apparently decomposed in a reaction with ammonia to a badly crystallized
Li-poor product, indicating the redox activity of ammonia. This was
earlier observed in similar reactions of intermetallic phases, for
example, the oxidation of silicide or germanide Zintl ions to new
tetrel element modifications[81−83] or to framework clathrate structures
by protic reactants as organic ammonium ions, HCl, or water,[84] to name only few. The Li5Sn crystals
are more kinetically stable against attack of ammonia and thus can
be isolated after brief exposure. However, upon extended contact to
liquid ammonia, these crystals also degrade. The crystal structure
contains mutually isolated tin atoms entirely surrounded by lithium
atoms, putting forward an interpretation of Sn4– in a metallic Li matrix, in other words (Li+)5[Sn4–]·e–, as similarly
discussed for Li17Sn4.[21] The results of the crystal structure refinements leave little room
for unnoticed deviations from the derived composition. In order to
exclude the presence of unintended contamination by hydrogen or small
amounts of oxygen or nitrogen, a chemical analysis on these elements
by the hot gas extraction technique was carried out, resulting in
only negligible concentrations calculated to an overall composition
of Li5SnN0.0005O0.13H0.06. The small oxygen contamination is typical for a highly air- and
moisture-sensitive compound and likely to originate in a brief air
contact during transfer of the only mechanically closed tin capsules
from the glovebox to the analyzer.Table shows the lattice parameters and the fractional
atomic coordinates of Li5Sn obtained from experiments.
Details of the structure refinement are found in Table . Li5Sn crystallizes
in the orthorhombic space group Cmcm with only one
crystallographic site for Sn and two for Li. Sn and Li(1) with equal
multiplicity (Wyckoff site 4c) are situated in hexagonal
prisms of Li(2) with four times larger multiplicity (site 16h). These hexagonal prisms around Sn are capped by two Li(1)
and vice versa to yield 14-fold coordinations. The
11-fold coordination of Li(2) atoms resembles an Edshammar polyhedron,
which occurs rather frequently in intermetallic compounds.[85,86] All three occurring coordination polyhedra are depicted in Figure . These are markedly
different from those occurring in Li17Sn4, which,
as most previously characterized binary Li-rich stannides, can be
structurally related to an ordered body-centered cubic packing of
Li and Sn, distorted by the different spatial requirements of both
metals.[16]Tables and 5 show the interatomic
distances and angles, respectively, of Li5Sn obtained from
experiments. The Sn–Li distances of 2.8609(16) Å for Li(1)
and 2.972(5)–3.172(5) Å for Li(2) are in the expected
range as compared to those obtained for Li17Sn4 with similar high coordination numbers and probably the same electronic
situation.[19] The shortest distance Sn–Li(1)
is located in voids of a hexagonal channel of Li(2). In order to maximize
this distance, both Sn and Li(1) are slightly displaced from the center
of the coordination polyhedron parallel to [010] in opposite directions,
resulting in the Li(1)–Sn–Li(1) angle of 163.7(4)°
as depicted in Figure .
Table 2
Lattice Parameters and Fractional
Atomic Coordinates of Li5Sn in Cmcm (#7)
from Experimental Structure Determination at Room Temperature in Comparison
with Those Obtained from Ab Initio Calculationsa
experimental
ab
initio
compound
Li5Sn
crystal system
orthorhombic
space group
Cmcm (no. 63)
number of formula units Z
4
a (Å)
5.6638(4)
5.701
b (Å)
9.3417(8)
9.108
c (Å)
8.0477(6)
8.206
volume V (Å3)
425.80(6)
426.06
density ρcalc (g cm–3)
2.393
2.392
Li(1) 4c
x
0
0
y
0.3984(12)
0.384 96
z
1/4
1/4
Li(2) 16h
x
0.2492(8)
0.241 70
y
0.1193(5)
0.125 40
z
0.0756(7)
0.082 41
Sn 4c
x
1/2
1/2
y
0.35493(3)
0.368 24
z
1/4
1/4
Details of the structure refinement
are found in Table .
Table 3
Selected
Parameters in Experimental
Structure Determination of Li5Sn in Cmcm (#7) in Experiments
temperature T (K)
293
diffractometer
κ-CCD Bruker-Nonius
wavelength λ (Å)
0.710 73
monochromator
graphite
2θmax (deg)
54.90
absorption coefficient μ
(mm–1)
5.750
h, k, l
–7 ≤ h ≤ 5
–12 ≤ k ≤ 12
–10 ≤ l ≤
10
measured
reflections
3979
unique reflections
291
Rint, Rσ
0.0476, 0.0177
refined parameters
19
goodness-of-fit on F2 (GoF)
1.181
R1, wR2
0.0154, 0.0384
extinction parameter
0.0030(8)
F(000)
260
largest peak, deepest hole in e– difference map (Å–3)
0.84, −0.36
Figure 4
Coordination polyhedra around (a) Sn, (b) Li(1),
and (c) Li(2)
occurring in the experimentally observed Li5Sn structure
with the space group Cmcm (#7 in Figure ). Gray, dark green, and light
green spheres represent Sn, Li(1), and Li(2), respectively. Note that
the alternative notations Li(cap) and Li(prism) are from the viewpoint
of the Sn coordination polyhedra and are used for the ab initio analysis in Section 4.7.
Table 4
Interatomic Distances of Li5Sn in Cmcm (#7)a
distance
(Å)
quantity
experimental
ab
initio
Sn–Li(1)
2
2.8609(16)
2.854
Sn–Li(2)
4
2.972(5)
2.992
4
2.986(5)
3.056
4
3.172(5)
3.046
Li(1)–Li(2)
4
2.871(9)
2.976
4
2.986(5)
3.101
4
3.280(10)
3.062
Li(2)–Li(2)
1
2.539(9)
2.655
1
2.729(9)
2.644
1
2.806(11)
2.750
1
2.822(10)
2.756
1
2.841(10)
2.945
Quantities are
evaluated with
focusing on the first atom.
Table 5
Interatomic Angles of Li5Sn in Cmcm (#7)a
angle
(deg)
quantity
experimental
ab
initio
Sn–Li(1)–Sn
1
163.7(4)
173.9
Li(1)–Sn–Li(1)
1
163.7(4)
173.9
Li(1)–Sn–Li(2)
2
56.6(2)
60.5
2
61.36(10)
63.2
2
68.4(2)
63.1
2
109.3(2)
114.3
2
117.15(10)
116.7
2
125.3(2)
122.1
Quantities are
evaluated with
focusing on the pair of first and second atoms. The angles of Sn–Li(1)–Sn
and Li(1)–Sn–Li(1) are symmetrically equivalent.
Details of the structure refinement
are found in Table .Quantities are
evaluated with
focusing on the first atom.Quantities are
evaluated with
focusing on the pair of first and second atoms. The angles of Sn–Li(1)–Sn
and Li(1)–Sn–Li(1) are symmetrically equivalent.Coordination polyhedra around (a) Sn, (b) Li(1),
and (c) Li(2)
occurring in the experimentally observed Li5Sn structure
with the space group Cmcm (#7 in Figure ). Gray, dark green, and light
green spheres represent Sn, Li(1), and Li(2), respectively. Note that
the alternative notations Li(cap) and Li(prism) are from the viewpoint
of the Sn coordination polyhedra and are used for the ab initio analysis in Section 4.7.
Figure 6
Comparison of ab initio computed
energies of the
108 Li5Sn structures at 0 K at their optimized atomic positions.
The energy of structure #23, which shows the lowest value, is set
as the reference.
Figure a
shows
a section of the experimental crystal structure of Li5Sn
emphasizing the framework of vertex-, edge-, and face-sharing bicapped
hexagonal prisms around Sn. In this structure, the polyhedra around
Sn share the opposite capping Li(1) vertices parallel to [100]. For
polyhedra around Li(1) this applies correspondingly, sharing opposite
capping vertices of Sn, resulting in parallel slightly kinked chains
of alternating Sn and Li(1) atoms within this direction located in
a hexagonal primitive channel of Li(2). The coordination polyhedra
around Sn are connected to eight other Sn coordination polyhedra in
the edge-sharing manner and to four further ones via rectangular face-sharing
within (100). This face-sharing leads to zigzag chains parallel to
[001].
Figure 5
(a) Li5Sn with the space group Cmcm found
in the present experiments. (b) Li5Sn with the
space group Immm showing the lowest energy at 0 K
in the ab initio simulations. Li(1) (Li(cap)) atoms
are shown in dark green, Li(2) (Li(prism)) atoms in light green, and
Sn atoms in gray. Sn coordination polyhedra in different colors (blue
and orange) are connected in an edge-sharing manner (cf. Figure ).
(a) Li5Sn with the space group Cmcm found
in the present experiments. (b) Li5Sn with the
space group Immm showing the lowest energy at 0 K
in the ab initio simulations. Li(1) (Li(cap)) atoms
are shown in dark green, Li(2) (Li(prism)) atoms in light green, and
Sn atoms in gray. Sn coordination polyhedra in different colors (blue
and orange) are connected in an edge-sharing manner (cf. Figure ).
Structural Comparison between Experiment and Ab Initio for Cmcm Li5Sn
In Table , the structural
parameters of Cmcm Li5Sn (structure #7
in the enumeration) obtained from the ab initio calculations
at 0 K are compared with those obtained from our experiments. The
differences in the lattice parameters lie in the range of 1% to 2%,
which is a typical range of deviation for the standard exchange–correlation
functionals (e.g., refs (87) and (88)). Thus, the comparison of the geometry of the specific Cmcm Li5Sn structure provides a reasonable agreement with
experiment in terms of structural data.
Structural
Characteristics of the Li5Sn Family
The Cmcm structure observed in
the experiments is different from the structures previously reported
in ab initio investigations on Li5Sn.[25,26] However, as described in Section 3.1,
the experimental and the previous ab initio structures
can be understood as different arrangements of the bicapped hexagonal
prisms with Sn at the center and with a frame of 14 Li atoms, among
which 2 and 12 are on the cap and the prism positions, respectively
(cf. Figure a). Indeed,
there exists a large family of such structures that feature the capped
hexagonal prisms as the basic entity which can be systematically arranged
by the technique of structure enumeration (cf. Section 3.1). The Li coordination polyhedra are also similar
among all of these structures; the coordination polyhedra around Li(cap)
are always bicapped hexagonal prisms consisting of two Sn and 12 Li(prism)
atoms, like in Figure b, and the coordination polyhedra around Li(prism) Edshammer polyhedra[85,86] consisting of three Li(cap), five Li(prism), and three Sn atoms
like in Figure c,
where only the arrangements of Sn and Li differ among the structures.
In order to provide a comprehensive phase stability analysis, we thus
consider a large subset of Li5Sn structures from this family
(specifically 108 structures) with different arrangements of the polyhedra
generated by structure enumeration.
Phase
Stability at 0 K
Figure shows the ab initio computed energies of
the 108 Li5Sn structures at 0 K with relaxed atomic positions
and relaxed cell shape. Structure #23 is found to be energetically
the most stable one among all the structures. Structure #23 has a
space group of Immm (No. 71) and is different from
those found in the previous ab initio investigations,
i.e., from the one found by Mayo and Morris (#0, P6/mmm (No. 191), +10.6 meV/atom)[26] and by Sen and Johari (#83, C2/m (No. 12), +0.5 meV/atom).[25] Structure #23 is also distinct from the experimental structure (Cmcm (No. 63)), which in Figure corresponds to #7. At 0 K, the experimental
Li5Sn structure (#7) is higher in energy by +12.1 meV/atom
than the computationally determined lowest-energy structure (#23). Figure b shows the arrangement
of the Sn coordination polyhedra in structure #23. The lattice parameters
of structure #23 are a = 5.763 Å, b = 8.156 Å, and c = 13.681 Å, and the
fractional atomic coordinates are summarized in Table .
Table 6
Fractional
Atomic Coordinates for
Structure #23 with the Space Group Immm As Obtained
in the Ab Initio Simulations with Setting A in Table
Wyckoff
x
y
z
Li
16o
0.761 46
0.331 46
0.164 01
Li
8n
0.224 98
0.162 46
0
Li
4j
1/2
0
0.844 39
Li
2c
1/2
1/2
0
Sn
4i
1/2
1/2
0.319 55
Sn
2d
0
1/2
0
Comparison of ab initio computed
energies of the
108 Li5Sn structures at 0 K at their optimized atomic positions.
The energy of structure #23, which shows the lowest value, is set
as the reference.One may notice that the energy differences
among the three lowest-energy
structures (#23, #41, #83) vary only within 0.5 meV/atom. As detailed
in Section 4.5, however, these energy differences
are very robust against detailed computational conditions, and thus
we can conclude with confidence that in DFT at 0 K the structure #23
is the energetically most stable phase with the composition of Li5Sn.Figure shows the
computed energy–volume curves at 0 K for some of the structures.
Structure #23 is found to be energetically the most stable one for
most of the investigated volumes, and structure #7, found in the present
experiments, is substantially higher in energy than structure #23.
This implies that, by the application of pressure, it is unlikely that the experimentally observed structure #7 could be thermodynamically
stabilized over structure #23.
Figure 7
Ab initio computed energy–volume
relations
of Li5Sn at 0 K. The curves are obtained by fitting the
energy–volume relations to the Vinet equation of state.[89,90] The minimum energy of the structure #23 is set as the reference.
Ab initio computed energy–volume
relations
of Li5Sn at 0 K. The curves are obtained by fitting the
energy–volume relations to the Vinet equation of state.[89,90] The minimum energy of the structure #23 is set as the reference.The just presented phase-stability analysis among
the 108 Li5Sn structures reflects only the energetic competition
at a
fixed composition of 83.3̅ at. % Li. To investigate whether
phase decomposition into a two-phase state is energetically more favorable
than the best Li5Sn structure (i.e., #23), specifically
a decomposition into the end-member phase bcc Li and the known stable
phase F4̅3m Li17Sn4, we have invoked eq . Indeed, we find that structure #23 of Li5Sn is 9.8 meV/atom higher in energy than the two-phase state, which
means that structure #23 (as well as any of the other investigated
Li5Sn structures) does not correspond to an equilibrium
state but to a thermodynamically metastable phase at 0 K and under
zero pressure.
Robustness against Computational
Conditions
To make sure that our results are robust and insensitive
to the
details of the computations despite the small energetic differences,
we tested various computational settings, including different cutoff
energies, different k-space mesh densities, PAW potentials
with different valence states, and various exchange–correlation
functionals (cf. Section 3.2 and specifically Table ). Figure shows the resulting energy
comparison among these computational settings in the form of correlation
plots, with the energy of structure #23 set as the reference. For
all investigated computational settings, structure #23 is clearly
found to be the energetically lowest one among the 108 Li5Sn structures. In fact, all the energy differences among the 108
structures are very similar among the various computational settings,
as evidenced by the crosses lying closely to the diagonal in the correlation
plots. For the PBE calculations (Figure a–c), we see a nearly perfect correlation,
and even between different exchange–correlation functionals
we see a good correlation (Figure d–f). These results substantially strengthen
our confidence in that the phase stability among the 108 investigated
Li5Sn structures as obtained in the ab initio calculations is reliable and that structure #23 can be conclusively
regarded as the energetically most stable one among the 108 structures
at 0 K on the DFT level.
Figure 8
Comparison among the various computational settings
listed in Table for
the ab
initio computed energies at 0 K of the 108 investigated Li5Sn structures. The energy of structure #23 is set as the reference.
Comparison among the various computational settings
listed in Table for
the ab
initio computed energies at 0 K of the 108 investigated Li5Sn structures. The energy of structure #23 is set as the reference.
Impact of the Arrangement
of the Sn Coordination
Polyhedra on Phase Stability
To understand how the arrangement
of the Sn coordination polyhedra is related to the relative energies
of the Li5Sn structures, we employ the CE method (Section 3.3). Figure a shows the ECIs obtained when the doublet
and the quartet clusters, i.e., clusters made of two and four Sn coordination
polyhedra, are considered in the expansion. The largest contribution
to the energy comes from the first three smallest doublet clusters,
which are visualized in Figure b. The absolute values of their ECIs decrease with the increase
of the maximum projected distance D between the centers
of the Sn coordination polyhedra within the clusters. Further, a quartet
cluster, which is also visualized in Figure b, has an ECI whose absolute value is larger
than 1 meV/atom. This highlights the importance of this quartet cluster
to be included for an accurate energy prediction. In particular, the
quartet cluster is more important than the doublet cluster with the
projected distance between the centers
of the Sn coordination
polyhedra.
Figure 9
(a) ECIs obtained from the CE considering four doublet and 25 quartet
clusters. The unit of the horizontal axis is the projected distance
between the nearest-neighbor Sn coordination polyhedra D. Some typical arrangements of the polyhedra in the specified clusters
and how they contribute to the energy are shown in the boxes. (b)
Smallest doublet and quartet clusters. The clusters annotated by blue
text show the largest absolute values of ECIs.
(a) ECIs obtained from the CE considering four doublet and 25 quartet
clusters. The unit of the horizontal axis is the projected distance
between the nearest-neighbor Sn coordination polyhedra D. Some typical arrangements of the polyhedra in the specified clusters
and how they contribute to the energy are shown in the boxes. (b)
Smallest doublet and quartet clusters. The clusters annotated by blue
text show the largest absolute values of ECIs.As found from Figure a, the first-nearest neighbor doublet cluster shows a negative ECI,
which means that the Sn coordination polyhedra favor being connected
with each other in the face-sharing manner. It is, however, critical
to realize that there is a counteracting contribution from the second-
and the third-nearest neighbor doublet clusters as well as the above-mentioned
quartet cluster, which can stabilize Li5Sn structures involving
edge-sharing Sn coordination polyhedra in rather sophisticated ways.
In particular, the two doublet clusters with positive ECIs favor configurations
where the second and third nearest-neighbor coordination polyhedra
are shifted against each other by one-half along the cap direction
(i.e., they favor orange-blue occupations).We can quantify
the importance of the various clusters by the analysis
of the root-mean-square error (RMSE) of the energies predicted by
the CEs including specific clusters, as summarized in Table . In the extreme limit, when
only the first nearest-neighbor doublet cluster is included, we obtain
an RMSE of 2.702 meV/atom, which is large compared to the relevant
energy scale (≈16 meV/atom, cf. Figure ). When four doublet but no quartet clusters
are included, the RMSE reduces to 1.300 meV/atom. This value is still
appreciable due to the comparably small overall energetics. This statement
is better supported by the scatter observed in the correlation plot
in Figure a for
the CE containing only doublet clusters. Even worse, such a CE fails
to correctly predict the lowest-energy structure (#23).
Table 7
Dependence of the RMSE of the Energies
Predicted by the CE Method on the Numbers of Doublet and the Quartet
Clusters Included in the Expansiona
doublet
quartet
RMSE (meV/atom)
1
0
2.702
2
0
2.349
2
1
1.832
2
2
1.776
3
0
1.415
3
1
0.818
3
2
0.810
3
7
0.727
4
0
1.300
4
1
0.741
4
2
0.738
4
7
0.616
4
25
0.388
Starting in the first row of
the table with an expansion containing only the strongest first nearest-neighbor
doublet cluster (cf. doublet cluster with 1D in Figure b), the following
rows represent expansions with successively more doublet and quartet
clusters. For the rows with the same number of doublet clusters, quartet
clusters with successively larger distances Dquartet are included, but only up to a Dquartet ≤ Ddoublet, where Ddoublet is the maximum distance of the included
doublet cluster.
Figure 10
Comparison of ab initio computed energies at 0
K for the 108 Li5Sn structures with those obtained from
the CE method. The energy of structure #23 obtained from the ab initio calculation is set as the reference. (a) CE considering
only the doublet clusters for the fitting. (b) CE considered both
the doublet and the quartet clusters for the fitting.
Starting in the first row of
the table with an expansion containing only the strongest first nearest-neighbor
doublet cluster (cf. doublet cluster with 1D in Figure b), the following
rows represent expansions with successively more doublet and quartet
clusters. For the rows with the same number of doublet clusters, quartet
clusters with successively larger distances Dquartet are included, but only up to a Dquartet ≤ Ddoublet, where Ddoublet is the maximum distance of the included
doublet cluster.Comparison of ab initio computed energies at 0
K for the 108 Li5Sn structures with those obtained from
the CE method. The energy of structure #23 obtained from the ab initio calculation is set as the reference. (a) CE considering
only the doublet clusters for the fitting. (b) CE considered both
the doublet and the quartet clusters for the fitting.In contrast, when we add the above-discussed quartet cluster
with
an ECI of +1.02 meV/atom (cf. Figure b) instead of the fourth doublet cluster, the RMSE
reduces down to 0.818 meV/atom, which confirms the importance of this
quartet cluster. When the whole set of doublet and quartet clusters
is considered, the correlation is further significantly improved,
as indicated by the RMSE reducing down to 0.388 meV/atom. In fact,
it is essential to include the quartet clusters for correctly predicting
the lowest-energy structure #23, as demonstrated in Figure b.
Sn–Li
Distances and Their Relation
to Energies
Figure displays the average distances from Sn to two types of Li,
i.e., Li(prism) and Li(cap), for all of the 108 Li5Sn structures.
As emphasized by the large gap between the two gray-shaded regions,
the average Sn–Li(prism) distance is substantially larger than
the Sn–Li(cap) distance for all structures. This finding is
nicely consistent with the observed interatomic distances in the experimentally
found Cmcm Li5Sn structure (#7) (cf. Table ). Indeed, we see
a good quantitative agreement between the theoretical prediction (orange
dots in Figure )
and experiment (orange crosses) for structure #7.
Figure 11
Comparison of the average
Sn–Li distances for the 108 Li5Sn structures at
0 K at their optimized atomic positions.
The crosses for structure #7 indicate the values observed in our experiments
at ambient temperature.
Comparison of the average
Sn–Li distances for the 108 Li5Sn structures at
0 K at their optimized atomic positions.
The crosses for structure #7 indicate the values observed in our experiments
at ambient temperature.Figure shows
various correlation plots among the relevant energetic and geometric
quantities for the 108 Li5Sn structures. Between the average
Sn–Li(cap) distance and the relative energies (Figure a), there is a strong anticorrelation
with a Pearson coefficient of −0.942, which implies that longer
Sn–Li(cap) distances are energetically preferable. In relation
with the CE discussion in Section 4.6, we
can state that the structures lower in energy profit from an easier
elongation of the Sn–Li(cap) distance. The elongation of the
Sn–Li(cap) distance is mostly achieved by the elongation of
the lattice parameter along the cap direction, as demonstrated by
the strong positive correlation between them (Figure d). Further, the off-centering of Sn in
its coordination polyhedron also contributes to an increase of the
Sn–Li(cap) distance, as found from the positive correlation
between the Li(cap)–Sn–Li(cap) angle and Sn–Li(cap)
distance (Figure e).
Figure 12
(a, b) Correlations of the ab initio computed
energies at 0 K with (a) the average Sn–Li(cap) distances and
(b) the average Sn–Li(prism) distances for the 108 Li5Sn structures. Dashed gray lines are guides for the eyes. (c) Examples
of linear face-sharing arrangement of Sn coordination polyhedra in
the same representation style as Figure . (d) Correlation between the lattice parameters
along the cap direction and the average Sn–Li(cap) distances.
(e) Correlation between the average Li(cap)–Sn–Li(cap)
angles and the average Sn–Li(cap) distances.
(a, b) Correlations of the ab initio computed
energies at 0 K with (a) the average Sn–Li(cap) distances and
(b) the average Sn–Li(prism) distances for the 108 Li5Sn structures. Dashed gray lines are guides for the eyes. (c) Examples
of linear face-sharing arrangement of Sn coordination polyhedra in
the same representation style as Figure . (d) Correlation between the lattice parameters
along the cap direction and the average Sn–Li(cap) distances.
(e) Correlation between the average Li(cap)–Sn–Li(cap)
angles and the average Sn–Li(cap) distances.There is also a positive correlation between the average
Sn–Li(prism)
distance and the relative energies (Figure b) with a Pearson coefficient of +0.698,
which is however not as strong as the anticorrelation between the
average Sn–Li(cap) distance and the relative energies (Figure a). The correlation
is primarily broken by a few streaks of data points (dashed gray lines
in Figure b), which
can be identified with structures involving linear ordering of face-sharing
Sn coordination polyhedra, as exemplified in Figure c. This implies a relation between the Sn–Li(prism)
distance and the type of connection between the Sn coordination polyhedra. Figure shows the corresponding
correlation plot between the average Sn–Li(prism) distance
and the average correlation function of the first nearest-neighbor
(1NN) doublet clusters, which accounts for the number of face- and
edge-sharing polyhedra in the structure. There is a strong anticorrelation
between these properties, as indicated by the Pearson coefficient
of −0.953. That is, the more the 1NN polyhedra are arranged
in a face-sharing manner, the shorter the Sn–Li(prism) distances
are. As found in Section 4.6, however, it
is essential for an accurate energy prediction to take the doublet
clusters beyond the 1NN as well as the quartet clusters into account.
Figure 13
Correlation
of the Sn–Li(prism) distances and the average
correlation functions of the 1NN doublet clusters for the 108 Li5Sn structures.
Correlation
of the Sn–Li(prism) distances and the average
correlation functions of the 1NN doublet clusters for the 108 Li5Sn structures.
Phase
Stability for Li5Sn at Finite
Temperatures
Based on the detailed analysis in foregoing
subsections, we can confidently claim that, at 0 K and at the composition
of Li5Sn, ab initio predicts structure
#23 with the space group of Immm as the lowest-energy
structure. Since this structure is different from the experimentally
found one (#7), the experimental Cmcm Li5Sn phase is metastable and may therefore be realized either by (1)
thermodynamic stabilization at finite temperature or (2) due to kinetic
reasons during the experimental process. To check the first possibility,
i.e., whether the experimental structure #7 could be stabilized at
finite temperatures due to lattice vibrations or electronic excitations,
we further computed the Gibbs energy at finite temperature based on ab initio calculations. Specifically, we utilized the TILD
approach[55,56] with an intermediate MTP potential to get
accurate Gibbs energies at finite temperatures (Section 3.4) with considering both lattice vibrations, including
full anharmonicity, and electronic excitations.Figure shows the computed Gibbs
energies with respect to the 0 K static energy of structure #23 as
a function of temperature for structures #7 (found in experiments)
and #23 (ab initio lowest-energy state at 0 K found
in the present study). Even up to 600 K, i.e., slightly lower than
the temperature above which the initial phase is not stable (Appendix
E in the Supporting Information), the experimental
structure (#7) is found to be higher in Gibbs energy than structure
#23, although the difference of the Gibbs energies becomes marginally
smaller at higher temperatures. It should be emphasized that the Gibbs
energy in the present approach considers full vibrational anharmonicity
and the coupling between the lattice vibrations and electronic excitations.
This implies that the experimental Cmcm Li5Sn structure is realized, not due to thermodynamic stabilization
but likely due to kinetic reasons, e.g., due to the cooling process
from the liquid phase.
Figure 14
Computed Gibbs energies as a function of temperature
of the Li5Sn structures found in experiments (#7) and of ab
initio lowest-energy states at 0 K (#23) in the present study
using MTP-assisted ab initio thermodynamic integration
with 288-atom supercell models. The 0 K static energy of structure
#23 is set as a reference.
Computed Gibbs energies as a function of temperature
of the Li5Sn structures found in experiments (#7) and of ab
initio lowest-energy states at 0 K (#23) in the present study
using MTP-assisted ab initio thermodynamic integration
with 288-atom supercell models. The 0 K static energy of structure
#23 is set as a reference.
Conclusions
For the binary system Li–Sn,
a new and to date the most
lithium-rich compound Li5Sn with the space group Cmcm was obtained and structurally characterized. Knowledge
of the phase space is of pivotal importance for a deeper understanding
of the electrode processes in the lithium–tin battery. Formation
of this particular lithium-rich compound would enable an increase
of the capacity. In accordance with two independent recent predictions,
the crystal structure is composed of the identical coordination polyhedra
(notably bicapped hexagonal prisms around Sn and Li(1) and Edshammer
polyhedra around Li(2)) though differently arranged.Ab initio analyses, including thermodynamic integration
using Langevin dynamics in combination with moment tensor potentials,
have also been conducted to understand the thermodynamic stability
of the experimentally observed Cmcm Li5Sn structure. Among the 108 Li5Sn structures systematically
derived using the structure enumeration algorithm,[36,37] including the Cmcm structure and those predicted
in previous studies, another new structure with the space group type Immm has been found to be energetically the most stable
at 0 K. This computationally found Immm structure
is thermodynamically favorable even at finite temperatures, indicating
that the experimentally observed Cmcm Li5Sn is realized due to kinetics rather than thermodynamics.
Authors: Ranganath Teki; Moni K Datta; Rahul Krishnan; Thomas C Parker; Toh-Ming Lu; Prashant N Kumta; Nikhil Koratkar Journal: Small Date: 2009-10 Impact factor: 13.281