Federico Brivio1, Clovis Caetano2, Aron Walsh1,3. 1. Centre for Sustainable Chemical Technologies and Department of Chemistry, University of Bath , Claverton Down, Bath BA2 7AY, United Kingdom. 2. Universidade Federal da Fronteira Sul , Realeza Paraná 85770-000, Brazil. 3. Global E3 Institute and Department of Materials Science and Engineering, Yonsei University , Seoul 120-749, Korea.
Abstract
The formation of solid-solutions of iodide, bromide, and chloride provides the means to control the structure, band gap, and stability of hybrid halide perovskite semiconductors for photovoltaic applications. We report a computational investigation of the CH3NH3PbI3/CH3NH3PbBr3 alloy from density functional theory with a thermodynamic analysis performed within the generalized quasi-chemical approximation. We construct the phase diagram and identify a large miscibility gap, with a critical temperature of 343 K. The observed photoinstability in some mixed-halide solar cells is explained by the thermodynamics of alloy formation, where an initially homogeneous solution is subject to spinodal decomposition with I and Br-rich phases, which is further complicated by a wide metastable region defined by the binodal line.
The formation of solid-solutions of iodide, bromide, and chloride provides the means to control the structure, band gap, and stability of hybrid halide perovskite semiconductors for photovoltaic applications. We report a computational investigation of the CH3NH3PbI3/CH3NH3PbBr3 alloy from density functional theory with a thermodynamic analysis performed within the generalized quasi-chemical approximation. We construct the phase diagram and identify a large miscibility gap, with a critical temperature of 343 K. The observed photoinstability in some mixed-halide solar cells is explained by the thermodynamics of alloy formation, where an initially homogeneous solution is subject to spinodal decomposition with I and Br-rich phases, which is further complicated by a wide metastable region defined by the binodal line.
The last four years have seen
the emergence of photovoltaic devices based on methylammonium lead
iodide (MAPbI3, MA = CH3NH3+) and related hybrid organic–inorganic perovskites. The excitement
in the field has led to a large research effort and a rapid development
of high-efficiency devices.[1−3] The physical properties of MAPbI3, in particular the band gap, can be tuned in several ways:
(i) changing the central organic molecule MA, for example substituting
it by the formamidinium (FA);[4] (ii) replacing
Pb by another cation, for example Sn or Ge;[5] (iii) substituting iodine by bromine or chlorine.The first
hybrid perovskite photovoltaic devices included small
amounts of chlorine, which were believed to be randomly interchanged
with iodine forming the MAPb(I1–Cl)3 pseudobinary alloy.
Mixed MAPb(I1–Br)3 has been recently successfully produced by different
groups.[1,6−11] The motivating factors for the I/Br mixture are increased chemical
stability and control of the band gap toward tandem solar cell applications.
However, it is still not completely understood whether the alloy is
stable against phase segregation in the entire range of composition.
There has been some evidence for photoinduced phase separation,[12−14] which can affect measurements and performance when the material
is photoexcited.[15,16] This effect is unusual, as typically
electron and ion transport are decoupled (electrons move quickly with
short lifetimes compared to slower ion diffusion processes). There
have been some initial theoretical studies of the stability of this
alloy, but they either focus on a single composition[17] or are based on the inorganic CsPb(I1–Br)3 system.[18]In this Letter we combine first-principles
total energy calculations
with a statistical mechanical treatment of the configurational space
of the solid-solution formed between MAPbI3 and MAPbBr3. From this model, we determine how the thermodynamic potentials
of the alloy vary with respect to composition and temperature. From
this analysis, we construct the first phase diagram of the system.
The qualitative picture that emerges is that the I/Br mixture has
a miscibility gap above room temperature and that
heavily mixed systems (0.3 < x < 0.6) will
be subject to spinodal decomposition and phase separation at 300 K.
The main two approximations in our model are the supercell expansion,
which limits the configurational space of the alloy that is sampled,
and the use of a pseudocubic building block, as the end member compounds
and alloys show temperature-dependent structures.[6,9,19]The calculated energy of mixing as
a function of the alloy composition
is shown in Figure . The variation is unusual, as had been already pointed out by Yin
et al. for the CsPb(I1–Br)3 alloy.[18] The MAPb(I1–Br)3 alloy presents a large spread in the energy of
mixing in the Br-rich region, which may suggest a tendency for spontaneous
ordering in this region at low temperatures. Indeed, there are two
configurations that have negative energies of mixing and should be
stable against phase separation into the pure end-member compounds,
as indicated by the convex hull in Figure . These configurations correspond to ordered
structures of MAPbIBr2 and MAPbI1/2Br5/2, as shown in Figure . Both structures are formed when the iodine
ions are located at the apical positions, forming superlattices along
the [001] direction. From the Shannon ionic radii,[20] the mismatch between the two halides is 0.24 Å (rI = 2.20 Å, rBr = 1.96 Å). These two ordered structures provide the structural
freedom to separate the Pb–I (longer) and Pb–Br (shorter)
interatomic separations along distinct directions, so that internal
strain is minimized.
Figure 1
Energy of mixing (top) and entropy of mixing (bottom)
as functions
of the CH3NH3Pb(I1–Br)3 alloy composition.
The symbols are the values calculated for each configuration (eq ). The solid lines show
the behavior for the alloy at 200 K (blue), 300 K (green) and for
a completely random alloy in the high T limit (red) within the generalized
quasi-chemical approximation. The dashed line represents the convex
hull.
Figure 2
Stable ordered structures identified for MAPbIBr2 and
MAPbI1/2Br5/2, which minimize internal strain
arising from the size mismatch between I and Br. The atoms at the
corners of the octahedra are the halides Br (orange) and I (pink).
The most stable structures are layered with iodine at the apical positions.
Energy of mixing (top) and entropy of mixing (bottom)
as functions
of the CH3NH3Pb(I1–Br)3 alloy composition.
The symbols are the values calculated for each configuration (eq ). The solid lines show
the behavior for the alloy at 200 K (blue), 300 K (green) and for
a completely random alloy in the high T limit (red) within the generalized
quasi-chemical approximation. The dashed line represents the convex
hull.Stable ordered structures identified for MAPbIBr2 and
MAPbI1/2Br5/2, which minimize internal strain
arising from the size mismatch between I and Br. The atoms at the
corners of the octahedra are the halides Br (orange) and I (pink).
The most stable structures are layered with iodine at the apical positions.The variation in the energy of
mixing of the alloy calculated within
the generalized quasi-chemical approximation (GQCA)[21] is also shown in Figure . The shape of the curve changes considerably with
temperature, becoming more symmetric for high temperatures. At room
temperature, the energy of mixing of the solid solution can be well
represented by the expression Ωx(1 – x), with Ω = 0.06–0.02x (in
eV/anion), i.e., with a small deviation from the regular solution
behavior. As can also be seen in Figure , the variation in the entropy of mixing
of the alloy with temperature is close to the ideal solution expression
– k[x ln x + (1 – x) ln (1 – x)], which is expected for a random alloy at high temperatures.
The variation of the free energy for MAPb(I1–Br)3 is shown in Figure . For low temperatures
the curve is asymmetric around x = 1/2 and is considerably
lower in the Br-rich region, a consequence of the existence of the
two ordered structures with negative energies of mixing described
above. Also for low temperatures the free energy presents points with
the same tangent, which indicates the existence of a miscibility gap.
As the temperature increases, the shape of the curve becomes more
symmetric as the probability of sampling all possible configurations
increases.
Figure 3
Calculated Helmholtz free energy as a function of the alloy composition
and temperature as calculated within the generalized quasi-chemical
approximation.
Calculated Helmholtz free energy as a function of the alloy composition
and temperature as calculated within the generalized quasi-chemical
approximation.Based on the Helmholtz
free energy variation, we built the phase
diagram of MAPb(I1–Br)3, which is shown in Figure . The phase diagram reflects
the asymmetry of the free energy, showing that the solid solution
is more stable in the Br-rich region for typical growth temperatures.
The phase diagram also shows that, at 300 K, the alloy is not stable
against phase separation in the range of compositions between x1 = 0.19 and x2 =
0.68, the miscibility gap. Under equilibrium conditions, the pure
compounds MAPbI3 and MAPbBr3 are not miscible
inside this region, and two phases of compositions x1 and x2 must be formed. Also
at room temperature, the alloy has spinodal points at the compositions x1′ = 0.28 and x2′ = 0.58, so in the intervals x1 < x < x1′ and x2′ < x < x2 the
alloy can present metastable phases, i.e., resistant to small fluctuations
in composition. The existence of a miscibility gap at low temperatures
is not a surprise, since there is a difference of 6% between the equilibrium
lattice constants of MAPbI3 and MAPbBr3. The
mismatch of the lattice constants is generally associated with the
instability of isovalent solid solutions.[22] The critical temperature–the temperature above which the
solid solution is stable for any composition–is 343 K, a value
considerably higher than the temperature of 223 K estimated by Yin
et al. for the CsPb(I1–Br)3 perovskite.
Figure 4
Predicted phase diagram
of the MAPb(I1–Br)3 alloy. The purple
and pink lines are the binodal and spinodal lines, respectively. The
dashed horizontal line shows the miscibility gap at room temperature.
A thermodynamically stable solid-solution can be formed in the white
region only.
Our model
provides a simple thermodynamic explanation for the photoinduced
phase separation observed in mixed halide solar cells. In an initial
state, a uniform mixture can be fabricated either through control
of the deposition kinetics or by annealing above the miscibility temperature.
At room temperature, the uniform mixture becomes unstable, but phase
separation will be a slow process. Illumination at high light intensities
has the effect of overcoming these kinetic barriers and changing the
local temperature. Another possible contribution associated with the
photocurrent in an active solar cell is electromigration, which will
affect Br more than I due to the lower atomic mass.Direct comparison
with experiment is made difficult by the fact
that most studies have reported the stoichiometry of the precursor
solutions, but not the final materials. Hoke et al. investigated a
range of compositions from x = 0 to 1, which were
annealed at 373 K.[13] A blue-shift in optical
absorption was found from I-rich to Br-rich compositions except for
around x = 0.5, which showed a behavior that indicated
phase separation into I-rich domains of x ∼
0.2 from analysis of the spectral shift in photoluminescence. Note
that as Br-rich domains will have larger band gaps, they can be spectrally
“invisible”. The observed behavior fits very well with
our predicted phase diagram (Figure ). Upon light soaking, compositions
of x > 0.2 were all found to exhibit decomposition
to the x ∼ 0.2 phase, which from our calculations
can be interpreted as the spinodal line at 300 K. A recent investigation
by Gil-Escrig of solar cells made from the Br/I mixture show a similar
behavior with a marked decrease in performance for Br-rich compositions.
The kinetics of these reorganization processes are consistent with
the rapid anion exchange observed for these perovskites.[23,24] Low activation energies for solid-state diffusion have been predicted
from simulation studies,[25−27] and there is increasing evidence
for mass transport in real devices.[28,29] While it is
unlikely that there is a mechanism to stabilize Br-rich mixtures toward
practical devices, compositional engineering—in the three-dimensional
Cs1–xMAPb1–ySnI3–zBr system for example—may provide a solution
to thermodynamically robust wider band gap materials.Predicted phase diagram
of the MAPb(I1–Br)3 alloy. The purple
and pink lines are the binodal and spinodal lines, respectively. The
dashed horizontal line shows the miscibility gap at room temperature.
A thermodynamically stable solid-solution can be formed in the white
region only.To summarize, we have
reported a statistical mechanical study of
the solid-solution formed by two halide hybrid perovskites informed
by quantum mechanical total energy calculations. The resulting phase
diagram for MAPb(I1–Br)3 reveals several important features:
(i) a critical temperature for mixing of 343 K; (ii) a window between
0.3 < x < 0.6 that is unstable with respect
to spinodal decomposition at 300 K; (iii) a binodal (coexistence)
point at x = 0.2 and x = 0.7 at
300 K. The thermodynamic metastability of this alloy for intermediate
Br/I compositions explains the sensitivity of the mixture to preparatory
conditions, temperature, and the operation conditions of a solar cell.
Computational
Methods
Disordered materials are challenging to accurately
describe using
atomistic simulations. We model the halide alloy as a statistical
ensemble of independent configurations for seven compositions: .
The mixing energy of each configuration
with energy E is defined
aswhere the last two terms represent
fractions
of the total energy of the pure compounds. The thermodynamic properties
of the alloy were determined using the generalized quasi-chemical
approximation.[21] This method has been successfully
employed in the thermodynamic analysis of semiconductor alloys.[30,31] By taking into account the total energy and the degeneracy of each
configuration, the method provides simple expressions for the mixing
contribution to the alloy internal energy ΔU and the configurational entropy Δ as functions of the composition x and
temperature T accordingly to a Boltzmann distribution.
With these thermodynamic potentials, the Helmholtz free energy of
the alloy can be directly evaluated:The
phase diagram of the alloy can be built
by calculating the free energy at different temperatures. For each
temperature, the binodal points are determined by collecting the compositions
for which ΔF has a common tangent. The spinodal
points are those in which the second derivative of ΔF vanishes. The model has been implemented in a set of Python
codes.The configuration energies E were each computed within the framework of Kohn–Sham
density functional theory (DFT).[32] We considered
a tetragonal supercell with 2 × 1 × 1 expansion of a pseudocubic
perovskite building block, which corresponds to six anions.[33,34] The total number of configurations for this system is 26 = 64. For a perfect inorganic cubic perovskite (Oh symmetry), the three halide sites are equivalent, which
reduces the total number of configurations to 21 in total (using the
SOD code[35]). Due to the presence of CH3NH3+ cation, the symmetry is formally
lowered. As a compromise between computational cost and accuracy,
we take the symmetry-reduced inequivalent configurations and perform
a full structural relaxation for each case. The initial cells were
constructed using a linear combination of the end member lattice constants
(a = 6.28 and 5.91 Å for MAPbI3 and
MAPbBr3, respectively), i.e. Vegard’s law. As the
molecules are known to be rotationally active at room temperature,[36,37] a range of orientations may be accessible, but this effect is not
included in our current model. Contributions from rotational and vibrational
entropy are not taken into account in the free energy expansion.For the DFT total energy calculations, we used the VASP[38] code with the Perdew–Burke–Ernzerhof
exchange-correlation functional revised for solids (PBEsol)[39] and the projector augmented-wave formalism[40] including scalar-relativistic corrections. A
plane-wave cutoff energy of 500 eV and a 3 × 6 × 6 k-point mesh were used for all the configurations. The lattice
volume and shape, and the atomic positions of each configuration were
fully optimized to minimize atomic forces below 1.0 meV/Å.Data Access Statement. The GQCA alloy code is
available from https://github.com/WMD-group/GQCA_alloys and the crystal structures from https://github.com/WMD-group/hybrid-perovskites.
Authors: John P Perdew; Adrienn Ruzsinszky; Gábor I Csonka; Oleg A Vydrov; Gustavo E Scuseria; Lucian A Constantin; Xiaolan Zhou; Kieron Burke Journal: Phys Rev Lett Date: 2008-04-04 Impact factor: 9.161
Authors: Nam Joong Jeon; Jun Hong Noh; Woon Seok Yang; Young Chan Kim; Seungchan Ryu; Jangwon Seo; Sang Il Seok Journal: Nature Date: 2015-01-07 Impact factor: 49.962
Authors: Tae-Youl Yang; Giuliano Gregori; Norman Pellet; Michael Grätzel; Joachim Maier Journal: Angew Chem Int Ed Engl Date: 2015-05-15 Impact factor: 15.336
Authors: Nam Joong Jeon; Jun Hong Noh; Young Chan Kim; Woon Seok Yang; Seungchan Ryu; Sang Il Seok Journal: Nat Mater Date: 2014-07-06 Impact factor: 43.841
Authors: Christopher Eames; Jarvist M Frost; Piers R F Barnes; Brian C O'Regan; Aron Walsh; M Saiful Islam Journal: Nat Commun Date: 2015-06-24 Impact factor: 14.919
Authors: Jarvist M Frost; Keith T Butler; Federico Brivio; Christopher H Hendon; Mark van Schilfgaarde; Aron Walsh Journal: Nano Lett Date: 2014-04-07 Impact factor: 11.189
Authors: Sergiu Draguta; Onise Sharia; Seog Joon Yoon; Michael C Brennan; Yurii V Morozov; Joseph S Manser; Prashant V Kamat; William F Schneider; Masaru Kuno Journal: Nat Commun Date: 2017-08-04 Impact factor: 14.919
Authors: Junke Jiang; Chidozie K Onwudinanti; Ross A Hatton; Peter A Bobbert; Shuxia Tao Journal: J Phys Chem C Nanomater Interfaces Date: 2018-07-17 Impact factor: 4.126
Authors: Tim W J van de Goor; Yun Liu; Sascha Feldmann; Sean A Bourelle; Timo Neumann; Thomas Winkler; Nicola D Kelly; Cheng Liu; Michael A Jones; Steffen P Emge; Richard H Friend; Bartomeu Monserrat; Felix Deschler; Siân E Dutton Journal: J Phys Chem C Nanomater Interfaces Date: 2021-06-30 Impact factor: 4.126