Christian S Ahart1, Kevin M Rosso2, Jochen Blumberger1. 1. Department of Physics and Astronomy, University College London, London WC1E 6BT, U.K. 2. Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Abstract
Transition metal oxide materials have attracted much attention for photoelectrochemical water splitting, but problems remain, e.g. the sluggish transport of excess charge carriers in these materials, which is not well understood. Here we use periodic, spin-constrained and gap-optimized hybrid density functional theory to uncover the nature and transport mechanism of holes and excess electrons in a widely used water splitting material, bulk-hematite (α-Fe2O3). We find that upon ionization the hole relaxes from a delocalized band state to a polaron localized on a single iron atom with localization induced by tetragonal distortion of the six surrounding iron-oxygen bonds. This distortion is responsible for sluggish hopping transport in the Fe-bilayer, characterized by an activation energy of 70 meV and a hole mobility of 0.031 cm2/(V s). By contrast, the excess electron induces a smaller distortion of the iron-oxygen bonds resulting in delocalization over two neighboring Fe units. We find that 2-site delocalization is advantageous for charge transport due to the larger spatial displacements per transfer step. As a result, the electron mobility is predicted to be a factor of 3 higher than the hole mobility, 0.098 cm2/(V s), in qualitative agreement with experimental observations. This work provides new fundamental insight into charge carrier transport in hematite with implications for its photocatalytic activity.
Transition metal oxide materials have attracted much attention for photoelectrochemical water splitting, but problems remain, e.g. the sluggish transport of excess charge carriers in these materials, which is not well understood. Here we use periodic, spin-constrained and gap-optimized hybrid density functional theory to uncover the nature and transport mechanism of holes and excess electrons in a widely used water splitting material, bulk-hematite (α-Fe2O3). We find that upon ionization the hole relaxes from a delocalized band state to a polaron localized on a single iron atom with localization induced by tetragonal distortion of the six surrounding iron-oxygen bonds. This distortion is responsible for sluggish hopping transport in the Fe-bilayer, characterized by an activation energy of 70 meV and a hole mobility of 0.031 cm2/(V s). By contrast, the excess electron induces a smaller distortion of the iron-oxygen bonds resulting in delocalization over two neighboring Fe units. We find that 2-site delocalization is advantageous for charge transport due to the larger spatial displacements per transfer step. As a result, the electron mobility is predicted to be a factor of 3 higher than the hole mobility, 0.098 cm2/(V s), in qualitative agreement with experimental observations. This work provides new fundamental insight into charge carrier transport in hematite with implications for its photocatalytic activity.
Understanding
charge transport in transition metal oxides is essential
to advancing technical frontiers across diverse fields ranging from
biogeochemistry, to renewable energy materials and microelectronics.
Hematite is a prominent example. It is a naturally abundant n-type
semiconductor[1] and plays a crucial role
in redox cycling,[2,3] bioremediation,[4] and colloid chemistry.[5] Moreover,
the mineral oxide has a visible spectrum band gap and consequently
has attracted much interest as a photoanode material for water splitting,[6−11] although problems remain including low mobility and short carrier
lifetimes.[12]Given the large number
of studies that this material has inspired
over the past decades, it is noteworthy that the intrinsic electron
and hole mobilities of undoped hematite remain experimentally poorly
constrained. At the same time, ever improved computational methods
are at our disposal to investigate charge transport. In particular,
critical advances in the approximations used in density functional
theory (DFT) enable ever increasing accuracy in describing the underlying
physics controlling charge transport in this material.At most
practical temperatures, charge transport in hematite occurs
through thermally activated hopping of polarons, localized lattice
distortions that lower the energy of the excess electron or hole such
that it becomes self-trapped.[13] As hematite
is a native n-type semiconductor and is frequently further doped with
electron donors,[14−16] the electron polaron has received much greater attention
and has been shown with both wave function[17−19] and density
functional theory[15,20,21] methods to localize on Fe atoms via their 3d states. The nature
of the electron hole polaron however appears to be more disputed,
where some groups have shown that it localizes on Fe atoms,[18] others on O atoms via 2p states,[22,23] and one group even finding that there is no localized hole polaron.[15]In the absence of conclusive experimental
evidence[24,25] our previous work[26] sought to clarify
this situation using the gap-optimized hybrid functional HSE06,[27] with large supercells under periodic boundary
conditions, removing some of the complications and uncertainties present
in earlier calculations. We have demonstrated that the electron hole
polaron localizes on a single iron atom, with octahedral distortion
of the surrounding iron–oxygen bonds and a change in spin moment
of +0.66, consistent with hybrid DFT[23] and
Hartree–Fock[18] calculations from
other groups. The electron polaron however delocalizes equally across
two neighboring iron atoms as a consequence of the lower reorganization
energy for electrons compared to holes,[26] with a smaller change in spin moment of +0.23 over each iron atom.In this paper we turn our attention to the calculation of electron
and electron hole diffusivity and mobility for hematite. In particular,
we would like to understand how the 2-site delocalized electron moves
along the lattice and how its mobility differs from that of the electron
hole. Shown highlighted in Figure is a single antiferromagnetic (AFM) plane of hematite,
referred to as an iron bilayer, where both the excess electron and
excess hole may localize. We consider the mobility only within this
basal plane, as electrical conductivity measurements show that conduction
is 4 orders of magnitude greater than in the perpendicular direction.[28,29]
Figure 1
Structure
of hematite. 2 ×2 × 1 supercell spin density
(left), with a single AFM plane highlighted in black shown color coded
by distance from a central iron atom 0 (middle). A single AFM plane
truncated to third nearest neighbors is shown (right). There are three
first nearest neighbors (purple) at a distance of 2.97 Å, six
second nearest neighbors (blue) at 5.04 Å, and three third nearest
neighbors (gray) at 5.87 Å. AFM spin orientation is indicated
by arrows to the left of the figure.
Structure
of hematite. 2 ×2 × 1 supercell spin density
(left), with a single AFM plane highlighted in black shown color coded
by distance from a central iron atom 0 (middle). A single AFM plane
truncated to third nearest neighbors is shown (right). There are three
first nearest neighbors (purple) at a distance of 2.97 Å, six
second nearest neighbors (blue) at 5.04 Å, and three third nearest
neighbors (gray) at 5.87 Å. AFM spin orientation is indicated
by arrows to the left of the figure.To this end, we calculate the electron transfer parameters and
rates for electron and electron hole transfer in hematite using constrained
density functional theory (CDFT). CDFT is an established method for
generating diabatic electronic states and calculating ET parameters
in molecular systems,[30−35] but applications to condensed phase/periodic systems remain rare
to date. In previous related work we used a plane-wave implementation
of CDFT to calculate ET parameters and rates for electron tunnelling
between F-center defects in MgO.[34] Though,
applications to late (spin density rich) transition metal ions remained
computationally prohibitive. In this work we take advantage of a recent
and very efficient periodic atomic-orbital implementation of CDFT[36] to calculate at the hybrid DFT level all the
ET parameters required to predict the charge mobility of electrons
and holes in bulk hematite. As with our previous work, we stress it
is only due to the increasing efficiency of computer codes and platforms
that it is possible to perform such expensive hybrid CDFT calculations
in combination with large supercells.We find that the hole
polaron in hematite localizes onto a single
iron atom with tetragonal distortion of the six surrounding iron–oxygen
bonds. The 3-fold degenerate tetragonal distortion of the Fe octahedron
is responsible for the low hole mobility in hematite, calculated as
0.031 cm2/(V s), a property well recognized to bear directly
upon the photocatalytic behavior of hematite.[6,9] The
higher mobility of the electron polaron, 0.098 cm2/(V s),
is attributed to a delocalization over two neighboring iron atoms,
advantageous for charge transport due to the larger spatial displacements
per transfer step.The remainder of the paper is organized as
follows. Section presents
a breakdown of the
required electron transfer theory, with Section detailing the computational methods used
including details of the CDFT calculations. Section presents the CDFT results for the hole
polaron, Section for the electron polaron, and Section the calculated mobilities. Section presents a discussion of
the results, and concluding remarks are made in Section .For calculation of the required
electron transfer (ET) parameters
and mobilities we adopt the same ET theory as used in previous studies
of hematite,[18] and in other CDFT calculations.[34] The semiclassical expression for the rate of
ET in a donor–acceptor complex derived from transition state
theory in the harmonic approximation and Landau–Zener theory
has the form[37,38]with the electronic transmission coefficient
κel = 2PLZ/(1 + PLZ) where PLZ =
1 – exp(−2πγ) is the Landau–Zener
transition probability with γ as the adiabaticity parameter
defined as . ⟨|Hab|2⟩TS is the squared electronic coupling
averaged over the transition state (TS) configurations, νn is the effective nuclear frequency along the reaction coordinate, ΔA‡ is the activation free energy,
λ is the reorganization free energy, kB is the Boltzmann constant, and T is the
temperature.[39] For an effective nuclear
frequency we use the same value as that used by Rosso and co-workers,[18] the energy of the highest infrared active longitudinal
optical mode phonon 1.85 × 1013 s–1. We note this is very close to the experimental Fe–O stretch
vibration 1.72 × 1013 s–1.[40]The general expression for the activation
free energy ΔA‡ valid in
the nonadiabatic, adiabatic, and intermediate regimes is[41]where A0 is the
free energy curve for the adiabatic electronic ground state for electron
transfer taking the vertical energy gap, ΔE, as reaction coordinateE and E are the electronic
energies for initial and final diabatic states a and b, R is the nuclear
configuration, ΔE = ΔE0 is the position of the minimum of state a, and ΔE = 0 is the position of the TS.ΔAna‡ is the activation free energy on the
diabatic electronic statesand Δ‡ is a correction
that becomes important when the electronic coupling Hab is large (|Hab| > ∼0.01–0.1
λ)with the assumption that the free
energy difference, ΔA, between the initial
and final state is zero, which
is the case in hematite due to symmetry. By ignoring thermal effects
of phonons on electronic coupling and reorganization free energy,
the activation free energy is approximated by the activation energy, ΔE‡,where Hab is taken
at the TS and the reorganization energy λ is calculated aswhere Ea(TS) and Ea(ΔE0) are
the electronic energies of the initial diabatic state at the transition
state and minimum energy nuclear configurations, respectively, calculated
using CDFT. Note that, for the current system, Ea(ΔE0) is virtually identical
with the DFT (adiabatic) ground state energy at the minimum energy
nuclear configuration.Charge transport in hematite can be modeled
as a succession of
hops between sites, with associated rate constants calculated from eq . The corresponding charge
mobility is obtained from the Einstein relationCalculation
of the diffusion coefficient D can
be performed through methods such as kinetic Monte Carlo,[42] or by solving a chemical master equation to
obtain the time-dependent charge population of each site as by Giannini
et al.[43] The mean squared displacement
(MSD) is calculated from the time evolution of the charge population,
and following an initial nonlinear equilibration period the diffusion
coefficient is given by the gradient of the MSD[44]As a result of the lattice symmetry, diffusion
is isotropic within
the basal plane and therefore the calculated mobility tensor becomes
a single value.Alternatively, the diffusion coefficient can
be calculated analytically
for a 1D chain model asfor the transfer distance R, site multiplicity i, and rate constant k. Rosso and co-workers[17,18] directly used eq for a 1D model of the
2D basal plane of hematite, with the site multiplicity i = 3 to approximately account for the 3 first nearest neighbors of
an iron atom in the 2D plane. Adelstein et al.[20] also used eq for an approximation of the 2D plane, but with i = 0.5. Our approach moves beyond these approximations, calculating
the full mobility tensor in the basal plane.
Computational Methods
We use the range-separated
hybrid functional HSE06,[27] with the percentage
of exact Hartree–Fock
exchange (HFX) modified to 12% to reproduce the experimental band
gap of hematite.[45,46] In previous work we demonstrated
that the standard definition of HSE06 with 25% HFX overestimates the
experimental band gap of 2.2 eV as 3.6 eV,[47] and does not satisfy the generalized Koopmans condition.[26]Initial coordinates were taken from the
experimental crystal structure
for hematite,[48] with geometry optimization
converged until the residual forces were smaller than 0.02 eV/Å.
For a more complete discussion of the structure and setup of bulk
hematite refer to ref (26). The only change in this work was that the planewave cutoff was
tightened from 400 to 600 Ry to aid in the verification of degenerate
structures.We find that the Hirshfeld spin moment on the Fe
atom is a suitable
descriptor for the polaronic states. The spin moment changes from
−3.95 to −3.29 for the electron hole and −3.95
to −3.72 for each of the two Fe atoms over which the electron
polaron is delocalized. Interestingly, the change in charge is not
found to be a useful descriptor due to (paired) electron rearrangement,
as also noted by other groups.[20,23]For electron
hole transfer between two Fe atoms, Fe and Fe, we define the
initial (final) ET state as the spin constrained CDFT state with the
spin moment on Fe (Fe) constrained to −3.29. For electron transfer between
two 2-site delocalized Fe pairs, (Fe1–Fe2) and (Fe3–Fe4), we define the initial (final)
ET state as the spin constrained CDFT state with the spin moment on
each of the two iron atoms Fe1 and Fe2 (Fe3 and Fe4) constrained to −3.72. These constraints
ensure that for any geometry (including transition state geometry)
diabatic states are obtained that resemble very closely the DFT electronic
ground state of the electron hole or electron polaron in the global
minimum energy structure.Other definitions of the spin constraint
would be possible. For
instance, one could include the first shell oxygen atoms but we found
that their spin moment is rather small and their inclusion in the
constraint is not beneficial. Moreover, one could constrain the spin
density difference between donor and acceptor groups which is a common
choice in CDFT calculations.[34] However,
we found that a single absolute spin constraint on the Fe atoms in
question is the most suitable choice in the present case.To
setup the CDFT calculations, first the polaron is localized
on each of the desired iron atoms, typically by offsetting the local
Fe–O bond lengths to facilitate polaron formation at this location.
After geometry optimization to form the charged DFT ground state,
linear interpolation is performed to create the transition state geometries.
These transition state geometries are then used to calculate both
the electronic couplings and reorganization energies (eq ) using CDFT. This is performed
by constraining the spin moment of the iron atoms to the spin moment
of the charged ground state given above, thus generating the diabatic
electronic states at the transition state geometry.
Results
Hole Polaron
The electron hole polaron,
shown in Figure (upper
row), is mainly localized on a single Fe atom and to a lesser extent
on first shell oxygen atoms. It is stabilized by an octahedral distortion
of the iron–oxygen bonds. There is a contraction of four equatorial
Fe–O bonds, and a very slight expansion of two axial Fe–O
bonds. These changes in bond lengths are in response to the removal
of electron density in the equatorial plane, more specifically in
response to removal of an electron from a d orbital.
Similar tetragonal elongation is observed in the Jahn–Teller
effect of high spin d4 complexes; however, this is not
strictly Jahn–Teller distortion, as there are two distinct
groups of Fe–O bond lengths of 1.94 and 2.12 Å in the
neutral geometry due to the iron bilayer.[48]
Figure 2
Excess
hole and excess electron in hematite. 4 × 4 ×
1 supercell excess spin density for ground state hole polaron (top)
and electron polaron (bottom), from DFT calculations. A hole polaron
localized on an iron atom has three degenerate structures (A, B, and
C) due to the octahedral distortion of the Fe–O bonds. As the
electron polaron is localized across two iron atoms, for any combination
of first nearest neighbors , the structures are also degenerate. Bond
length
differences with respect to neutral hematite between the iron atom
and bonded oxygen atoms are shown in Angstrom.
Excess
hole and excess electron in hematite. 4 × 4 ×
1 supercell excess spin density for ground state hole polaron (top)
and electron polaron (bottom), from DFT calculations. A hole polaron
localized on an iron atom has three degenerate structures (A, B, and
C) due to the octahedral distortion of the Fe–O bonds. As the
electron polaron is localized across two iron atoms, for any combination
of first nearest neighbors , the structures are also degenerate. Bond
length
differences with respect to neutral hematite between the iron atom
and bonded oxygen atoms are shown in Angstrom.Importantly, we find that, in the hematite lattice, the tetragonally
distorted structure can be realized in three equivalent ways giving
exactly the same electronic energy; see Figure (upper row). Each of these symmetry-related
structures can be transformed into one another by lattice vibrations.
To the best of our knowledge this 3-fold degeneracy of the hole polaron
has not been previously explored, and its effect on the mobility has
not been investigated.Due to the 3-fold structural degeneracy,
there are 3 × 3 =
9 possible transition state structures for hole transfer between an
Fe atom and any of the three nearest neighbors. However, only 5 of
these 9 combinations are unique featuring different donor–acceptor
orbital combination and electronic coupling (see Table ) and reorganization and activation
energy (Table ). Note
that the same set of five unique electronic couplings exist for all
three nearest neighbors.
Table 1
First Nearest Neighbour
Electronic
Coupling for the Hole Polaron in Bulk Hematite, Accounting for All
Possible Degenerate Structures of Atoms 0 and 1a
Electronic
coupling /meV
1(A)
1(B)
1(C)
0(A)
203
110
101
0(B)
110
53
39
0(C)
101
39
53
All other atom combinations can
be inferred by symmetry; e.g., highest coupling direction 0(1( is equivalent to
0(2(.
Table 2
Summary of Parameters
and Rates for
Hole and Electron Rransfera
Hole polaron
r (Å)
Neighbor
Hab (meV)
λ (meV)
ΔE‡ (meV)
κel
k (s–1)
2.97
0(A)-1(A)
203
652
23
1.0
7.5 × 1012
0(A)-1(B)
110
814
108
1.0
2.8 × 1011
0(A)-1(C)
101
784
108
1.0
2.8 × 1011
0(B)-1(B)
53
865
166
0.9
2.5 × 1010
0(B)-1(C)
39
881
183
0.7
1.1 × 1010
Average
147b
752c
70
1.0
1.2 × 1012
5.04
0(A)-4(A)
15
1050
248
0.2
2.2 × 108
0(A)-5(A)
8
1050
255
0.1
5.3 × 107
0(A)-6(A)
15
1028
242
0.2
2.8 × 108
0(A)-7(A)
30
1016
225
0.5
1.5 × 109
0(A)-8(A)
28
1022
228
0.5
1.2 × 109
0(A)-9(A)
16
1034
243
0.2
3.0 × 108
Average
21b
1032c
237
0.3
5.7 × 108
5.87
0(A)-10(A)
3
1087
269
0.0
4.4 × 106
0(A)-11(A)
9
1106
268
0.1
3.9 × 107
0(A)-12(A)
45
1026
213
0.8
3.6 × 109
Average
32b
1061c
234
0.5
1.1 × 109
Electronic coupling, reorganization
energy, activation energy, transmission coefficient, and rate constant
for bulk hematite at room temperature. For the hole polaron the Boltzmann
average for the electronic coupling and reorganisation energy is calculated
for each nearest neighbour, while for the electron polaron there is
only a single second nearest neighbour with an adiabaticity parameter
greater than one and therefore this is not necessary.
Boltzmann average for electronic
coupling Hab = (∑Hab,i2e–λ/∑e–λ)1/2 for hole transition states i; see SI for further detail.
Boltzmann average for reorganization
energy for hole transition states i; see SI for
further detail.
All other atom combinations can
be inferred by symmetry; e.g., highest coupling direction 0(1( is equivalent to
0(2(.Electronic coupling, reorganization
energy, activation energy, transmission coefficient, and rate constant
for bulk hematite at room temperature. For the hole polaron the Boltzmann
average for the electronic coupling and reorganisation energy is calculated
for each nearest neighbour, while for the electron polaron there is
only a single second nearest neighbour with an adiabaticity parameter
greater than one and therefore this is not necessary.Boltzmann average for electronic
coupling Hab = (∑Hab,i2e–λ/∑e–λ)1/2 for hole transition states i; see SI for further detail.Boltzmann average for reorganization
energy for hole transition states i; see SI for
further detail.The five
unique nearest neighbor couplings can be placed into three
groups shown in Figure : highest coupling (203 meV) where the polaron in initial and final
ET states has d orbitals aligned along the Fe–Fe
direction shown in Figure (upper row); moderate coupling (101, 110 meV) where in one
polaronic state the d orbital is aligned along the Fe–Fe
direction shown in Figure (middle row); and low couplings (39, 53 meV) where in neither
polaronic state the d orbital is aligned along the Fe–Fe
direction shown in Figure (lower row). The reorganization energies of the five unique
combinations are also slightly different; all ET parameters and rates
are summarized in Table .
Figure 3
Electron hole at the transition state geometry. 4 × 4 ×
1 supercell excess spin density for electronic ground state, obtained
from DFT calculations (left column) and for the diabatic initial (middle
column) and final hole transfer states (right column). The diabatic
states are obtained from CDFT with a spin constraint on the Fe atom
0 or 1 respectively, see Figure for atom labelling. Only three of the five unique
transition state geometries for nearest neighbour hole transfer are
shown, see Table for
hole transfer parameters.
Electron hole at the transition state geometry. 4 × 4 ×
1 supercell excess spin density for electronic ground state, obtained
from DFT calculations (left column) and for the diabatic initial (middle
column) and final hole transfer states (right column). The diabatic
states are obtained from CDFT with a spin constraint on the Fe atom
0 or 1 respectively, see Figure for atom labelling. Only three of the five unique
transition state geometries for nearest neighbour hole transfer are
shown, see Table for
hole transfer parameters.Similar considerations apply for second nearest neighbors and beyond.
However, as accounting for every structural combination of the hole
polaron for all of the second and third nearest neighbors would become
too computationally demanding, we choose to only consider these for
the (A) orientation of the hole polaron. As Table shows, the decay of the electronic coupling
with distance and the increase in reorganization energy is such that
the interaction of the hole polaron with its second and third nearest
neighbors is negligible. This means that only nearest neighbor charge
transfer processes are important for the hole polaron in bulk hematite,
consistent with work from other groups.[17,18]
Electron Polaron
In previous work
we found that the excess electron in hematite is delocalized over
two neighboring iron sites in the DFT electronic ground state.[26] According to electron transfer theory, this
suggests that electronic coupling between 1-site localized excess
electronic states is so large that they are are no longer stable states,
that is, they no longer correspond to a minimum of the ground state
potential energy surface. This is the case as soon as Hab > λ/2.[41] We are
now
in a position to further verify this hypothesis using CDFT.Indeed, using CDFT to constrain the excess electron on a single Fe
atom, we obtain a very large coupling value of 407 meV (4 × 4
× 1 supercell), while an upper limit for reorganizations energy
for nearest neighbor hopping of the 1-site localized electron polaron
can be estimated to be 0.49 eV;[26] hence, Hab > λ/2. Thus, both DFT calculation
of
the electronic ground state (adiabatic representation) and CDFT calculations
of spin-localized states (diabatic representation) suggest that the
1-site localized electron polaron is unstable and delocalizes over
two adjacent sites.Considering a given iron atom “0”,
delocalization
can occur over one of the three first nearest neighbors of 0: (0,1);
(0,2); or (0,3) (see Figure for numbering scheme). These states are energy degenerate
due to the symmetry of the lattice. There are several possible charge
transfer events of 2-site delocalized electron polaron. The shortest
transfer (2.97 Å between centers of excess spin) includes the
transitions: (0,1)-(0,2); (0,1)-(0,3); and (0,2)-(0,3) where (0,1)-(0,2)
denotes the electron transfer from the 2-site delocalized state (0,1)
to the 2-site delocalized state (0,2), and similarly for the other
electron transfers. All of these three electron transfers are equivalent
by symmetry. The coupling between these adjacent states is surprisingly
small given that they share an Fe atom with significant excess spin
density in both states. The reason is that the Fe t2g orbital
carrying the excess spin density is rotated by 120° with respect
to one another in the two diabatic electronic states; see Figure (upper row). This
results in a small overlap of the two (nonorthogonal) diabatic CDFT
electronic wave functions and thus a small electronic coupling.
Figure 4
Excess electron
at the transition state geometry. 4 × 4 ×
1 supercell excess spin density for electronic ground state, obtained
from DFT calculations (left column) and for the diabatic initial (middle
column) and final electron transfer states (right column). The diabatic
states are obtained from CDFT with a spin constraint on the two Fe
atoms as indicated, see Figure for atom labeling. The first row is for electron transfer
over the shortest distance (2.97 Angstroms) and the second to fourth
row for electron transfer over the second shortest distance (5.04
Angstroms). See Table for electron transfer parameters.
Excess electron
at the transition state geometry. 4 × 4 ×
1 supercell excess spin density for electronic ground state, obtained
from DFT calculations (left column) and for the diabatic initial (middle
column) and final electron transfer states (right column). The diabatic
states are obtained from CDFT with a spin constraint on the two Fe
atoms as indicated, see Figure for atom labeling. The first row is for electron transfer
over the shortest distance (2.97 Angstroms) and the second to fourth
row for electron transfer over the second shortest distance (5.04
Angstroms). See Table for electron transfer parameters.Transfers over the next largest distances (5.04 Å between
the centers of excess spin) includes the transitions: (0,2)-(1,6);
(0,2)-(1,7); and (0,1)-(5,11) as shown in Figure . The highest coupling is found for combination
(0,2)-(1,6) where the iron t2g orbitals which the excess
electron occupies are orientated parallel. While the combination (0,1)-(5,11)
has the same center of mass distance, the iron atoms do not share
Fe–O bonds as for the other two transition states, and as such
the coupling is the lowest of the three.
Electron
Hole and Electron Mobilities
The three structurally degenerate
states of the hole polaron are
expected to interconvert fast, on the time scale of the high frequency
lattice modes (∼1013 s–1). This
allows us to perform a Boltzmann average over the electronic couplings
and reorganization energy for the nine possible transitions i, with weights proportional to exp(−βλ/4), and use the averages for calculation
of a nearest neighbor hopping rate (eq ). The latter is ∼1012, slow enough
to support degenerate mixing of hole states by phonons. The rates
for second and third nearest neighbor hops are orders of magnitude
smaller showing that only first nearest neighbor hops are important
for hole polaron transport.Table gives the hole mobility for bulk hematite
in the 2D (Fe bilayer) plane at room temperature, calculated by solving
a chemical master equation to get the MSD and diffusion coefficient
(eq ) as by Giannini
et al.[43] Inclusion of the six second nearest
neighbors and three third nearest neighbors of the hole polaron increases
the mobility only from 3.08 × 10–2 to 3.10
× 10–2 cm2/(V s). To the best of
our knowledge this is the first calculation of a mobility tensor in
hematite, which fully accounts for the effect of the 2D conduction
environment.
Table 3
Summary of Results and Comparison
with Literaturea
Hole polaron
Source
Dopant
Hab (meV)
λ (meV)
ΔA‡ (meV)
T (K)
μlit (cm2/(V s))
μ2D (cm2/(V s))
This work
147
752
70
300
3.1 × 10–2
This work
147
752
70
1000
6.1 × 10–2
Cluster HF[18]
200
1590
220
298
1.7 × 10–4
8.3 × 10–5
Estimate[50]
100
300
1 × 10–2
Experiment[51]
Mg
200
1000
9.1 × 10–1b
To facilitate direct comparison,
both the mobility cited in the paper (μlit) as well
as mobilities recalculated using eqs –9 for the 2D plane (μ2D) are provided. Literature results are presented in chronological
ordering by method
Calculated
from fitted mobility
equation given in paper, valid above 923 K.
Calculated in this work from values
in paper.
To facilitate direct comparison,
both the mobility cited in the paper (μlit) as well
as mobilities recalculated using eqs –9 for the 2D plane (μ2D) are provided. Literature results are presented in chronological
ordering by methodCalculated
from fitted mobility
equation given in paper, valid above 923 K.Calculated in this work from values
in paper.We have also examined
finite size effects for the hole polaron,
finding that the smaller 2 × 2 × 1 supercell commonly used
in the literature provides both an underestimate of the electronic
couplings and an overestimate of the reorganization energy and therefore
a lower mobility. This is attributed to the smaller reorganization
of the first coordination shell (“inner sphere”) in
the larger supercell (see SI for more details).For the electron polaron, we consider both the three transitions
over the shortest possible distance and the transition over the next
largest distance having the highest electronic coupling. Due to the
2-site delocalized electron polaron structure, there are only four
symmetry related second nearest neighbors to which the polaron may
hop (see SI Figure 5). This introduces
a similar complication to the hole polaron, that for a single energy
degenerate structure of the electron polaron the mobility is locally
anisotropic. As there are three energy degenerate structures for a
given electron polaron, the overall mobility remains isotropic. The
electron mobility calculated for hopping to first nearest neighbors
is 2.0 × 10–2 cm2/(V s) while for
second nearest neighbors it is 7.8 × 10–2 cm2/(V s), as a consequence of how the coupling for first nearest
neighbors is smaller than for second nearest neighbors due to unfavorable
orientation of orbitals. Combining both first and second nearest neighbor
mobility gives a total mobility of 9.8 × 10–2 cm2/(V s). Hops across larger distances are not expected
to contribute to electron mobility, as the electronic coupling for
those decays very quickly.
Discussion
Table shows a
comparison of our calculated and literature results, with Figure showing this comparison
plotted as mobility against temperature. A direct comparison of different
mobility calculations is difficult due to the different methods used,
and therefore we alleviate this somewhat by comparing to mobilities
obtained according to eqs –9 using the reported literature values
for electronic couplings and reorganization energy.
Figure 5
Electron and hole mobilities
as a function of temperature. Literature
calculated mobilities indicted with solid filled markers, doped experimental
mobilities as unfilled markers. Our results are valid below the Neel
temperature (T = 955 K),[49] indicated with a dashed line. See SI for
an alternate plot where literature calculated mobilities are recalculated
using eqs –9.
Electron and hole mobilities
as a function of temperature. Literature
calculated mobilities indicted with solid filled markers, doped experimental
mobilities as unfilled markers. Our results are valid below the Neel
temperature (T = 955 K),[49] indicated with a dashed line. See SI for
an alternate plot where literature calculated mobilities are recalculated
using eqs –9.Rosso and co-workers[17,18] performed Hartree–Fock
calculations of both hole and electron mobility for small hematite
clusters, considering up to second nearest neighbors. Both their couplings
and reorganization energies tend to be considerably higher resulting
in larger activation energies and lower mobilities for both electrons
and holes. Though, one early estimate reported by Rosso and co-workers[17] for electron mobility is within a factor of
1.6 of our current best estimate. In previous work[26] we attributed the larger reorganization energy of cluster
models to the absence of lattice strain effects present in the bulk
structure, as well as the use of Hartree–Fock calculation which
tends to overbind excess charge.Adelstein et al.[20] and Behara et al.[21] calculated electron mobilities using a similar
periodic supercell approach as in this work but with DFT+U in place
of hybrid CDFT to model the polaronic states. Their reorganization
energies are similar, albeit slightly higher than ours and significantly
smaller than typical values for cluster models. In fact, Behara reported
values for bulk hematite around half of that for the 1D chain.[21] Their electronic coupling values are also very
similar to our estimates, but this is a coincidence, as our electronic
polaronic states are 2-site delocalized whereas theirs are localized
on a single iron atom. The 2-site delocalization also permits larger
transfer distances for a single hop resulting in higher mobilities
than the 1-site localized polaron (see R2 dependence, eq ).
This is partly the reason for the higher electron mobilities that
we obtain in this current work compared to Adelstein et al. and Behara
et al. Interestingly, Adelstein et al. in their calculations did find
that there was some degree of delocalization of the electron polaron
over two iron atoms, identified from both a shorter Fe–Fe bond
length and from the magnetic moment.While other groups have
attempted a justification of their results
via comparison to experiment, this is problematic as there are no
experimental results for the mobility of pure (undoped) hematite.
The available experimental mobilities are all for doped hematite,
sometimes for temperatures above the Neel temperature where hematite
is no longer antiferromagnetic (955 K).[49] Further, as there are no direct measurements of either the reorganization
energy or couplings there are multiple combinations of each that would
compare well with the observed mobilities.The most suitable
experimental data for comparison are probably
the ones reported by Zhao et al.[54] for
electron mobility in 3% and 5% Ti-doped hematite. These values are
within a factor of 2.5 of our computed mobilities for pure hematite,
which is reassuring despite the above-mentioned caveats.
Conclusion
In this work both the electron and hole mobility
has been calculated
for hematite using spin-constrained gap-optimized hybrid density functional
theory with large supercells. Where previous studies have only considered
coupling between a single nearest neighbor or a single orientation
of the polaron, we account for all possible degenerate polaron structures
and coupling with up to third nearest neighbors. In addition, for
the first time the mobility is calculated for the full 2D Fe bilayer
rather than for a 1D model.The CDFT calculations reported herein
provide further evidence
that the excess electron is delocalized over two iron sites and hops
across the hematite crystal as a two-site delocalized polaron. While
the activation energy for these hops is slightly higher, the hopping
distance is larger than for the 1-site localized hole polaron. As
a consequence, the electron mobility is predicted to be a factor of
3 higher than the hole mobility.Charge transport has been identified
as a key issue for the use
of hematite in a number of technological applications, especially
in photocatalysis and photoelectrochemistry.[6,9,11,12] Our study
provides a comprehensive and detailed understanding of the physical
mechanisms that lead to the sluggish transport of charge carriers
in bulk hematite. This sets the scene for similar calculations at
the hematite/liquid water interface, for which we have recently carried
out ab initio molecular dynamics simulations.[55,56] In particular, it will be important to understand if and how the
presence of water at the interface changes the picture obtained for
the bulk material and how this depends on the specific surface cut
under investigation and the protonation state of the surface.[57] Such investigations, which the current work
has now made possible, could help refine models and resolve ongoing
questions, about rate-limiting transport processes governing photocatalytic
water splitting efficiency at hematite/water interfaces.[11,12] Work toward this goal is currently being carried out in our laboratory.We have shown in this work that CDFT is a useful tool for the prediction
of charge mobilities in an ubiquitous oxide material. The method is
generally applicable to semiconducting materials and may be applied
to other oxides of technological interest for the study of intrinsic
charge transfer processes or for charge transfer between defects.
Moreover, the CDFT approach is well suited for the study of interfacial
charge transfer processes between different semiconductors or between
semiconductor electrodes and liquids. It could thus become an essential
tool for the emerging field of ab initio electrochemistry.
Authors: Daniel A Grave; Natav Yatom; David S Ellis; Maytal Caspary Toroker; Avner Rothschild Journal: Adv Mater Date: 2018-03-05 Impact factor: 30.849