Jessica K Bristow1, Davide Tiana1, Aron Walsh1. 1. Centre for Sustainable Chemical Technologies and Department of Chemistry, University of Bath , Claverton Down, Bath BA2 7AY, United Kingdom.
Abstract
We present an ab-initio derived force field to describe the structural and mechanical properties of metal-organic frameworks (or coordination polymers). The aim is a transferable interatomic potential that can be applied to MOFs regardless of metal or ligand identity. The initial parametrization set includes MOF-5, IRMOF-10, IRMOF-14, UiO-66, UiO-67, and HKUST-1. The force field describes the periodic crystal and considers effective atomic charges based on topological analysis of the Bloch states of the extended materials. Transferable potentials were developed for the four organic ligands comprising the test set and for the associated Cu, Zn, and Zr metal nodes. The predicted materials properties, including bulk moduli and vibrational frequencies, are in agreement with explicit density functional theory calculations. The modal heat capacity and lattice thermal expansion are also predicted.
We present an ab-initio derived force field to describe the structural and mechanical properties of metal-organic frameworks (or coordination polymers). The aim is a transferable interatomic potential that can be applied to MOFs regardless of metal or ligand identity. The initial parametrization set includes MOF-5, IRMOF-10, IRMOF-14, UiO-66, UiO-67, and HKUST-1. The force field describes the periodic crystal and considers effective atomic charges based on topological analysis of the Bloch states of the extended materials. Transferable potentials were developed for the four organic ligands comprising the test set and for the associated Cu, Zn, and Zr metal nodes. The predicted materials properties, including bulk moduli and vibrational frequencies, are in agreement with explicit density functional theory calculations. The modal heat capacity and lattice thermal expansion are also predicted.
Metal–organic
frameworks (MOFs), or coordination polymers,
are hybrid materials that display a range of unique properties that
can be used for a variety of applications ranging from gas storage
and catalysis to photovoltaics and drug delivery systems.[1−3] MOFs are formed via the coordination of metals and organic ligands
in a self-assembled manner to create an extended crystalline material.
The number of possible combinations of building blocks is therefore
vast, and the associated crystal structures and properties are often
unpredictable. To reduce efforts spent on refining the optimum conditions
for the synthesis of a particular MOF, and to identify compositions
of particular interest, accurate property predictions from computer
simulations would be highly beneficial.The emerging field of
“materials design” has largely
been based around the application of modern electronic structure techniques,
such as density functional theory (DFT), to predict the structures
and properties of new materials.[4−8] Such approaches are appropriate for high-symmetry close-packed inorganic
materials but are challenging for the large and complex crystal structures
associated with MOFs. For example, a “complex” quaternary
semiconductor such as Cu2ZnSnS4 can be described
using only 8 atoms in its primitive unit cell,[9] while a “simple” MOF can require several hundred atoms.
For example, the popular framework MOF-5 has 106 atoms in its primitive
cell and 424 atoms in its conventional crystallographic cell. A high-quality
calculation of a single MOF poses a heavy computational burden; a
large-scale screening is prohibitively expensive.An alternative
to a direct quantum mechanical treatment, which
usually involves a self-consistent numerical solution of the Kohn–Sham
or Hartree–Fock equations, is the use of an analytical interatomic
potential or force field that can describe a range of properties of
interest.[10,11] An accurate and transferable force field
for MOFs would provide a means of rapidly screening material compositions
and properties for particular applications.A number of initial
MOF force fields have been recently reported.[12−16] These have been mainly fitted for specific MOF structures
that were
highlighted experimentally as possessing functional properties. An
example by Vaduyfhuys et al. is a force field for the Al containing
MIL-53.[17] One common approximation for
MOF potentials, to reduce the complexity of parametrization, is to
fix the atom positions within the unit cell. This approach is generally
used for probing gas adsorption using Grand Canonical Monte Carlo
(GCMC) or Molecular Dynamic (MD) simulations. The advantage is that
the intraframework interactions need not be considered, facilitating
fast screening,[2,18−23] but materials response functions are not described. As an extension
to this approach one can conduct hybrid GCMC and MD calculations to
model structural transitions of flexible MOFs.[24−26]A second
approach is to use a generic force field derived for molecules
such as proteins, hydrocarbons, and common gases; OPLS-aa (Optimized
Potentials for Liquid Simulations—all atom), DREIDING, and
MM3 (Molecular Mechanics 3) are examples of these.[27−29] The application
of generic force fields to MOFs, which consist of both organic and
inorganic components, is highly convenient but approximate. While
large-scale screenings can be again performed,[30,31] complex geometries and interactions are often not modeled with quantitative
accuracy. Recent progress includes UFF4MOF, an extension of the universal
force field (UFF)[30] to describe some common
metal–organic framework motifs.[32]A third common approach to MOF force fields is to construct
representative
finite clusters (fragments) of the full MOF crystals.[33] The advantage is faster derivation with a reduced number
of interaction parameters (and degrees of freedom) in the model. The
disadvantage is that the neglect of periodicity and long-range interactions
is unphysical and standard mechanical, thermal, and dielectric properties
cannot be described in the absence of a sophisticated embedding procedure.In this paper, we report a force field to describe metal–organic
frameworks parametrized by first-principles crystal structures and
electron density. The aim is a transferable potential form suitable
to describe the majority of ligand and metal combinations for MOFs,
including predicting properties of novel compositions. In contrast
to the universal force field approach in which general parameters
not fitted for MOFs and fixed generic charges are employed, we develop
a force field that has been fitted explicitly to the periodic frameworks.
Some initial parameters have been refined from existing force fields
(MM3 and MOF-FF) and the functional format of MM3 is preserved.[34−36] Ligand and metal interatomic potentials are parametrized and validated
across multiple MOF structures and atomic charges are determined based
on topological analysis using Bader’s atom in molecules theory
(AIM)[37] of the equilibrium electron density
from solid-state DFT calculations.
Metal–Organic
Frameworks
We consider six representative MOFs covering three
of the most
common isoreticular frameworks: [MOF-5 (Zn4O(BDC)3), IRMOF-10 (Zn4O(BPDC)3), IRMOF-14 (Zn4O(PDC)3), UiO-66 (Zr6O4(OH)4(BDC)6), UiO-67 (Zr6O4(OH)4(BPDC)6), and HKUST-1 (Cu3(BTC)2)], as illustrated in Figures 1 and 2.
Figure 1
Comparative illustrations of the repeating units of Zn-containing
MOF-5, IRMOF-10 and IRMOF-14 with the organic ligands shown underneath
each structure. Torsion angle (atom types 170-913-902-912) labeled
as x has been highlighted.
Figure 2
Comparative illustrations of the repeating units of Cu-containing
HKUST-1 and Zr-containing UiO-66 and UiO-67 with the organic ligands
shown underneath each structure. Torsion angle (atom types 912-903-903-912)
labeled as y has been highlighted.
Comparative illustrations of the repeating units of Zn-containing
MOF-5, IRMOF-10 and IRMOF-14 with the organic ligands shown underneath
each structure. Torsion angle (atom types 170-913-902-912) labeled
as x has been highlighted.Comparative illustrations of the repeating units of Cu-containing
HKUST-1 and Zr-containing UiO-66 and UiO-67 with the organic ligands
shown underneath each structure. Torsion angle (atom types 912-903-903-912)
labeled as y has been highlighted.MOF-5 was first reported by the group of Yaghi.[38] It is formed of Zn4O clusters and
1,4-benzenedicarboxylate
(BDC) organic ligands. The Zn metal centers are in tetrahedral coordination
with respect to oxygen (Figure 1), which is
similar to the bulk metal oxide. The crystal structure can be described
by its primitive rhombohedral unit cell of dimensions a = 18.289 Å, α = 60.0°. The cubic unit cell of MOF-5
has the associated dimension of a = 25.832 Å
and space group Fm3̅m.[39] The ligands form the edges of the cubic structure
and the metal clusters the corners. Each unit cell contains half the
ligand molecules orientated face-on and half rotated 90° into
the plane. The structures of IRMOF-10 and IRMOF-14 are analogous to
that of MOF-5, differing only in the ligand identity. The organic
ligand comprising IRMOF-10 is 4,4′-biphenyldicarboxylate (BPDC),
whereas for IRMOF-14 it is pyrene-2,7-dicarboxylate (PDC). The cell
parameter for the cubic unit cell of IRMOF-10 is a = 34.281 Å, while IRMOF-14 is a = 34.381 Å.[39]Oxidation refers
to the formal
metal oxidation state, while N refers to the number
of atoms in the unit cell described.Beyond the isoreticular Zn-MOFs, UiO-66, UiO-67, and
HKUST-1 were
also modeled (see Figure 2). UiO-66 is formed
of Zr6O4(OH)4 clusters 12-coordinated
to BDC ligands, such that each Zr ion is in octahedral coordination
with capping η3-OH and η3-O anions.[40,42,43] The cubic cell dimension for
UiO-66, with the space group F4̅3m, is a = 20.978 Å.[40] The crystal structure of UiO-67 is similar but composed of the biphenyl
ligand (BPDC); the extension is analogous to that of MOF-5 to IRMOF-10.
The behavior of the BPDC ligand differs for UiO-67 due to a ligand
twist (labeled y in Figure 2).
First-principles calculations predict the twist across the central
carbon atoms connecting the two aromatic rings to be approximately
31°. UiO-67 also has the space group F4̅3m, with cell dimension a = 27.094 Å.[40,44] The UiO series is of increasing interest for MOF applications due
to their high thermal stability up to 813 K and resistivity to water
decomposition.[45]HKUST-1 differs
in relation to the structures previously discussed.
Here, the ligand is 1,3,5-benzenetricarboxylic acid (BTC), as shown
in Figure 2. This MOF, first reported by Chui
et al.,[41] is of interest not only for its
high gas storage capacities but also for its unique electronic structure
originating from Cu–Cu interactions. The room temperature experimental
crystal structure infers metal–metal separation of 2.63 Å.
The metal nodes in HKUST-1 are Cu, which are in a square planar coordination
resulting in a 3D network with a paddlewheel geometry and three voids
of diameters 5, 11, and 13.5 Å, respectively. Each metal center
has 4 BTC ligands, with additional water coordination in vertical
alignment with the Cu–Cu interaction, resulting in a pseudo-octahedral
geometry for hydrated crystals. The water can be removed and/or substituted
to further expose the metals.[46,47] In this paper, we will
consider only the dehydrated HKUST-1 structure. HKUST-1 has a cubic
crystal symmetry (space group Fm3̅m) with a lattice dimension of a = 26.343 Å.
Table 1 gives a summary of unit cell parameters
of each structure described.
Table 1
Experimentally Determined
Crystal
Structure Parameters of Six Metal–Organic Frameworksa
MOF
metal
oxidation
ligand
space group
a (Å)
N
MOF-5[39]
Zn
II
BDC
Fm3̅m
25.832
424
IRMOF-10[39]
Zn
II
BPDC
Fm3̅m
34.281
664
IRMOF-14[39]
Zn
II
PDC
Fm3̅m
34.381
760
UiO-66[40]
Zr
IV
BDC
F4̅3m
20.978
456
UiO-67[40]
Zr
IV
BPDC
F4̅3m
27.094
684
HKUST-1[41]
Cu
II
BTC
Fm3̅m
26.343
576
Oxidation refers
to the formal
metal oxidation state, while N refers to the number
of atoms in the unit cell described.
In order to provide systematic benchmark data,
electronic structure calculations for the periodic crystals were performed
using DFT as implemented in the VASP (Vienna Ab-Initio Simulation
Package) code.[48,49] All calculations were performed
using the PBEsol functional,[50] which is
a semilocal functional that usually predicts equilibrium structures
in very good agreement with experiment; its success for MOFs has been
well demonstrated.[3,51] Comparison of different exchange-correlation
functionals for a range of materials shows that the structures and
frequencies of PBEsol are among the most accurate currently available
for solids.[52,53]The computational setup
differed between structures due to variations in the unit cell size.
A 2 × 2 × 2 k-point grid was used for the
optimization of UiO-66. Due to the larger unit cells of MOF-5, IRMOF-10,
IRMOF-14, UiO-67, and HKUST-1, only Γ-point sampling was performed.
The quasi-Newtonian relaxation employed for structural optimization
was converged to forces of 0.005 eV/Å or lower. A kinetic energy
cutoff of 500 eV was employed for the plane-wave basis set. Scalar-relativistic
projector-augmented wave (PAW) potentials were used to model the interactions
between the core and valence electrons on each atom, with the 3d electrons treated explicitly for Zn. Effective atomic
charges for each atom type were derived using the AIM theory on the
total electron density (i.e., the sum of the PAW and valence density)
for the optimized structure.[54] Vibrational
frequencies were calculated with Γ-point sampling of the Brillouin
zone using the finite displacement method.
Force
Field Parametrization and Testing
The functional form of
MM3 is maintained in our parametrization.
Thus, the overall energy expression iswhere str
= stretch, tor = torsion, opb =
out of plane bend, Coul = Coulomb, and vdW = van der Waals interactions
and where the usual bond stretching and bending modes are described,
in addition to longer range van der Waals (dispersion) and Coulombic
interactions. Nonbonding interactions were calculated using the Buckingham
equation:vdW radii and ε values are given in
Table 4. Default values for the A, B, and C constants were used
(184000.0, 12.0, 2.25, respectively) as defined in TINKER.
Table 4
van der Waals Radii
and ε Values
Used for the Transition Metals within the MOF Structuresa
elements
vdW radii (Å)
ε (kcal mol–1)
Zn
2.290
0.276
Cu
2.290
0.276
Zr
3.520
0.367
Epsilon refers
to the polarizability
of the atoms, which is an energy term within the van der Waals function
in the MM3 format (eq 1).
The
MM3 force field has been shown to recreate organic systems accurately
and, more recently, has been applied to MOF structures.[33−36,55] The TINKER package[56,57] contains the full set of the MM3 force field parameters and has
a range of capabilities for crystal structure and property calculations.
The XTALMIN program inside of TINKER was used to apply periodic boundary
conditions allowing the full crystal to be modeled and optimized.
The internal positions are described using connectivity (in the absence
of space group symmetry). When considering the interaction between
organic and inorganic building blocks both “bonding”
and “nonbonding” contributions were included. Atom types
were assigned based on the element and the environment of the crystal.
The reparameterization of the MM3 force field include the terms describing
the carboxylic head and interaction between metal node and ligand.
New parameters were also derived for the metal node, particularly
for the metal–inorganic oxygen interaction. TINKER default
values of the Buckingham potentials were used in association with
Coulomb long-range terms to describe nonbonding interactions.Vibrational frequencies were calculated at the Γ-point using
the VIBRATE program, and bulk moduli with the DYNAMIC program in the
TINKER package through molecular dynamic simulations. A series of
Canonical (NVT) ensemble calculations were employed to fix the unit
cell volume at 1 K with negligible kinetic energy contribution. Unit
cell volumes were sampled every 0.01 Å for ±1% from the
equilibrium volume (V0). Simulations were
run for 250 000 dynamic steps with a time step of 1 fs at 1
atm with an Ewald cutoff of 11 Å. Constant temperature of the
system was maintained with a Nosé–Hoover thermostat.
The Velocity Verlet algorithm was used to integrate the Newton equations.
Average values of the potential energy were taken from the final 50
ps (500 dynamic steps). The bulk moduli (B0) of each structure was calculated using the isothermal Birch–Murnaghan
equation of state (eq 3). Data processing was
implemented in Octave using the Asturfit program, which performs a
least-squares fit to the Birch–Murnaghan equation of state.[58,59]Linear (α) (eq 4) and volumetric (β)
(eq 5) thermal expansion coefficients were calculated
from a series of anisotropic isothermal–isobaric (NPT) ensemble
calculations. The Berendensen bath coupling method was used as a barostat
to maintain defined pressures. The temperatures were sampled at 1
K and between 80–500 at 50 K increments with 500 K as an additional
temperature point. The program DYNAMIC was used to calculate the average
lattice parameters over 50 ps following equilibration for 200 ps.For isotropic expansion 3
× α = β; this relationship
was used when calculating the volumetric thermal coefficients from
the linear thermal coefficients. The value of the lattice parameter a when calculating the linear thermal expansion coefficient
was taken as the average of the 298 K MD simulation and ∂a/∂T is the average slope over the
temperature range 80–500 K.Finally, isochoric heat capacities
(CV) were calculated within the harmonic
approximation from the vibrational
frequencies of each structure for temperatures ranging between 80
and 500 at 50 K intervals using the standard (Einstein) phonon summation:
Molecular versus Periodic Charges
One distinction of
our MOF potential is the choice of effective atomic
charges. When deriving effective charges the core atomic density is
often not considered due to the use of a pseudopotential or effective
core potential. This leads to a systematic error in the calculation
of the atomic surfaces, making bonds appear more ionic in nature.[60] With the PAW method, we can reconstruct the
total charge density of the system as a sum of the valence and PAW
density. The effective charges derived from topological analysis of
charge density for different structural representations of MOF-5,
including those of BTW-FF (with and without the core density) are
listed in Table 2.
Table 2
Comparative
Bader Charges Derived
for a Small Cluster (SC) (79 Atom, Zn4O13C42H30) and Large Cluster (LC) (328 Atom, Zn32O104C120H72) of MOF-5 Compared
with Those Derived for the Periodic System Used in the BTW-FF and
UFF Modelsa
Bader
charges (au)
atom type
element
BTW-FFinc.core
BTW-FFexc.core
SC
LC
UFF
172
Zn
1.281
1.408
1.291
1.291
1.308
913
C (acid)
1.497
2.683
1.558
1.536
1.912
912
C (benz)
–0.053
–0.011
–0.058
–0.055
1.912
902
C (C–Cacid)
–0.008
–0.007
0.010
–0.003
1.912
170
O (acid)
–1.151
–1.768
–1.195
–1.168
–2.300
171
O (inorganic)
–1.115
–1.336
–1.171
–1.207
–2.300
915
H (H–C)
0.126
0.083
0.090
0.123
0.712
Also given are the periodic charges
with and without the inclusion of core density. Charges are given
in atomic units.
Also given are the periodic charges
with and without the inclusion of core density. Charges are given
in atomic units.Analysis
of data first confirms the importance of including core
charges for MOFs. The differences are large, especially for the carboxylic
head of the ligand. Second, comparing charges derived from the Bloch
states versus finite molecular orbitals, we show that similar results
can be obtained when a large cluster is used. In contrast, the standard
molecular UFF parametrization has a more ionic description with charges
larger in magnitude for all atoms.
Results
To begin, topological analysis of charge density of the equilibrium
MOF structures from the electronic structure calculations was performed
to obtain the effective atomic charges to be used in the force field.
The values are presented in Table 3. Comparable
charges were derived for MOF-5, IRMOF-10, and IRMOF-14, and also for
UiO-66 and UiO-67. The higher charge of Zr is consistent with its
higher oxidation state. Similar derived charges for each atom type
allowed average charges to be used, resulting in a fully transferable
model, analogous to that of an UFF implementation.
Table 3
Atomic Charges Derived Via Topological Analysis for Each Atom Type in Each MOFa
effective
atomic charges (au)
element
atom type
MOF-5
IRMOF-10
IRMOF-14
UiO-66
UiO-67
HKUST-1
avg. charges
C (benz)
912
–0.054
–0.046
–0.044
–0.058
–0.060
–0.023
–0.050
C (acid)
913
1.497
1.538
1.538
1.576
1.548
1.540
1.539
C (Cbenz–Cacid)
902
0.008
–0.028
0.051
–0.056
0.006
–0.011
–0.008
C (Cbenz–Cbenz′)
903
–0.012
–0.035
–0.024
O (acid)
170
–1.151
–1.163
–1.156
–1.181
–1.182
–1.091
–1.154
O (inorganic)
171
–1.115
–1.214
–1.224
–1.189
–1.881
–1.186
O (O–H)
75
–1.242
–1.244
–1.243
H (H–C)
915
0.126
0.105
0.092
0.129
0.096
0.158
0.118
H (H–O)
21
0.622
0.623
0.622
metal
1.281
1.295
1.297
2.601
2.610
1.036
1.291 (Zn), 2.605 (Zr)
Atomic charges
are given in atomic
units and total average charges of all structures are given.
The values
used for the van der Waals radii and polarizability
(ε) parameters describing the nonbonding interactions in each
structure are given in Table 4. The derived parameters of Zn and Cu are similar to those
derived by Schmid et al.[34] Zr is heavier
and its higher oxidation state in UiO-66 results in greater polarizability;
hence, its values are larger. The Zr parameters are similar to those
already used within inorganic crystals.[61]The final set of force field parameters to describe all MOFs
reported
here are included as Supporting Information (SI) and an online repository, which will be updated with future
potentials.[62]
IRMOF
Series
The lattice parameter
agreement between the equilibrium BTW-FF and DFT (PBEsol) structures
is very good (errors of less than 1%). The full internal structural
parameter comparison for MOF-5, IRMOF-10, and IRMOF-14 is provided
as SI. Atom type assignment is shown in
Figure 3.
Figure 3
Atom type definitions used for MOF-5/IRMOF-10/IRMOF-14.
Atom type definitions used for MOF-5/IRMOF-10/IRMOF-14.An interesting observation was
made when deriving the potentials
for both MOF-5 and IRMOF-10. Initial parametrization resulted in slightly
distorted ligand structures with a nonplanar torsion angle occurring
between the O-C(carb)-C(phen)-C(phen) (170-3-902-2) (labeled as x in Figure 1). For comparison a DFT(PBEsol)
calculation was run starting from a 2.73° angle, where the equilibrium
structure gave a distortion of 1.04°. Our data suggests that
the ground-state of the ligands in MOF-5, IRMOF-10, and IRMOF-14 is
slightly distorted, with a space group of lower symmetry than the
average one identified at room temperature. This distortion is likely
to fluctuate at higher temperatures, with an average structure that
is planar (double well potential). The force field parameters presented
contain a torsion potential to suppress this distortion and recreate
experimental data; however, it can be removed without disrupting the
remainder of the framework.Atomic charges
are given in atomic
units and total average charges of all structures are given.Epsilon refers
to the polarizability
of the atoms, which is an energy term within the van der Waals function
in the MM3 format (eq 1).
UiO-Series
Compared
to the IRMOF
series, the structural fit of UiO-66 and UiO-67 proved more challenging
to converge. The equilibrium lattice constants are within 0.51% of
the DFT(PBEsol) values. The ligand potentials used to model the IRMOF
structures are transferable to UiO-66 and UiO-67 with small errors
in bond lengths and angles (see SI). Atom
type assignments are shown in Figure 4. The
results and the error associated with the Zr–inorganic oxygen
bond (2.23 and 2.67% in UiO-66 and UiO-67, respectively) suggest a
more robust nonbonding interaction for these bonds may be required
to improve the overall accuracy of the models (e.g., higher-order
multipoles in the electrostatic summations).
Figure 4
Definition of atom types for UiO-66 and UiO-67.
To stress the close
relationship between MOF-5 and UiO-66, the ligand potentials for the
BDC ligand remained unchanged between the structures. This is also
the case for IRMOF-10 and UiO-67. The one exception is that in order
to recreate the 31° twist across the central bond of the biphenyl
ligand within UiO-67, the applied k-force for the
torsion (912-903-903-912 atom types) was reduced. The resultant twist
of UiO-67 was 32.2°. The Zr potential is fully transferable between
UiO-66 and UiO-67.Definition of atom types for UiO-66 and UiO-67.
HKUST-1
The equilibrium lattice constants
of HKUST-1 show errors of less than 0.1%, with the internal structure
parameters also well described (see SI).
See Figure 5 for atom type assignment. The
nature of the Cu–Cu bonding is somewhat in debate; chemically
each Cu ion is formally divalent (d9)
and the unpaired spin form open-shell and closed-shell singlets, as
well as a (ferromagnetic) triplet state.[63,64] Here, it was necessary to model Cu–Cu as 5 coordinate, that
is, bonded to 4 carboxylic acid oxygens in the equatorial positions
and 1 Cu in the axial position. Reasonable k-force
was required to model this metal–metal interaction. Future
work could extend these HKUST-1 potentials to include water coordination
as described in the introduction of this paper to form a pseudo Cu
octahedral environment.
Figure 5
Definition of atom types for HKUST-1.
Definition of atom types for HKUST-1.
Property
Calculations
To validate
the accuracy and transferability of the potential model beyond equilibrium
structures, a series of materials property calculations have been
performed. We have determined the bulk moduli and vibrational frequencies
for each structure using our force field and compared these to available
reference data. These properties are extremely computationally expensive
to calculate on the DFT potential energy landscape but are straightforward
using our potential model.The calculated bulk moduli are given
in Table 5, with the energy/volume curves provided
in Figure 6. An excellent agreement with reference
values for all structures besides UiO-66 is shown. The trends in the
obtained bulk moduli of the MOFs is also consistent with available
experimental and DFT calculated values. UiO-66 appears to be an unique
case due to the large increase in mechanical strength for UiO-66 when
comparing this value with the structurally similar UiO-67. To our
knowledge, experimental values for the bulk modulus of UiO-66 are
not available currently to provide a definitive reference. The large
difference between the bulk moduli of MOF-5 and UiO-66 is due to the
coordination and oxidation state differences of the metal centers
in either structure. In MOF-5 the metals are 4-coordinate and formally
Zn2+ and in UiO-66 the metals are 6-coordinate with 6 further
capping ligands to create a total outer coordination of 12. In addition,
the formal oxidation state of the metals in UiO-66 is Zr4+. UiO-66 can therefore be considered as being formed of stronger
interactions, which increase the mechanical strength of the material.
Table 5
Bulk Moduli of MOF-5, IRMOF-10, IRMOF-14,
UiO-66, UiO-67, and HKUST-1a
MOF
Bulk moduli (GPa)
BTW-FF
Reference
MOF-5
11.95
18.20[65]
IRMOF-10
8.25
6.00[66]
IRMOF-14
8.40
5.90[66]
UiO-66
27.15
41.01[65]
UiO-67
19.15
17.15[65]
HKUST-1
25.05
24.53[65]
Values reported are those using
BTW-FF and available reference data from DFT calculations. Reference
calculations used Density Functional based Tight Binding (Kuc et al.)[66] and PBE functional (Wu et al.).[65] Note that the bulk modulus is related to the second derivatives
of the energy with respect to volume and hence is sensitive to the
theoretical approach.
Figure 6
Energy/volume
curves for MOF-5, IRMOF-10, IRMOF-14, UiO-66, UiO-67
and HKUST-1, from which the bulk moduli were derived via an equation
of state.
Values reported are those using
BTW-FF and available reference data from DFT calculations. Reference
calculations used Density Functional based Tight Binding (Kuc et al.)[66] and PBE functional (Wu et al.).[65] Note that the bulk modulus is related to the second derivatives
of the energy with respect to volume and hence is sensitive to the
theoretical approach.Energy/volume
curves for MOF-5, IRMOF-10, IRMOF-14, UiO-66, UiO-67
and HKUST-1, from which the bulk moduli were derived via an equation
of state.It should be noted that the bulk
modulus of a material is temperature
dependent. Direct comparison with experimental data is therefore not
often appropriate when discussing accuracy to athermal calculations.[67] Furthermore, where values from other DFT studies
are compared, it should be remembered that these values are sensitive
to the choice of functional, where the bulk modulus is proportional
to the equilibrium cell volume, that iswhere standard local and semilocal functionals
can produce large errors.Vibrational frequencies were calculated
and compared with those
from DFT (PBEsol) (see Figure 7). A generally
good agreement is found for all structures. There are, however, frequencies
in the 1900 cm–1 to 3000 cm–1 range
for UiO-67 and IRMOF-10, which are not calculated with DFT. We can
assign these anomalous modes to stretches involving the central C–C
bond (atom types 903-903). The force constants involving the connection
of this central bond were strengthened to prevent the previously discussed
carboxylate head twisting distortion occurring. Further additional
modes for UiO-67 and also for UiO-66 were predicted by BTW-FF in the
same frequency region. Analysis of the associated eigenvectors confirms
these to be due to stretching modes within the Zr–O(O–H)
(atom types Zr-75) bonds. These bonds have the largest error (2.23%
and 2.67% for UiO-66 and UiO-67, respectively, Supporting Information Table S2) when compared to the equilibrated
DFT structure. HKUST-1 was not included in the vibrational frequency
analysis as the DFT proved to be too expensive to compute due to the
larger crystal structure. It should be noted that soft modes associated
with the carboxylate torsion of the ligands were present in all cases.
This torsion has previously been described and labeled as x in Figure 1.
Figure 7
Γ-point vibrational frequencies between
500–3500 cm–1 for MOF-5, IRMOF-10, IRMOF-14,
UiO-66, UiO-67, and
HKUST-1. DFT calculated (left) and BTW-FF calculated (right). Note:
DFT (PBEsol) frequencies for HKUST-1 could not be computed owing to
the computational expense.
As a further analysis,
we compare the vibrational frequencies of
the IRMOF and UiO-series with DFT (B3-LYP) data previously reported
and analyzed by Civalleri et al. and Valenzano et al. for the respective
series of structures (Table 6 and Table 7).[44,68] Assignment of the vibrational
frequencies for prominent stretching and bending modes shows an excellent
agreement in our reported results using BTW-FF and those from DFT
(B3-LYP). This agreement further supports the accuracy of our model.
Table 6
Assigned Vibrational Frequencies (ω)
for MOF-5, IRMOF-10, and IRMOF-14a
ω
(cm–1)
description
DFT (MOF-5)
MOF-5
IRMOF-10
IRMOF-14
Oacid–Zn–Oacid bend
114
111
123
136
Zn–Oinorganic–Zn bend
136
174
181
178–179
Zn–Oacid–Cacid bend
263
283
302–305
284
Zn–Oinorganic asymmetric stretch
512
497
497–498
493
Zn–Oacid symmetric stretch
579
558
544–575
545–565
Zn–Oacid asymmetric stretch
606
563–568
590–602
575–590
Cacid–Oacid symmetric stretch
1421
1394
1471–1473
1355–1382
Reference DFT
calculations B3-LYP
level of theory in the CRYSTAL code (Civalleri et al.). Reported DFT
values are for MOF-5.[68]
Table 7
Assigned Vibrational Frequencies (ω)
for UiO-66 and UiO-67a
ω
(cm–1)
description
DFT (UiO-66)
UiO-66
UiO-67
Zr–Oacid asymmetric
stretch
556
558
593
μ3–O stretch
673
671–672
667–671
O–H bend
771, 814
778–779, 810–812
872
Cacid–Oacid symmetric stretch
1408
1380, 1408
1363
Reference DFT calculations B3-LYP
level of theory in the CRYSTAL code (Valenzano et al). Reported DFT
values are for UiO-66.[44]
Reference DFT
calculations B3-LYP
level of theory in the CRYSTAL code (Civalleri et al.). Reported DFT
values are for MOF-5.[68]Occupation of the lattice phonons
at finite temperatures leads
to changes in the crystal structure parameters. Linear and volumetric
thermal expansion coefficients have been calculated to determine the
change in unit cell size with increasing temperature. Many MOFs are
known to contract with increasing thermal energy due to transverse
vibrational modes of the ligands. Details describing the causes of
negative thermal expansion in solid materials are detailed in a referenced
review.[69] The phenomenon is not to be confused
with structural changes that occur following the evacuation of internal
solvent molecules.Reference DFT calculations B3-LYP
level of theory in the CRYSTAL code (Valenzano et al). Reported DFT
values are for UiO-66.[44]Γ-point vibrational frequencies between
500–3500 cm–1 for MOF-5, IRMOF-10, IRMOF-14,
UiO-66, UiO-67, and
HKUST-1. DFT calculated (left) and BTW-FF calculated (right). Note:
DFT (PBEsol) frequencies for HKUST-1 could not be computed owing to
the computational expense.Thermal
expansion profiles for MOF-5, IRMOF-10, IRMOF-14, UiO-66,
UiO-67, and HKUST-1. In contrast to standard quasi-harmonic approaches,
molecular dynamic simulations include high order anharmonicity from
phonon–phonon interactions. Shown is the difference in a parameter at a given temperature, with respect to the a parameter at 1 K. Error bars indicate the variation in
the lattice constants at each temperature due to thermal fluctuations.Negative thermal expansion was
calculated for each structure as
shown by the thermal expansion coefficients (Table 8). The extent of unit cell contraction with temperature is
shown in Figure 8. IRMOF-10 experiences the
greatest thermal contraction due to bending modes of the biphenyl
ligand. IRMOF-14 and MOF-5, although containing the same metal node
as IRMOF-10, have more rigid ligands and therefore contract less with
temperature. The UiO series contract the least due to the high charge
on the Zr metal node resulting in a rigid extended structure. The
influence of the charge on the metal is highlighted by the difference
in behavior of UiO-67 and IRMOF-10. These structures contain the same
ligand, but due to the higher ionicity of UiO-67, soft bending modes
of the biphenyl ligand are no longer present. The final structure,
HKUST-1 also exhibits very weak negative thermal expansion at high
temperatures. A low charge was calculated on the Cu metal centers
(Table 3) suggesting that HKUST-1 exhibits
harder structural properties due to the rigidity of the tricarboxylate
ligand and not increased ionicity. Calculated values are consistent
with those previously found from experiment and MD simulations.[70−72]
Table 8
Calculated Linear (α) and Volumetric
(β) Thermal Expansion Coefficients of MOF-5, IRMOF-10, IRMOF-14,
UiO-66, UiO-67, and HKUST-1
MOF
α (×10–6) (K–1)
β (×10–6) (K–1)
MOF-5
–5.27
–15.80
IRMOF-10
–8.11
–24.32
IRMOF-14
–4.95
–14.86
UiO-66
–1.04
–3.11
UiO-67
–2.22
–6.66
HKUST-1
–3.18
–9.53
Figure 8
Thermal
expansion profiles for MOF-5, IRMOF-10, IRMOF-14, UiO-66,
UiO-67, and HKUST-1. In contrast to standard quasi-harmonic approaches,
molecular dynamic simulations include high order anharmonicity from
phonon–phonon interactions. Shown is the difference in a parameter at a given temperature, with respect to the a parameter at 1 K. Error bars indicate the variation in
the lattice constants at each temperature due to thermal fluctuations.
Finally, volumetric heat capacities were calculated at constant
volume from the vibrational frequencies (eq 6) for each structure under the harmonic approximation. The heat capacity
describes the energy required to increase the temperature of a material
by a given quantity and is determined from the changes in vibrational
occupancy with increasing temperature. The values plateau at relatively
low temperatures (200–300 K) suggesting low Debye temperatures
(Figure 9). Unfortunately, little experimental
data is available on the heat capacity of MOFs to date for comparison.
Figure 9
Temperature
dependence of the predicted volumetric heat capacities
for MOF-5, IRMOF-10, IRMOF-14, UiO-66, UiO-67, and HKUST-1.
Conclusions
We have parametrized a new interatomic
potential to describe the
crystal structures and properties of metal–organic frameworks.
The force field is shown to accurately reproduce the structural parameters
of MOF-5, IRMOF-10, IRMOF-14, UiO-66, UiO-67, and HKUST-1. The ligand
parameters are transferable between the Zr and Zn frameworks and are
expected to be valid for other systems of interest. Bulk moduli and
vibrational frequencies have been calculated and are in agreement
with calculations on the DFT (PBEsol) potential energy surface. Finally,
we highlighted the importance of periodic boundaries when deriving
empirical parameters for MOFs. Future work will concern extending
this model to other systems and extending the range of materials response
functions that can be calculated for hybrid frameworks.Temperature
dependence of the predicted volumetric heat capacities
for MOF-5, IRMOF-10, IRMOF-14, UiO-66, UiO-67, and HKUST-1.
Authors: A Alec Talin; Andrea Centrone; Alexandra C Ford; Michael E Foster; Vitalie Stavila; Paul Haney; R Adam Kinney; Veronika Szalai; Farid El Gabaly; Heayoung P Yoon; François Léonard; Mark D Allendorf Journal: Science Date: 2013-12-05 Impact factor: 47.728
Authors: A Ozgür Yazaydin; Randall Q Snurr; Tae-Hong Park; Kyoungmoo Koh; Jian Liu; M Douglas Levan; Annabelle I Benin; Paulina Jakubczak; Mary Lanuza; Douglas B Galloway; John J Low; Richard R Willis Journal: J Am Chem Soc Date: 2009-12-30 Impact factor: 15.419
Authors: Arni Sturluson; Melanie T Huynh; Alec R Kaija; Caleb Laird; Sunghyun Yoon; Feier Hou; Zhenxing Feng; Christopher E Wilmer; Yamil J Colón; Yongchul G Chung; Daniel W Siderius; Cory M Simon Journal: Mol Simul Date: 2019 Impact factor: 2.178
Authors: S M J Rogge; A Bavykina; J Hajek; H Garcia; A I Olivos-Suarez; A Sepúlveda-Escribano; A Vimont; G Clet; P Bazin; F Kapteijn; M Daturi; E V Ramos-Fernandez; F X Llabrés I Xamena; V Van Speybroeck; J Gascon Journal: Chem Soc Rev Date: 2017-06-06 Impact factor: 54.564
Authors: Matthew Witman; Sanliang Ling; Sudi Jawahery; Peter G Boyd; Maciej Haranczyk; Ben Slater; Berend Smit Journal: J Am Chem Soc Date: 2017-04-10 Impact factor: 15.419
Authors: Amir H Farmahini; Shreenath Krishnamurthy; Daniel Friedrich; Stefano Brandani; Lev Sarkisov Journal: Chem Rev Date: 2021-08-10 Impact factor: 60.622
Authors: Jessica K Bristow; Katrine L Svane; Davide Tiana; Jonathan M Skelton; Julian D Gale; Aron Walsh Journal: J Phys Chem C Nanomater Interfaces Date: 2016-04-12 Impact factor: 4.126