Duvalier Madrid-Úsuga1,2, Alejandro Ortiz1,3, John H Reina1,2. 1. Centre for Bioinformatics and Photonics-CIBioFi, Universidad del Valle, Calle 13 No. 100-00, Edificio E20 No. 1069, 760032 Cali, Colombia. 2. Quantum Technologies, Information and Complexity Group-QuanTIC, Departamento de Física, Universidad del Valle, 760032 Cali, Colombia. 3. Heterocyclic Compounds Research Group-GICH, Departamento de Química, Universidad del Valle, 760032 Cali, Colombia.
Abstract
Solar cells based on organic compounds are a proven emergent alternative to conventional electrical energy generation. Here, we provide a computational study of power conversion efficiency optimization of boron dipyrromethene (BODIPY) derivatives by means of their associated open-circuit voltage, short-circuit density, and fill factor. In doing so, we compute for the derivatives' geometrical structures, energy levels of frontier molecular orbitals, absorption spectra, light collection efficiencies, and exciton binding energies via density functional theory (DFT) and time-dependent (TD)-DFT calculations. We fully characterize four D-π-A (BODIPY) molecular systems of high efficiency and improved J sc that are well suited for integration into bulk heterojunction (BHJ) organic solar cells as electron-donor materials in the active layer. Our results are twofold: we found that molecular complexes with a structural isoxazoline ring exhibit a higher power conversion efficiency (PCE), a useful result for improving the BHJ current, and, on the other hand, by considering the molecular systems as electron-acceptor materials, with P3HT as the electron donor in the active layer, we found a high PCE compound favorability with a pyrrolidine ring in its structure, in contrast to the molecular systems built with an isoxazoline ring. The theoretical characterization of the electronic properties of the BODIPY derivatives provided here, computed with a combination of ab initio methods and quantum models, can be readily applied to other sets of molecular complexes to hierarchize optimal power conversion efficiency.
Solar cells based on organic compounds are a proven emergent alternative to conventional electrical energy generation. Here, we provide a computational study of power conversion efficiency optimization of boron dipyrromethene (BODIPY) derivatives by means of their associated open-circuit voltage, short-circuit density, and fill factor. In doing so, we compute for the derivatives' geometrical structures, energy levels of frontier molecular orbitals, absorption spectra, light collection efficiencies, and exciton binding energies via density functional theory (DFT) and time-dependent (TD)-DFT calculations. We fully characterize four D-π-A (BODIPY) molecular systems of high efficiency and improved J sc that are well suited for integration into bulk heterojunction (BHJ) organic solar cells as electron-donor materials in the active layer. Our results are twofold: we found that molecular complexes with a structural isoxazoline ring exhibit a higher power conversion efficiency (PCE), a useful result for improving the BHJ current, and, on the other hand, by considering the molecular systems as electron-acceptor materials, with P3HT as the electron donor in the active layer, we found a high PCE compound favorability with a pyrrolidine ring in its structure, in contrast to the molecular systems built with an isoxazoline ring. The theoretical characterization of the electronic properties of the BODIPY derivatives provided here, computed with a combination of ab initio methods and quantum models, can be readily applied to other sets of molecular complexes to hierarchize optimal power conversion efficiency.
The
intensive exploitation of energy resources, the growth of global
demand for energy, and the associated environmental crisis, e.g.,
the increase of fossil fuel consumption, are concerns that require
immediate attention and evidence the need for alternative sources
of renewable energy to avoid further impact on climate change. In
this sense, the metal-free organic solar cells (OSCs) are potential
candidates to aid in this task. During the past two decades, organic
solar cells have attracted much attention due to their quick improvement
of photovoltaic properties and environmental and economic advantages;
these include low-cost fabrication, lightweight, mechanical flexibility,
high versatility due to applications in many fields, and the simplicity
of the synthesis process.[1−3] The improvement of organic materials’
photophysical capabilities of a new hole transporting material (HTM)
and electron transporting material (ETM), which constitute the photoactive
components in organic photovoltaic (OPV) cell devices, can increase
the performance of such solar energy conversion materials.[4−8] Thus, BODIPY–fullerene derivative synthesis becomes a valuable
alternative to compose hole and electron transporting materials. This
is so, since, as an acceptor component, the fullerene promotes the
presence of many closely spaced electronic levels and a high degree
of delocalized charge within an extended π-conjugated structure,
as well as a low reorganization energy, making these molecular assemblies
ideal for acting as electron transporting materials in the charge-separation
state.[9−11]Recently, among the commonly used artificial
photosynthetic chromophores,
the boron dipyrromethene (BODIPY) compounds have been of particular
interest due to their extraordinary spectral and electronic properties
as well as their high absorption coefficients and high emission quantum
yields. This leads to an extensive use of BODIPY structures as building
blocks for both nanoantenna systems and charge-separation units.[12−15] The BODIPY dyes open the possibility to extend the absorption cross-section
over a wide spectral range of OPV devices, e.g., BODIPY-C60 dyads.[16,17] Consequently, they have been used in applications
involving the development of sensors, photodynamic therapy agents,
light-energy-harvesting systems,[18,19] and protein
markers, to cite a few.[20,21]In general, the
absorption spectra in the near-infrared region
motivate the adoption of BODIPY as materials for OSC integration.[22] However, few works in the literature show the
derivatives of BODIPY and BODIPY–fullerene in the active layer
at the construction of photovoltaic devices, among which we find a
derivative of BODIPY and PCBM that is used as an active layer in heterojunction
solar cells, reaching a PCE of 1.34% in 2009.[23] In 2016, Liao et al. synthesized and characterized different molecules
based on BODIPY and implemented an OSC, using PC61BM as
an electron-acceptor material, with a PCE of 2.15%.[4] In 2017, Singh et al. reported a higher efficiency of 7.2%
for an OSC built with BODIPY-DTF and PC61BM.[24]Despite the low PCE values for these OSCs
compared to those of
the amorphous silicon/crystalline silicon heterojunction cells (PCE
around 26.63%), the bulk heterojunction (BHJ) organic solar cells,
including conjugated polymers and BODIPY and BODIPY–fullerene
derivatives, provide an effective solution for the roll-to-roll production
and the fabrication on flexible substrates.[25,26] This said, higher power conversion efficiencies in BHJ solar cells
require a morphology that delivers electron and hole percolation pathways
to optimize the electronic transport, including a donor–acceptor
contact area high enough to form a charge-transfer state near the
unit. This constitutes a significant structural challenge, particularly
for semiconductor polymer–fullerene systems.[27] Then, it becomes a necessity to provide information on
molecular systems within the BHJ organic solar cells that can improve
the energy conversion potential in such structures.In this
work, we propose novel molecular systems derived from BODIPY–fullerene
(see Figure ), which
exhibit experimental evidence of intramolecular electron transfer
processes as D−π–A materials.[6,28,29] By means of Scharber’s model, we
were able to compute the PCE and estimate the maximum conversion efficiency
(under ideal conditions), thus establishing some working conditions
for application to photovoltaic devices.
Figure 1
Molecular chromophores
under study. For simplicity, we have labeled
the complexes as , , , and .
Molecular chromophores
under study. For simplicity, we have labeled
the complexes as , , , and .
Results
and Discussion
Molecular Systems and Computational Results
In the
development of the criteria described here, we consider the molecular
systems reported in refs (6, 28), and (29) (see Figure ). These exhibit
experimental parameters already measured, which allow for a direct
comparison with our theoretical results via the calculation of observables
such as electronic energy levels, absorption spectra, charge-transfer
states, and others. The molecules under consideration are shown in Figure ; we have termed
them as follows: , , , and . The calculations involve the use
of the density functional theory (DFT) with a B3LYB exchange–correlation
functional[30] and the base set 6–311G(d,p).
These allow the investigation of the ground-state optimization geometry
of the electron-acceptor and electron-donor components and the prediction
of the frontier molecular orbital energies.[31,32]The excitation energy, the absorption spectral electronic
coupling, the oscillator strength, and the charge-transfer state of
the systems shown in Figure are based on the time-dependent density functional theory
(TD-DFT) with a hybrid CAM-B3LYP functional. In the ground state,
the geometrical configurations were completely optimized with DFT,
while the excited state was optimized via TD-DFT. The molecular environment
influence was modeled as a dielectric medium by employing a conductor-like
polarization continuum model (C-PCM).[33,34] The C-PCM
is regularly used to recognize the solvation, which indicates the
solvent effects in the molecular complex. Here, the polarity effects
on the molecular photophysics are modeled on the basis of considering
(polar) methanol and (nonpolar) toluene as dissolvents, which are
characterized by the dielectric constants εM = 32.6130
and εT = 2.3741, respectively.There are different
methods to determine the electronic properties
of organic molecules. Here, we specialize in the DFT Kohn–Sham
energy levels, while the highest occupied molecular orbital (HOMO)
level can be related to the ionization potential according to Janak’s
theorem.[35] Nevertheless, we remark that
the results will markedly rely on the employed functional.
Transport
Properties
Charge-Transfer States
The charge-transfer (CT) states
between the electron-donor and electron-acceptor parts in the molecular
system have a fundamental role in organic solar-cell operation. Thus,
a better understanding of CT intramolecular processes is expected
to optimize the organic photovoltaic (OPV) materials, improving the
device performance[36,37] toward the CT state control.
Although electronic excitations on individual molecules are well characterized,
a thorough description of CT states is still missing. The challenge
to analyze the CT states arises from the multiple factor dependences,
such as the molecular geometry, the nature of the pure and mixed donor/acceptor
domains, and the interaction with the surrounding polar or nonpolar
environment. At the electronic structure level, all of these factors
can influence the electron polarization and extend the electronic
delocalization having a strong influence on the energy and nature
of the CT state.[38]The intramolecular
electron transfer process involves the following: the system is initially
photoexcited from the ground electronic state to π–π*
states (|ψD⟩) primarily localized on either place in
the donor part. A nonradiative CT process then occurs at a later stage,
corresponding to an electronic transition from the |ψD⟩ state to the CT state (|ψA⟩) involving
a significant CT from donor to acceptor. Once such electron dynamics
is known, we employ density functional theory (DFT) to determine the
electronic ground state and the time-dependent density functional
theory (TD-DFT) to calculate the excited states as well as the geometry
and energy by the electrostatic environment affected in CT states.
From a quantum mechanical viewpoint, the understanding of this kind
of process may help in improving the power conversion efficiency.
Our principal concern is then to observe and understand the effects
due to the solvent polarity and geometry of the molecular complexes
on the electronic and transport properties, especially in excitation
and CT states, which is currently an open problem.As an overview
of the molecules with the performed calculations, Table shows the frontier
orbital localization according to the donor and acceptor fragments
for the molecular complexes , , , and . All of the molecular
systems have a similar distribution of orbital localization, as shown
in Table . The molecular
orbitals from HOMO–2 to HOMO–5 are located in the electron-acceptor
part, while the HOMO–1 and HOMO are in the electron-donor part,
and the bound LUMOs are in the electron-acceptor part. Nevertheless,
the LUMO+3 in the , , and and
LUMO+2 in the system are in the
confined electron-donor fragment. With the orbital localization, we
observe that a low-energy transition leading to the formation of the
|ψD⟩ state located in the electron donor takes place from
HOMO or HOMO–1 to LUMO+3 (or LUMO+2 in the molecule); the D*−π–A represents the
resulting state. On the other hand, an electronic transition in a
highly probable CT takes place from one of the bound HOMOs located
at the electron donor to the LUMO located at the electron acceptor,
giving rise to the |ψA⟩ state represented
as D+–π–A–.
Table 1
Most Probable Donor (D) or Acceptor
(A) Fragments for Localization of Electronic Orbitals in the Molecular
Systems , , , and
fragment
orbitals
BDP-Is
BDP-Pyr
B2-Is
B2-Pyr
HOMO–5
A
A
A
A
HOMO–4
A
A
A
A
HOMO–3
A
A
A
A
HOMO–2
A
A
A
A
HOMO–1
D
D
D
D
HOMO
D
D
D
D
LUMO
A
A
A
A
LUMO+1
A
A
A
A
LUMO+2
A
A
A
D
LUMO+3
D
D
D
A
LUMO+4
A
A
A
A
LUMO+5
A
A
A
A
Table S1 summarizes
the first twenty-five
lowest-energy electronic transitions with their energies, oscillator
strength, and orbital involved in the electronic transition for the
molecular systems , , , and in methanol (for toluene, see Table S2 in the Supporting Information). We consider
an electronic state with excitation energies below 3.7 eV to match
the spectral range of OPV devices. We characterize the different states
by considering their detachment–attachment electron densities
that are illustrated in Figure (for the and , see Figure S1 in
the Supporting Information), following the procedure by Head-Gordon.[39]
Figure 2
Electron density associated with the excited states for
the molecular
complexes (a) and (b) in the methanol solvent.
Electron density associated with the excited states for
the molecular
complexes (a) and (b) in the methanol solvent.In and configurations, we find four relevant excited states, which
can be classified as follows:The excited states |ψD⟩ are localized
on the donor part and present an oscillator strength with small charge-transfer
values between the donor and acceptor fragments and can be identified
as the donor π–π* excitation.The excited states labeled as |ψA1⟩, |ψA2⟩, ...,
|ψA⟩ are characterized by a small oscillator strength and
a large charge-transfer values between the donor and acceptor part.
This process is essentially due to the transference of one electron
from the donor to the acceptor segment, constituting a charge-transfer
state.As for the charge-transfer state
energies used in the charge-transfer
process, they are calculated with a combination of excitation energies
from TD-DFT calculations, implementing the ionization potential (IP)
and electronic affinity (EA) of the different charge sites and a Coulomb
energy term that describes the interaction of the relevant charge
sites. The ground state is the reference state, and its diabatic state
energy is set to zero. The energy of the locally excited diabatic
state (D*–A) is calculated as the vertical excitation energy
to the adiabatic state that most represents it. The energy of one
of the charge-transfer states (CTS) with a positive charge at site x and a negative charge at site y is calculated
as[40,41]where IPD is the ionization potential
of the donor fragment, which was calculated by subtracting the total
energy of the neutral molecule from that of the cation, as calculated
by DFT. EA is the electronic affinity
of the acceptor fragment and was obtained by subtracting the total
energy of the anion from that of the neutral state. Eℏν is the lowest single excited state energy
of the donor molecule calculated by TD-DFT, and Ec(r) is the Coulomb interaction
between the cation on the donor fragment and the anion on the acceptor
fragment. rD is the
distance from the center of mass of the donor fragment to the center
of mass of the acceptor fragment, based on the optimized ground-state
structure.Therefore, we found one excitation state |ψD1⟩ = |ψD⟩ for the complexes and . With fosc = 0.6040 for the system and fosc = 0.6068 for the complex, with resulting excitation
energy of 2.4811 and 2.5042
eV, respectively, mainly originated from a HOMO–to–LUMO+3
transition, corresponding to the |ψD⟩ (π–π*)
state in the BODIPY molecules. In addition, there are three CT states
characterized by a small oscillator strength (0.0001–0.0092),
as shown in Figure . In the molecules and , we found one excited state |ψD⟩ with fosc = 0.7820 (system ) and fosc = 0.7800 (system ), and five
CT states |ψA⟩ with small oscillator strengths
(0.0001–0.0025) and large electron transfer (0.95e–1.2e) (see Figure ). However, the charge-transfer states used
in this work are those with a favorable driving force (ΔG < 0) since they present a greater interaction with
the excited states and higher electron transfer, as shown in Figure .
Figure 3
Occupancy of individual
excited states as a function of time for
(a) , (b) , (c) , and (d) in methanol.
Occupancy of individual
excited states as a function of time for
(a) , (b) , (c) , and (d) in methanol.As mentioned above, in Tables and S1 (Supporting Information),
the system has two CT states,
D+–A–. The first one with an excitation
energy of 1.9715 eV, |ψA1⟩, is formed through the first electronic
transition due to the main contribution of HOMO-to-LUMO+1. The second
one, |ψA2⟩, is formed via the HOMO-to-LUMO+2 electronic transition
characterized by an excitation energy of 2.1632 eV and also a vanishing
oscillator strength. Thus, there are two channels for the dissociation
of the exciton D*–A into D+–A– via the photoinduced states |ψA1⟩ and |ψA2⟩ with a favorable driving
force ΔG|ψ = −0.5096 eV and
ΔG|ψ = −0.3179 eV, respectively.
The third state |ψA3⟩ is not considered here because of an unfavorable
driving force ΔG = 0.0851 eV. According to
Veldman et al., ΔG|ψ is the dissipated energy in the CT state formation
(|ψD⟩ → |ψA⟩); a
negative value for ΔG|ψ ensures the necessary driving force for the photoinduced
electron transfer (PET) in a photovoltaic blend.[42] Considering the first twenty lowest-energy values for electronic
transitions, we found only two CT states with a favorable driving
force in the molecular structures and . However, in all of the
systems, we found |ψA⟩ states with unfavored
driving forces (ΔG > 0), as shown in Table ; this can be attributed
to the lack of interactions between frontier molecular orbitals.
Table 2
Electronic Coupling (V), Reorganization Energy (λe),
Driving Force (ΔG), Activation Energy
(Er), and Constant Rates (s–1) According to Marcus Theory fmor (j → i) Electronic Transitions for the Molecular Complexes , , , and in Ethanol
molecule
i → j
|Vji| (meV)
λe (eV)
ΔG (eV)
Er (eV)
κe (s–1)
BDP-Is
|ψD⟩ → |ψA1⟩
7.36
0.1347
–0.5096
0.2609
1.0212 × 1008
|ψD⟩ → |ψA2⟩
25.17
0.1347
–0.3179
0.0623
2.5945 × 1012
|ψD⟩ → |ψA3⟩
4.17
0.1347
0.0851
0.0897
2.4735 × 1010
BDP-Pyr
|ψD⟩ → |ψA1⟩
29.33
0.1356
–0.5245
0.2788
8.0932 × 1008
|ψD⟩ → |ψA2⟩
6.22
0.1356
–0.4399
0.1707
2.3846 × 1009
|ψD⟩ → |ψA3⟩
19.01
0.1356
–0.2448
0.0220
7.0189 × 1012
B2-Is
|ψD⟩ → |ψA1⟩
4.87
0.1332
–0.2785
0.0396
2.3546 × 1011
|ψD⟩ → |ψA2⟩
12.04
0.1332
–0.1988
0.0081
4.8650 × 1012
|ψD⟩ → |ψA3⟩
1.41
0.1332
0.0436
0.0586
9.3726 × 1009
|ψD⟩ → |ψA4⟩
1.16
0.1332
0.1036
0.1052
1,0618 × 1009
|ψD⟩ → |ψA5⟩
2.87
0.1332
0.1837
0.1884
2.5744 × 1008
B2-Pyr
|ψD⟩ → |ψA1⟩
3.70
0.1358
–0.2159
0.0118
3.9816 × 1011
|ψD⟩ → |ψA2⟩
6.20
0.1358
–0.1108
0.0011
1.6507 × 1012
|ψD⟩ → |ψA3⟩
1.50
0.1358
0.1366
0.1366
5.3790 × 1008
|ψD⟩ → |ψA4⟩
1.90
0.1358
0.1723
0.1748
1.9255 × 1008
|ψD⟩ → |ψA5⟩
3.00
0.1358
0.2763
0.3127
2.2841 × 1006
Comparing the energy
amount of the |ψD(A)⟩
states between molecules with similar geometry ( and ), we found a considerable
difference probably attributed
to the conjugation of electrons in the ion pair of the oxygen (O)
and nitrogen (N) atoms within the isoxazoline fragment with the π-conjugated
BODIPY core system.The addition of the alkoxyphenylethynyl
fragments in the molecules and generate excited states with lower
energy than those presented in and systems. The energetic
ordering of solvated states in methanol
is maintained for all systems, and the favorable driving forces follow
the hierarchy ED > EA1 > EA2 > EA3 because the solvation energy increases with
the strength of the
dipole as expected.On the other hand, the electronic coupling
forces calculated between
the excitation state |ψD⟩ and the |ψA⟩ state, obtained via the generalized Mulliken–Hush
(GMH) method, as shown in Table , suggest the charge transfer from the excited state
|ψD⟩ to the |ψA⟩ states of the
photoinduced charge as a possible mechanism. The electronic coupling
between the |ψD⟩ and |ψA2⟩ states
is greater for the molecule
than for the other systems. The coupling between |ψD⟩ and |ψA2⟩ maintained this behavior, as can be seen in Table for the electron
transfer case.
Charge-Transfer Rate Constants
The
kinetics of the
photoinduced charge transfer is modeled following the image of Marcus’s
theory.[43,44] The charge transfer is a crucial process
involved in many physical and biological phenomena (e.g., in a first
approximation, photosynthesis).[45] Marcus’
result giveswhere V is the electronic coupling
between the states |ψD⟩ and |ψA⟩, λe is the reorganization
energy, and kB is the Boltzmann constant.We consider a scenario where the photoexcitation toward the excited
state (i.e., large oscillator strength states) is followed by nonradiative
transitions. These transitions are to lower-lying charge-transfer
state corresponding to charge separation instantaneously upon absorption
(e.g., states |ψA1⟩, |ψA2⟩ and|ψA3⟩ in the configuration). Marcus’ constant rate for the |ψD⟩ to |ψA⟩ state transition and the parameters
that influence these constant rates (the electronic coupling coefficients V, the reorganization energy
λe, the driving force ΔG = EA – ED, and the activation
energies ) are given in Table .For the molecular complexes, the
electron transfer rates |ψD⟩ → |ψA2⟩ have the
same order of magnitude in
all systems, with the exception of the system where it is presented in |ψD⟩
→ |ψA3⟩. Additionally, we found that the CT state with a
value of ΔG > 0 for the photoinduced electron
transfer process has an ET lower rate (between two to six magnitude
orders) than the CT states with ΔG < 0 (a
favorable driving force), giving us information about the relevant
CT states for the charge-transfer analysis.We noted that λe < |ΔG| for the transitions |ψD⟩ → |ψA1⟩, and |ψD⟩
→ |ψA2⟩ in the molecular systems , , and . However, this condition is only accomplished
by the |ψD⟩ → |ψA1⟩ state
in the system, implying that
|ψA2⟩
for takes place in the inverted
region of Marcus.[46] Additionally, the |ψD⟩ → |ψA2⟩ transition in the system shows a λe slightly larger than ΔE, resulting in an electronic transition with a low activation
energy. Under these conditions, the classic barrier crossing may become
more favorable than nuclear tunneling as a dominant transition mechanism.
Charge-Transfer Kinetics
The overall CT kinetics involves
a transition between states |ψD⟩ and |ψA⟩. Assuming that each of these transitions can be defined
as a Marcus constant rate, as above, one can establish the overall
kinetics in terms of a master equation describing the incoherent motion
through time-dependent occupation probabilities, P(t), of some quantum states, |ψA⟩. Then, the P(t) is a solution of rate equations of the typeThis equation contains the rates (of probability
transfer per unit time) k for transitions from |ψD⟩ to |ψA⟩. The first term of the right-hand side describes the decrease
of P in time due to probability transfer
from |ψD⟩ to all other states, and the second
term accounts for the reverse process, including the transfer from
all other states |ψA⟩ to the |ψD⟩ state. In 1928, eq was “intuitively derived” by Pauli,[47] then, this expression is frequently called the
Pauli Master Equation or just the Master Equation. By considering k = 0, we haveHere, Pψ(t) is the excited state population
|ψA(D)⟩ at time t, such that Pψ(t) + ∑Pψ(t) = 1, with ke = kψ as the Marcus constant rate for the electronic transition
from the |ψD⟩ state to the |ψA⟩ state (see Table ). We do not include transitions from the excited to the ground
state in the master equation and assume the initial electronic state
corresponding to photoexcitation at time t = 0. Then,
the occupancy is given bywhere fosc is the oscillator strength of the excited state |ψA⟩. Namely, we impose direct photoexcitation of the interfacial
dimer, which guarantees that the initial state is dominated by bright
states.Figure shows the
occupancy of each excited state individually as a function of time
in methanol for all of the molecular configurations. The initial states
are the excited π–π* states (|ψD⟩), and the transitions to other states |ψA⟩ occur selectively from |ψD⟩ at different
time scales. For the molecular
system, Figure a,
the two CT states (|ψA1⟩ and |ψA2⟩) begin with zero population
and |ψA1⟩ reach their steady state after ∼2.50 ps. The occupancy
steady-state value of |ψA2⟩ is larger than that of the |ψA1⟩ state,
as there are more pathways (π-delocalization link) leading to
the |ψA2⟩ state than to |ψA1⟩ (see Table ). However, for the molecular system , we find that the steady state is reached
at a slower time scale (∼0.80 ps) compared with the system, mostly due to the addition of fragments
of the alkoxyphenylethynyl group. Figure c and d shows the occupancy of the individual
excited state as a function of time for and molecules. For example,
the π–π* state (|ψD⟩) is
strongly coupled to the |ψA2⟩ state, while is weakly coupled to
the |ψA1⟩ state, in the molecular system . As a result, the |ψA2⟩ state occupancy quickly rises after
photoexcitation remaining, essentially, constant after that at the
branching ratio value, Pψ(0) kψ/K. However, for the molecular system, the |ψD⟩ state is mostly
stronger coupled to the |ψA2⟩ state than to the |ψA1⟩ state.
The latter should not be confused with the occupancy equilibrium of
the |ψA⟩ state, which will be obtained at a slower
time scale only. The total occupancy of the |ψD⟩
states and the |ψA⟩ states are plotted in Figure . The overall time scale on
which the occupancy of the excited state depleted and that on which
the occupancy of CT states increases in the configuration is very similar to that observed in the configuration (a similar process
occurs between and ). The CT occurs on the subpicosecond time
scale, with 90% of the charge transferred in ∼0.80 ps for the system, ∼0.40 ps for the system, and ∼0.50 ps for the system. A larger transfer time was
found for the system observed
with 95% of the transferred charge in ∼1.8 ps.
Figure 4
Total occupancy for the
|ψD⟩ state and
the charge-transfer state (|ψA⟩) as a function of
time for the different molecular complexes: (a) , (b) , (c) , and (d) in methanol.
Total occupancy for the
|ψD⟩ state and
the charge-transfer state (|ψA⟩) as a function of
time for the different molecular complexes: (a) , (b) , (c) , and (d) in methanol.Figure shows that
CT states with driving forces ΔG > 0 are
unfavorable
for the CT process and have a very small (or null) occupation when
considering the dynamics of the transfer rate. However, the states
with ΔG < 0 present a dynamic of considerable
importance since the processes of charge transfer present between
the involved states with this condition are mainly favored. Moreover,
these last states have the highest transfer rate, as can be seen in Table .
Solvent Polarity
Effects
The research of bathochromic
changes in the electronic spectra of molecules provides information
about molecule–solvent interactions. The observed bathochromic
shift due to the increasing solvent polarity depends on the difference
between the permanent dipole moments of the ground and excited state,
in agreement with the dielectric polarization theory. This theory
states that the bigger the moment difference between dipoles of the
ground state and excited state, the greater the spectral shift induced
by the solvent.[48] When the dipole moment
of the excited state is larger than that of the ground state, solute–solvent
interactions of the excited state are stronger than those of the ground
state and a red-shift of maximum absorption will be observed.To understand the effects of the solvent polarity on the excitation
and charge-transfer energy values, we studied the bathochromic change
of the compounds in methanol and toluene as solvents. Initially, by
considering toluene as a solvent (nonpolar), the additional generation
of two charge-transfer states with a favored driving force for the system regarding the case where methanol
is considered, with energies EA1 = 1.5979 eV, EA2 = 1.6794
eV, EA3 = 2.9223 eV, and EA4 = 1.9980 eV, is observed. One additional
charge-transfer state is observed for the complex in toluene compared with methanol with EA1 = 1.7106
eV, EA2 = 1.8143 eV, and EA3 = 2.0657 eV (see the Supporting Information). However, for and systems, the same
amount of CT state is maintained with energies EA1 = 1.7486 eV, EA2 = 1.8169 eV, and EA3 = 2.0756 eV for the system and EA1 = 1.8685 eV, EA2 = 1.9508 eV, and EA3 = 2.1516 eV for the system.
Indeed, there is a decrease in the energy for the excited state π–π*
(|ψD⟩) in each of the studied systems with
values of 2.4811, 2.5042, 2.0868, and 2.1011 eV for the , , , and molecular systems, respectively. On the other hand, the dipolar
moments of the excited state for the molecular systems interacting
with both methanol and toluene have larger values than those for the
ground state, as seen in Table . Hence, the interaction between the molecular complexes and
the solvents is greater in the excited state than in the ground state.
Complementarily, we observed the dipole moments for methanol with
larger values than those for toluene in the excited state, indicating
a “better” interaction between the molecules and the
methanol, therefore, a better stabilization of the HOMO–LUMO
orbitals in methanol. From Figures and 6, it is clear that the
charge-transfer process will perform better in the presence of the
polar solvent methanol than in toluene. The reorganization energy
estimation for the molecular
complex yields λ = 0.1347 eV in methanol and 0.1564 eV in toluene.
The difference between the two can be traced back to the larger amount
and extent of charge transfer in methanol compared to toluene.
Table 3
Dipole Moments Calculated
for Ground
and Excited States of , , , and Molecular Systems in Toluene
and Methanol Solvents (in Debye Units)
toluene
methanol
molecule
ground
excited
ground
excited
BDP-Is
3.8368
4.7372
3.1336
5.3112
BDP-Pyr
5.6067
6.0955
4.5418
7.4045
B2-Is
3.8467
4.6521
3.7648
5.3845
B2-Pyr
4.2827
5.3459
4.2287
6.5372
Figure 5
Occupancy of
individual π–π* (|ψD⟩)
and |ψA⟩ states for (a) , (b) , (c) , and (d) configurations in methanol (M) and toluene (T). The dashed lines
are the |ψD⟩T and |ψA⟩T states for toluene, and the solid line is |ψD⟩M and |ψA⟩M for methanol.
Figure 6
Total occupancy dynamics for the |ψD⟩ state
and the charge-transfer state (|ψA⟩) as a function
of time (in methanol and toluene) for (a) , (b) , (c) , and (d) .
Occupancy of
individual π–π* (|ψD⟩)
and |ψA⟩ states for (a) , (b) , (c) , and (d) configurations in methanol (M) and toluene (T). The dashed lines
are the |ψD⟩T and |ψA⟩T states for toluene, and the solid line is |ψD⟩M and |ψA⟩M for methanol.Total occupancy dynamics for the |ψD⟩ state
and the charge-transfer state (|ψA⟩) as a function
of time (in methanol and toluene) for (a) , (b) , (c) , and (d) .The existence of intramolecular charge-transfer mechanisms in the
current molecular systems gives us information about the capabilities
to use them as electron-donor materials. However, the analysis of
other properties such as the optical, electronic, and photovoltaic
properties employing Scharber’s model offers us a precise scenario
about the potential application of these systems in the construction
of organic solar cells. Scharber’s model describes an estimation
for the power conversion efficiency in bulk heterojunction solar cells,
knowing the energy levels (to estimate the capability of the molecule
in a BHJ OSC), and provides an indication of the capabilities of the
molecular system that is to be achieved by assuming an efficient charge,
absorption, and charge-separation process.
Optical and
Electronic Properties
In OSC photoactive
materials, the active layer (electron-donor material) plays an essential
role in the sunlight absorption because the electron acceptor (e.g.,
PCBM) should have a weak absorption in the visible and near-infrared
regions. To investigate the absorption properties of these molecules,
such as excitation energies, oscillator strength of the electronic
excitations, the composition of vertical transitions, and the UV/VIS
absorption spectrum, we carried out TD-DFT calculations with a CAM-B3LYP
functional.The excitation energy and corresponding oscillator
strength associated with λmax for each molecular
system are listed in Table . The spectroscopic parameters corresponding to the D−π–A
derivatives are summarized in Table , and the simulated absorption curves for toluene and
methanol are presented in Figure . The time-dependent (TD) DFT calculation for the molecular
complexes shows that for the compound,
the optically allowed electronic transition is related to populating
the HOMO → LUMO+3 excitation with high oscillator strength
(fosc), which is related to an energy
band that registers an absorption peak at 508.196 nm for toluene and
499.775 nm for methanol in the absorption spectrum of Figure ; possibly ascribed to the
intramolecular charge transfer in the BODIPY part. The compound shows an absorption peak at 503.564
nm for toluene and 495.159 nm for methanol associated with the HOMO
→ LUMO+3 electronic transition in accordance with the experimentally
reported value[28] (505 nm for Toluene) and
an oscillator strength fosc = 0.6061.
The simulated absorption spectra show, for the compound, a peak with maximum absorption at 599.410 nm, with fosc = 0.8214 for toluene and 594.200 nm for
methanol in which the electronic transitions HOMO → LUMO+3
(representing a 97%) correspond to an intramolecular charge transfer.
Finally, the molecule absorption
spectrum represents the envelope of all possible electronic transitions
at different absorption wavelengths finding a higher contribution
in the electronic transition at 596.508 nm in toluene associated with
the HOMO → LUMO+3 transition and 590.170 nm in methanol corresponding
to the HOMO → L+2 transition.
Table 4
Summary of the Maximum Theoretical
λmax and Experimental λmaxExp Absorption Wavelength, Excitation
Energy Eexc, Oscillator Strength fosc, Contribution of the Most Probable Transition,
and the Light-Harvesting Efficiency (LHE) of the Studied Compounds
molecule
λmax (nm)
λmaxExp (nm)
Eexc (eV)
fosc
composition
LHE
toluene
BDP-Is
508.196
506
2.440
0.654
H → L+3 (98%)
0.778
BDP-Pyr
503.564
505
2.462
0.652
H → L+3 (97%)
0.776
B2-Is
599.410
591
2.068
0.821
H → L+3 (97%)
0.856
B2-Pyr
596.508
589
2.078
0.848
H → L+3 (98%)
0.853
methanol
BDP-Is
499.775
2.481
0.602
H → L+3 (97%)
0.751
BDP-Pyr
495.159
2.505
0.606
H → L+3 (98%)
0.753
B2-Is
594.200
2.087
0.782
H → L+3 (97%)
0.824
B2-Pyr
590.170
2.101
0.780
H → L+2 (98%)
0.823
Figure 7
Simulated absorption spectra in (a) toluene
(C7H8) and (b) methanol (CH3OH) with
TD-DFT/CAM-B3LYP/6–311G(d,p)
for , , , and molecular complexes.
Simulated absorption spectra in (a) toluene
(C7H8) and (b) methanol (CH3OH) with
TD-DFT/CAM-B3LYP/6–311G(d,p)
for , , , and molecular complexes.Another parameter that provides
information on the radiation capture
efficiency of the electron-donor material (, , , and ) in addition to
the absorption spectra is the light-harvesting efficiency (LHE). Generally,
the LHE is closest to the magnitude of the oscillator strength fosc and can be expressed as[49,50]According to eq ,
the bigger the fosc, the higher the LHE.
The LHE corresponding to λmax in the molecules presents
the following order > > > , as shown in Table . The LHE values for
the D−π–A
derivatives are in the range between 0.751 and 0.856, meaning that
all electron-donor compounds have a similar sensitivity to sunlight.[49,51]
Electronic Properties
There are several molecular systems
that have been used in organic solar cells (OSCs) to improve the energy
conversion efficiency in those devices. We remark that the theoretical
knowledge about the HOMO and LUMO molecular energies is crucial to
understand the electronic dynamics in those cells. The HOMO and LUMO
energies of the donor segments (D−π–A) and the
LUMO levels of the acceptor part are relevant parameters to determine
the efficient charge transfer between the donor and the acceptor.
In OSCs, the energy of the HOMO–LUMO frontier orbitals of the
photoactive components have a close relationship with the photovoltaic
properties because the energy levels are related to the open-circuit
voltage (Voc) and the energy driving force
(ΔE) for the exciton dissociation.[52] For an estimation of the HOMO–LUMO frontier
orbitals energy of the molecular complexes, we adjusted the equations
of Bérubé et al.,[52] such
thatWe performed the calculations
by employing
the B3LYP/6–311G(d,p) level to estimate the geometrical structure,
the frontier orbitals, the exciton driving force energy, and the corresponding
band gap for eight compounds , , , and , listed in Table .
Table 5
Calculated
Values of the Frontier
Orbitals HOMO (H) and LUMO (L) Energies which Constitute the Photoactivated
Material with the Respective Estimation (HEst and LEst), Energy Gap ΔEg, and Energy of the Exciton Driving Force ΔE (in eV) for Exciton Dissociation in Toluene and Methanol
molecule
HOMODFT
LUMODFT
HOMOEst
LUMOEst
ΔEg
ΔE
toluene
BDP-Is
–5.51
–3.28
–5.667
–3.820
1.846
0.388
BDP-Pyr
–5.47
–3.14
–5.640
–3.725
1.914
0.483
B2-Is
–5.10
–3.27
–5.388
–3.814
1.574
0.394
B2-Pyr
–5.08
–3.12
–5.374
–3.712
1.663
0.496
PCBM
–5.91
–3.85
–5.939
–4.208
1.731
N.A.
methanol
BDP-Is
–5.58
–3.20
–5.714
–3.766
1.948
0.442
BDP-Pyr
–5.55
–3.10
–5.694
–3.698
1.996
0.510
B2-Is
–5.21
–3.17
–5.463
–3.746
1.717
0.462
B2-Pyr
–5.20
–3.06
–5.456
–3.671
1.785
0.537
The HOMO/LUMO values
of the studied compounds are shown in Table and are in good agreement
with previously reported experimental work.[6,28] The
[6,6]-phenyl-C60–butyric acid methyl ester (abbreviated
as PCBM) will be used as the electron-acceptor material, which is
an excellent electron transporter with a LUMO energy (−3.95
eV[53]) that is both high enough to support
a large photovoltage, given that Voc is
limited by the energy difference between the donor HOMO and the acceptor
LUMO, and also low enough to provide Ohmic contacts for electron extraction
and injection from common cathode electrons.[54] The HOMO and LUMO values of the electron-acceptor component PCBM
are experimentally reported in refs (53, 55−59); these are in good agreement with those calculated
theoretically in this work and reported in Table (−5.91/–3.85 eV respectively).On the other hand, when comparing between the molecules, the calculated
band gap ΔEg = ELUMO – EHOMO increases
in the following hierarchy ΔEg– > ΔEg– >
ΔEg– > ΔEg–. Other authors have previously
reported the improvement of the photovoltaic properties correlated
with a decreasing value of the energy gap (ΔEg).[49] Consequently, the compound is a suitable candidate for
a better photovoltaic performance regarding the molecules analyzed
here. The low values of ΔEg– compared to ΔEg–, ΔEg–, and ΔEg– indicates a significant intramolecular
charge transfer in , which translates
into a red-shift of the absorption spectrum.Comparing the band
gap between the molecules and , as well as the and compounds, we find
a larger band gap energy for and than for and . We
can attribute this to the greater conjugation of the ion pair electrons
on the oxygen and nitrogen atoms of the isoxazoline fragment with
the conjugation π-system of the BODIPY core. The estimation
of the exciton driving force (ΔE) is helpful
in predicting the degree of efficient charge transfer between the
photoactive materials within organic solar cells and is denoted[60] byThe expression
above defines the difference between the LUMO orbitals
of the electron-donor (D−π–A system) and the electron-acceptor
(PCBM) materials. The obtained result shows the energy differences
(ΔE) higher than 0.3 eV in all of the studied
composites. Therefore, an efficient exciton splitting in free charge
carriers (electron–hole pairs), as well as electron transfer
between the electron-donor and electron-acceptor materials, can be
guaranteed. The energy losses in these molecules are minimized due
to charge carrier recombination.[60−62] In Table , a ΔE range (0.388–0.496 eV) is calculated, and from this result,
an ordering between the molecular complexes appear: ΔE >
ΔE > ΔE > ΔE. The latter can be associated with the molecular π-delocalization
link in which the electrons are free to move in more than two nuclei,
implying that the π-delocalization length affects ΔE in the D−π–A derivatives.[49] In this sense, a longer π-delocalization
length produces a lower ΔE as in the case of and molecules (0.388 and 0.394 eV, respectively) in contrast to and (0.483 and 0.496 eV, respectively). The delocalization is
attributable to the oxygen atom inclusion in the donor−π–acceptor
(D−π–A) systems, limiting the conjugation and
facilitating the electronic π–delocalization. Furthermore,
we observed that molecules with an oxygen atom in the structure have
a better dissociation capability at the electron-donor/electron-acceptor
interface due to a lower value of ΔE. The previous
results show that the and molecules have a lower ΔE, guaranteeing the effective exciton dissociation, which
together with the low Eg presents these
materials as potential candidates for bulk heterojunction solar cells.
Bulk Heterojunction Solar Cells
In bulk heterojunction
(BHJ) solar cells, the active layer, which consists of two kinds of
molecular materials (the electron-donor and electron-acceptor materials),
is sandwiched between two electrodes with different work functions,
as shown in Figure .
Figure 8
Design of a BHJ OSC requires the following as diagrammatically
sketched in the steps indicated for the energy-level diagram in (a):
(1) incident photons, (2) exciton formation, (3) exciton diffusion,
(4) exciton dissociation, (5) charge transport, and (6) collection.
(b) Configuration of the electron-donor material and the sketched
PCBM structure.
Design of a BHJ OSC requires the following as diagrammatically
sketched in the steps indicated for the energy-level diagram in (a):
(1) incident photons, (2) exciton formation, (3) exciton diffusion,
(4) exciton dissociation, (5) charge transport, and (6) collection.
(b) Configuration of the electron-donor material and the sketched
PCBM structure.To understand the operational
principle of a solar cell, we divide
it into six different subprocesses, as explained through the energy
band gap diagram of the donor and acceptor materials in Figure . The steps are as follows:
(1) the active layer absorbs photons producing electronic transitions
between the HOMO and LUMO states of the donor material, (2) the electronic
transition generates a system of electron–hole pairs known
as excitons, (3) the excitons are diffused toward the acceptor material
interface producing excitonic dissociation forming a charge-transfer
(CT) complex, which will be favorable to occur when the energy difference
between the donor LUMO and the acceptor LUMO (ΔE) is greater than the binding energy of the exciton,[60] and (4) if the distance between the electron and hole becomes
greater than the Coulomb trapping radius, the charge-transfer state
becomes a separated (CS) state (or free charge carriers) in the photovoltaic
process. However, if the electrons are unable to escape from the Coulomb
trapping radius, the geminate pair will recombine across the donor/acceptor
interface, constituting another losing mechanism in these devices,[63] (5) the dissociated charges are transported
through p-type or n-type domains
toward the metallic electrodes. Finally, (6) the collected holes at
the anode and electrons at the cathode can be employed in external
circuits.[64] While the exciton dissociation
process is actually far more complex than depicted, these simplified
schematics are useful for generating a conceptual understanding of
the photophysical processes occurring in the OPVs.
Photovoltaic
Properties
Aiming to provide a working
guide that can be useful for experimental researchers in the field,
we used Scharber’s model to estimate the photovoltaic properties
of the analyzed materials. Initially, the bulk heterojunction organic
solar cells (BHJ OSCs) present a mixture of an electron-donor π-conjugate
with an electron-acceptor derivative from fullerene. Therefore, we
examine the photovoltaic behavior of the new D−π–A
derivatives mixed with PCBM (see Figure ) as a widely used electron acceptor in solar-cell
devices.[65−69] We evaluated the power conversion efficiency (PCE) as the most commonly
used parameter to compare the performance of many solar cells, as
well as some important parameters such as the short-circuit current
density (Jsc), the open-circuit voltage
(Voc), and the fill factor (FF). The photoelectric
conversion efficiency of solar-cell devices under sunlight irradiation
(e.g., AM1.5G) can be determined by Jsc and Voc and the power of incident light P as follows[70]where the fill
factor (FF) is proportional
to the maximum power of the solar cell. This approach allows us to
estimate the PCE value of a given polymer or molecular systems in
the active layer from its frontier orbital energy levels. The frontier
energy levels and their separation (Eg) are critical for photovoltaic behavior since they directly affect
the Jsc and Voc values, and a proper control of those levels is of prime importance
in the design of high-performance photovoltaic devices.[71]The maximum open-circuit voltage (Voc) of the BHJ solar cell according to Scharber’s
model is related to the difference between the highest occupied molecular
orbital (HOMO) in the electron-donor and the LUMO of the electron-acceptor
materials regarding the energy lost during the photo-charge generation.[72] The theoretical value of the open-circuit voltage Voc of a conjugated polymer-PCBM solar cell can
be estimated by[72]where e is the
elementary
charge and 0.3 eV is an empirical factor. In operational solar cells,
additional recombination paths decrease the value of Voc, affecting the PCE of OPVs because they must operate
at a voltage lower than the Voc. A decreasing Voc implies a power reduction (Jsc × Voc) given by the
fill factor (FF). A simple relation between the energy level of the
HOMO of the molecular systems (, , , and ) and the Voc is derived to estimate the maximum efficiency
of the BHJ OSCs. Based on these considerations, the ideal parameters
for a π-conjugated-system-PCBM device are determined in Table . The calculated Voc is in the range between 0.886 and 1.159 V
in toluene and from 0.948 to 1.206 V in methanol, and these are relatively
high values implying that the OPV composed of the studied molecule
as an electron-donor material and PCBM has potential applications
as BHJ OSCs because of their improved Voc. The Voc hierarchy is as follows: Voc > Voc > Voc > Voc in
both of the solvents,
showing values higher than 1.0 V for the and molecules, which
means an efficient increase of the Voc.
Table 6
Parameter Values of the Studied Molecular
Compounds: Energy Gap (Eg), Open-Circuit
Voltage (Voc), Short-Circuit Current Density
(Jsc), the Fill Factor (FF), and Power
Conversion Efficiency (PCE)
molecule
ΔEg (eV)
Voc (V)
Jsc (mA/cm2)
FF
PCE (%)
PCE (%)a
toluene
BDP-Is
1.846
1.159
11.939
0.895
12.380
9.523
BDP-Pyr
1.928
1.132
10.575
0.893
10.685
8.219
B2-Is
1.574
0.880
17.155
0.870
13.136
10.105
B2-Pyr
1.663
0.866
15.353
0.869
11.555
8.888
methanol
BDP-Is
1.948
1.206
10.248
0.898
11.103
8.541
BDP-Pyr
1.996
1.186
9.541
0.897
10.146
7.805
B2-Is
1.717
0.955
14.295
0.878
11.984
9.218
B2-Pyr
1.785
0.948
13.024
0.877
10.832
8.332
The PCE value was calculated by
considering an EQE of 50%.
The PCE value was calculated by
considering an EQE of 50%.Given that the PCEs are estimated from the values for the open-circuit
voltage Voc, the short-circuit current Jsc, and the fill factor FF of the OSCs,[73] to achieve high efficiencies, an ideal donor
material should have a low-energy gap and a deep HOMO energy level
(thus increasing Voc). Additionally, a
high hole mobility is also crucial for the carrier transport to improve Jsc and FF, which can be empirically described
by[74,75]with and νm = νoc – ln(νoc +
1 – ln(νoc)). The parameter values corresponding
to the , , , and compounds are shown
in Table . The fill
factor oscillates between 0.869 to 0.895 in toluene and from 0.877
to 0.898 in methanol, in agreement with the reported BHJ SC values
for different polymers as electron-donor and PCBM as electron-acceptor
materials.[76,77]If the energy conversion
efficiency is calculated with eq , by taking the Voc and FF from
Scharber’s model and considering
experimental Jsc values, a correlation
between the calculated PCE and the experimental PCE value showing
an absolute standard deviation of 0.8% is found.[78] However, if the theoretical value for Jsc and experimental FF is used to calculate the PCE, a
considerable change is observed in the correlation between PCETer and PCEExp, which indicates a high sensibility
of Jsc to the structural or morphology
change in the OPV devices. Thus, similar to the FF and Voc, the short-circuit current density (Jsc) is another important parameter involved in the calculation
of PCE and can be determined as follows[65]where EQE(λ) is
the external quantum
efficiency, ϕAM1.5G is the flow of photons associated
with the solar spectral irradiance in AM1.5G, q is
the electronic charge, and λ1 and λ2 are the limits of the active spectrum of the device. The photon
absorption rate of the donor and acceptor materials, the exciton dissociation
efficiency, and the resultant charge transportation efficiencies toward
the electrodes limit the Jsc values. This
quantity represents the probability for a photon to be converted into
an electron.The highest reported EQEs are around 50–65%.[58,79] The calculated values reported in Table for PCE and Jsc have considered an EQE of 65%. These values show that the and compounds have higher PCE, probably associated with the insertions
of an oxygen atom in their molecular structure. Additionally, we can
observe that the molecule is a
great candidate as a compound in the manufacture of organic solar
cells.We can further observe that although the and systems
possess
a comparable Voc of 1.159 and 1.132 V
in toluene, respectively, and a quite similar form factor, the Jsc is completely different, marking a great
difference in their corresponding PCE values.Since the model
uses rather simple assumptions for the EQE value
in eq , there is an
associated imprecision in the Jsc estimations.
The EQE is a complex frequency-dependent function that considers the
transport effects and the morphology of the films. The Jsc values from Scharber’s model do not define a
strict upper bound and should be considered only as an indicator for
the molecular capability as a light-harvesting device. In this way,
the estimation of the EQE value is a sensitive parameter in Scharber’s
model to define the accuracy between the calculated and the actual
experimental PCE values.
Molecular Systems as Electron-Acceptor Materials
The C60 fullerene has often been chosen
as an excellent
electron acceptor since it presents a triple-degenerated low-energy
LUMO. This molecular structure is also capable of reversibly accepting
up to six electrons and offers unusually low reorganization energy
in charge-transfer processes, allowing ultra-fast charge-separation
processes and slow charge recombination.[80,81] Therefore, we expect that the merger between C60 and the BODIPY unit may exhibit acceptor properties being
able to act as electron-acceptor materials in molecular photovoltaic
devices. Therefore, here we consider the analyzed systems as electron-acceptor
materials due to the presence of the C60 fullerene in their molecular structure. Hence, we consider the poly(3-hexylthiophene-2,5-diyl)
() as the electron-donor material
because of the relative stability, ease of scalability by direct synthesis,[82] and compatibility with high-performance production
techniques. Additionally, the widespread use and the well-known material
capabilities in OPV research during some time make the a typical candidate to perform some theoretical
tests.[83,84] The became
the pioneering material to research on conjugated polymers due to
advances in synthetic methodologies, establishing applications in
several organic electronic devices such as solar cells, field-effect
transistors, light-emitting diodes, and many others. This material
has commonly been employed in several fundamental studies regarding
charge transport and film morphology because of the smoothness of
the synthesis and the high-grade optoelectronic properties.[85,86] is soluble in a variety of solvents,
allowing advantages over other electron-donor materials as the reduced
band gap and the high mobility of holes (>0.1 cm2/Vs)
with
a suitable morphology control and an absorption edge in 650 nm, which
matches with the maximum solar photon flux between 600 nm and 700
nm.[87] In this work, the molecular orbital
HOMO/LUMO (5.10/2.65 eV) values were calculated following the section Molecular Systems and Computational Results and
are in good agreement with the reported values in the literature.[88−90]Table shows
the calculated photovoltaic
property values considering Scharber’s method[72] in which the active layer is a P3HT: D−π–A
system. We observed that all calculated Voc show large values (1.268–1.376 V), implying that the D−π–A
systems improved the P3HT Voc, thus opening
the possibility for photovoltaic applications. In addition, we observed
a range of around 0.320–0.428 eV in the difference of the LUMO
energy levels between and D−π–A
systems, suggesting a photoexcited electron transfer from to D−π–A, fair enough to
be employed in photovoltaic devices. In this order of ideas, we observed
lower ΔE values for and systems involving
most probable dissociation processes in the donor/acceptor interface
than in and molecules.
Table 7
Photovoltaic Properties
of the Molecular
Compounds: Energy of the Exciton Driving Force ΔE, Open-Circuit Voltage Voc, Short-Circuit
Current Density Jsc, the Fill Factor FF,
and Power Conversion Efficiency PCE
molecule
ΔE
Voc (V)
Jsc (mA/cm2)
FF
PCE (%)
PCE (%)a
BDP-Is
0.428
1.268
9.541
0.902
10.527
8.098
BDP-Pyr
0.320
1.376
9.541
0.908
11.543
8.879
B2-Is
0.422
1.274
9.541
0.902
10.590
8.146
B2-Pyr
0.354
1.342
9.541
0.906
11.225
8.635
The PCE value was calculated by
considering an EQE of 50%.
The PCE value was calculated by
considering an EQE of 50%.Therefore, a lower ΔE not only ensures the
dissociation of the effective exciton but also reduces the energy
loss by recombination processes. Thus, molecular systems (electron-acceptor
molecules) with high Voc and low ΔE should improve solar-cell performance. The low-band gap
of the alkoxyphenylethynyl group allows increasing the PCE by the
light absorption up to the infrared range (to harvest additional solar
energy), and also changes the HOMO and LUMO levels of the analyzed
molecules.[91] Based on Scharber’s
model,[72] the maximum PCE of the photovoltaic
solar cells with P3HT: D−π–A as an active layer
is around 11.54% for the system
and 11.23% for the molecule as
electron-acceptor materials.The results obtained for the PCE
with the method presented here
do not represent the value reached under real experimental conditions,
but rather the maximum value reached theoretically. However, some
works[52,92,93] show that
the decrease in the PCE factor that can be achieved when comparing
the results both theoretical and experimental, is around 30–50%.
This shows that our systems are robust and could be of interest in
the construction of OSCs or optoelectronic devices according to the
PCE results shown by the NREL cell efficiency chart.[94]
Conclusions
The energy estimation
of the frontier molecular orbitals HOMO–LUMO
showed a high correlation with the available experimental data. The
energy of the exciton driving force (ΔE) of
all of the D−π–A derivatives has a value greater
than 0.3 eV, which guarantees an efficient exciton dissociation. The
results presented here demonstrate the crucial role played by the
donor LUMO level in bulk heterojunction solar cells: besides a reduction
of the band gap, new donor materials should be designed to optimize
their LUMO value because this parameter drives the solar-cell efficiency.
As seen in Table ,
we remark that an optimized open-circuit voltage translates into optimized
device conversion efficiencies. Comparing the and systems, as well
as the and compounds, we found a favorable dissociation of the exciton
in the donor/acceptor interface by the electron conjugation of the
ion pair in the oxygen and nitrogen atoms (of the isoxazoline fragment)
with the π-conjugated BODIPY core system; consequently, a favorable
PCE in the : and : devices. Our results for the proposed
molecular compounds show that the system with the lowest ΔE and highest Voc values exhibit
excellent photoactivation features and, therefore, are very well-suited
candidates for BHJ solar-cell implementation.Finally, when
molecular systems are considered as electron-acceptor
materials due to the presence of fullerene in their structure, it
is found that and have a favorable exciton dissociation and
transport of holes than the other systems; hence, they would be the
most promising ones for application as electron-acceptor materials
in organic solar cells, which is also reflected in their PCE values.
In addition, we found that the inclusion of a pyrrolidine ring favors
the PCE by comparing the and systems. However, the addition of the
alkoxyphenylethynyl group does not represent a favorable change for
either system. We finally remark that the studied molecular systems
exhibit properties that are favorable for application as photovoltaics
if these are used in conjunction with and , according to the needs,
as electron-donor or electron-acceptor materials.In summary,
this work makes a theoretical contribution to the physical
chemistry of photovoltaic materials by establishing criteria for power
conversion efficiency optimization in D−π–A molecular
complexes and BHJ organic solar cells. The performed calculations
range from the single-molecule domain to the PV properties of BHJ
OSCs with novel electron-donor systems, which are a rapidly evolving
photovoltaic technology with a projected significant role in the PV
market. This said, substantial research and development efforts are
still needed to achieve the performance level required to become a
commercially competitive alternative.
Authors: Asmae Fitri; Adil Touimi Benjelloun; Mohammed Benzakour; Mohammed Mcharfi; Mohammed Hamidi; Mohammed Bouachrine Journal: Spectrochim Acta A Mol Biomol Spectrosc Date: 2014-05-10 Impact factor: 4.098