Osnat Zapata-Arteaga1, Bernhard Dörling1, Aleksandr Perevedentsev1, Jaime Martín2,3, J Sebastian Reparaz1, Mariano Campoy-Quiles1. 1. Institute of Materials Science of Barcelona (ICMAB-CSIC), Campus of the UAB, 08193 Bellaterra, Spain. 2. POLYMAT and Polymer Science and Technology Department, Faculty of Chemistry, University of the Basque Country UPV/EHU, Manuel de Lardizabal 3, 20018 Donostia-San Sebastián, Spain. 3. Ikerbasque, Basque Foundation for Science, E-48011 Bilbao, Spain.
Abstract
Two doping mechanisms are known for the well-studied materials poly(3-hexylthiophene) (P3HT) and poly(2,5-bis(3-alkylthiophen-2-yl)thieno[3,2-b]thiophene) (PBTTT), namely, integer charge transfer (ICT) and charge transfer complex (CTC) formation. Yet, there is poor understanding of the effect of doping mechanism on thermal stability and the thermoelectric properties. In this work, we present a method to finely adjust the ICT to CTC ratio. Using it, we characterize electrical and thermal conductivities as well as the Seebeck coefficient and the long-term stability under thermal stress of P3HT and PBTTT of different ICT/CTC ratios. We establish that doping through the CTC results in more stable, yet lower conductivity samples compared to ICT doped films. Importantly, moderate CTC fractions of ∼33% are found to improve the long-term stability without a significant sacrifice in electrical conductivity. Through visible and IR spectroscopies, polarized optical microscopy, and grazing-incidence wide-angle X-ray scattering, we find that the CTC dopant molecule access sites within the polymer network are less prone to dedoping upon thermal exposure.
Two doping mechanisms are known for the well-studied materials poly(3-hexylthiophene) (P3HT) and poly(2,5-bis(3-alkylthiophen-2-yl)thieno[3,2-b]thiophene) (PBTTT), namely, integer charge transfer (ICT) and charge transfer complex (CTC) formation. Yet, there is poor understanding of the effect of doping mechanism on thermal stability and the thermoelectric properties. In this work, we present a method to finely adjust the ICT to CTC ratio. Using it, we characterize electrical and thermal conductivities as well as the Seebeck coefficient and the long-term stability under thermal stress of P3HT and PBTTT of different ICT/CTC ratios. We establish that doping through the CTC results in more stable, yet lower conductivity samples compared to ICT doped films. Importantly, moderate CTC fractions of ∼33% are found to improve the long-term stability without a significant sacrifice in electrical conductivity. Through visible and IR spectroscopies, polarized optical microscopy, and grazing-incidence wide-angle X-ray scattering, we find that the CTC dopant molecule access sites within the polymer network are less prone to dedoping upon thermal exposure.
Fine
control of the doping level in organic semiconductors is necessary
to optimize their electrical properties for applications such as thermoelectrics,
transistors, and light-emitting devices. The realization of organic
thermoelectric devices relies, indeed, on doping pristine organic
semiconductors materials to tune their electrical conductivity (σ),
Seebeck coefficient (α), and thermal conductivity (κ).
Previous reports have explored the trade-off between these parameters
to improve the dimensionless figure of merit ZT =
α2σΤ/κ,[1,2] where T stands for the absolute temperature.Organic semiconductors were first doped by using alkali metals
and halides, although their tendency to diffuse or react with the
ambient or other layers has limited further development.[3] Molecular dopants have emerged as more promising
candidates as they appear to be sufficiently stable for (at least
short) lab tests. Particularly, dopant/host systems such as 2,3,5,6-tetrafluoro-7,7,8,8-tetracyanoquinodimethane
(F4TCNQ) doped poly(2,5-bis(3-alkylthiophen-2-yl)-thieno[3,2-b]thiophene) (PBTTT) have become materials test beds for
studying the mechanisms involved in doping. Currently, two main doping
mechanisms have been proposed, namely, integer charge transfer (ICT)[4] and charge transfer complex (CTC) formation.[5]For p-type doping, charge transfer (δ)
of effective charges
is said to take place when the electron affinity of the dopant is
higher than the ionization potential of the host (EAD >
IPH).[6,7] Then a two-step process occurs,
that is, (i) the transfer of one electron (δ = 1e) from the host to the dopant, generating a ground state integer
charge transfer (ICT), followed by (ii) thermal dissociation into
a localized charge on the dopant and a mobile polaron on the host.[8] The alternative mechanism involves partial hybridization
of the frontier orbitals between the dopant and host, creating new
bonding and antibonding orbitals leading to a noninteger δ,
often termed charge transfer complex (CTC).[9,10] Overall,
the difference between both mechanisms suggests that CTCs need to
interact with the unreacted host and then dissociate into free carriers;
thus, an extra step is required compared to the ICT species.[10,11]Evidence of these processes can be obtained by techniques
such
as optical absorption spectroscopy. For p-type doping, the ICT mechanism
is characterized by the appearance of new subgap transitions from
the localized radical anion (A– → A–*) and two transitions from the mobile polaron (P+ →
P+*) which, at high doping level, become a single transition
from a newly formed bipolaron (BP+ → BP+*).[12] In the case of the CTC mechanism,
the band gap between the newly formed orbitals is understood to follow
a Hückel model:which is affected by the IPH, the
EAD, and a resonance integral β that changes exponentially
with intermolecular distance and orientation.[13−18] For inferring the value of δ for tetracyanoquinodimethane
(TCNQ) derivatives, IR spectroscopy is used as there is a shift to
lower energies of the main −C≡N stretch vibrational
band upon charge transfer.[19,20] Moreover, rational
synthetic design can provide highly specific physicochemical and electronic
characteristics to certain molecular dopants and hosts,[18,21−24] whereby modifying their functional groups or size can effectively
change their electron affinity, ionization potential, miscibility,
and stability.[22,25,26]Doping of P3HT and PBTTT with F4TCNQ is known to proceed predominantly
by an ICT mechanism, yet exceptions have been reported for specific
processing techniques[17] or suggested for
very high dopant loadings.[19] For instance,
early experiments on the F4TCNQ/quaterthiophene system awoke interest
because it was found to follow a CTC mechanism (δ < 1), even
though ICT was expected due to the structural similarity to P3HT.[13] Subsequently, Jacobs et al. showed that increased
temperature during codeposition of the F4TCNQ/P3HT system can, in
fact, yield CTC, which was later attributed to a polymorph of P3HT.[17] In line with conventional theory, the electrical
conductivity of such systems was lower than in the ICT case, which
additionally showed very short lifetimes under ambient conditions.
Moreover, recent experiments by Kiefer et al. demonstrated a particular
case of “double doping” (δ = 2) for some PBTTT
derivatives doped with F4TCNQ. In their work, it was shown that a
polymer with a sufficiently low IP is capable of donating a second
electron to the new EA level of the F4TNQ radical anion.[6] On the other hand, Goetz et al. indicated that
there is an optimal value between the degree of charge transfer δ
and the peak electrical conductivity of small molecular semiconductors.[27] Whether conjugated polymers follow the same
behavior remains an open question.Long-term stability of doped
conjugated polymers is highly desirable—a
fact that has motivated numerous studies related to the diffusion
and migration of the dopant within the polymer network and/or layers.
Typically the dopant/host interactions are mostly weak van der Waals
and Coulombic forces, which lead to the eventual dedoping of the polymer
network.[28,29] It has also been suggested that the flexibility
of the polymer backbone and the available space within the side chains
dictate not only the doping limit but also the mobility and diffusion
of the dopant.[30] To this end, several straightforward
approaches to improve doping stability have been tested, such as the
use of bulkier dopants[26] and modification
of the chemical structure of dopants and/or hosts.[21,23,31] However, using bulkier dopant often carries
processability penalties, while changing the chemical structure can
lead to undesirable shifts of the respective energy levels.Because the presence of ICT and/or CTC depends on a combination
of energy levels and morphology, the doping method itself can also
play a key role in determining their relative contributions. Currently,
the “sequential processing method” is the most widely
used one for molecular doping: it avoids processability issues inherent
to the alternative “codeposition method” (e.g., complexation
in solution[32] and thus a limit on the amount
of dopant that can be added while maintaining solubility) and keeps
morphology changes to a minimum.[32−34] This results in a comparatively
high electrical conductivity due to the undisturbed morphology and
concomitant good charge carrier mobility (μ) of oriented or
semicrystalline polymers.[35,36] Typically the sequential
methods involve doping a precast polymer film either from the vapor
phase or from solutions in orthogonal solvents.[26,37,38] Contrary to codeposition, however, sequential
methods do not offer precise control of the dopant loading and suffer
from dopant diffusion limitations. This has motivated further developments
of the related processing schemes that utilize photochemical, thermal,
and reactive dedoping[33,39,40] to control the doping level and elsewhere optimization of multilayer
processing techniques[41] to address the
diffusion-limited problem. Specific processing methods that provide
controlled ICT/CTC ratios are yet to be reported.Here we demonstrate
that controlling the substrate temperature
and time during vapor doping results in a varying degree of the associated
CTC and ICT states in the F4TCNQ/PBTTT system. (Where appropriate,
comparisons are drawn with the more widely studied P3HT/F4TCNQ “reference”
system to establish the generality of the findings.) Hence, this allows
us to produce a set of samples with controlled ICT/CTC ratios and
explore their thermoelectric performance and its stability under thermal
stress. We find that samples processed to feature a moderate fraction
of the CTC exhibit improved long-term stability without sacrificing
electrical conductivity compared to samples where ICT dominates. These
findings are rationalized by using extensive spectroscopic analysis
as well as microscopy and structural characterization techniques.
Importantly, since ICT and CTC doping mechanisms have been found in
many different organic systems (see Table S1), our here presented conclusions regarding stability are likely
to be very general.
Materials
and Methods
Materials and Sample Preparation
Poly(3-hexylthiophene) (P3HT; regioregular; Mn = 50–100 kDa) from Sigma-Aldrich, poly(2,5-bis(3-tetradecylthiophen-2-yl)-thieno[3,2-b]thiophene) (PBTTT-C14; hereafter termed PBTTT, Mn = 50 kDa) from 1-Material, and 2,3,5,6-tetrafluoro-7,7,8,8-tetracyanoquinodimethane
(F4TCNQ) were purchased from TCI Chemicals. Chlorobenzene (>99%)
was
purchased from Sigma-Aldrich and conductive silver paint from RS Components.
All chemicals were used as received.Polymer films were fabricated
from 30 mg/mL (P3HT) or 20 mg/mL (PBTTT) solutions in chlorobenzene.
Solutions were stirred at 85 and 110 °C, respectively, for 3
h and used at this temperature for deposition. Films were deposited
in ambient atmosphere by using a blade coater preheated at 110 °C,
with a blade height of 200 μm at a speed of 30 mm/s. Finally,
P3HT and PBTTT films were annealed at 150 and 180 °C, respectively,
for 30 min and then allowed to cool slowly to room temperature. For
vapor doping, a closed container beaker with similar dimensions to
the setups reported in the literature[42,43] was chosen
as a doping vessel (Figure S1) and a hot
plate at 210 °C as the heat source. Then, large (∼75 ×
25 mm2) substrates precoated with polymer films were placed
on the lid and exposed to F4TCNQ vapor for a doping time (td) of 5 and 50 min in ambient conditions. These
samples are referred to in the upcoming text as partially and maximally
doped, respectively (Figure S2). Dedoping
of the maximally doped samples was done on a Kofler bench by using
a continuous dedoping temperature (Tdd) range of 70–120 °C for a dedoping time (tdd) of 20 min (Figure S1).
Then they were sliced into several rectangular sections, as shown
in Figure S1. Each ∼6 mm wide section
is presumed to be quasi-homogeneous regarding the dopant content.
Small deviations are expected either from thickness variations or
from the Kofler bench, which exhibits a temperature gradient of 6.7
K/cm. Yet, this only results in a variation in temperature of ±2
K for each 6 mm wide sample. Samples doped while controlling the polymer
substrate temperature were fabricated in a second setup, which, as
seen in Figure S3, consisted of a modified
reactor beaker with inbuilt heating elements.
Characterization
Vis–NIR spectra
were measured by using both a Bruker HYPERION FTIR microscope connected
to a VERTEX 70 spectrometer and a GES5E ellipsometer from Sopra/Semilab.
The dopant content was estimated by integrating the main transitions
of the F4TCNQ anion (A–), the neutral polymer (NP),
Beer’s law, and a known attenuation coefficient.[11,43] The fraction (χ) of CTC (χCTC) and ICT (χICT) states was estimated as the ratio between the integrated
intensity of their respective bands. IR spectroscopy was measured
using a PerkinElmer Spectrum One spectrometer from 4000 to 500 cm–1. The degree of charge transfer was calculated from
the shift Δν of the −C≡N stretch vibrational
band, which is observed for tetracyanoquinodimethanes (TCNQ)
derivatives upon electron transferwhere ν0 and ν1 correspond to the neutral and anion
stretch modes, respectively.[19,44]Raman spectra
were taken with a WITec alpha 300 RA+ confocal
microscope, coupled to an Olympus objective with 100× magnification
(NA = 0.9), and excited with a 488 or 785 nm solid state laser.The Seebeck coefficient and electrical conductivity were measured
by using a custom-built setup with a four-probe configuration. All
samples were sliced so that the typical sample area was approximately
20 mm × 6 mm. These were contacted with silver paint at the corners,
which served as electrodes. Electrical conductivity was measured by
using the van der Pauw method. Subsequently, for the Seebeck coefficient
measurement, the temperature gradient between two contacts was slowly
ramped from 0 to 40 K and measured with two T-type thermocouples,
while the voltage was recorded with a Keithley 2400 SourceMeter. The
Seebeck coefficient was extracted from a linear fit of the measured
slope. The thickness of the deposited samples was determined by using
a P16+ profilometer from KLA Tencor.The thermal conductivity
of the samples was measured by using a
custom-built frequency-domain thermoreflectance setup which will be
fully described in a future publication. In brief, a gold transducer
with 60 nm thickness was thermally evaporated onto the surface of
the samples. The wavelength of the pump and probe lasers was set at
405 and 532 nm, respectively, and the frequency range spanned between
1 kHz and 10 MHz. The maximum estimated temperature rise at the surface
of the transducer was about 2 K. In simple words, a sinusoidal high-power
excitation at 405 nm (about 2 mW) was focused onto the surface of
the transducer, creating a local sinusoidal temperature oscillation.
The resulting sinusoidal surface temperature wave was monitored through
the low-power probe laser. Finally, the phase lag between the pump
harmonic waves was measured by using a lock-in amplifier and modeled
by numerically solving the spherical heat equation. Thus, fitting
of the phase lag vs the applied frequency renders the thermal conductivity
of the thin films. A general detailed description of the operational
principle of this approach can be found elsewhere.[45]Grazing incidence wide-angle X-ray scattering (GIWAXS)
experiments
were conducted at the NCD-SWEET beamline in ALBA synchrotron (Spain).
The thin films were typically exposed for 1–5 s to an X-ray
beam with a wavelength of 0.998 Å at an incidence angle 0.12°.
2D scattering patterns were collected by employing a WAXS LX255-HS
detector from Rayonix (pixel size = 40 μm),
Results and Discussion
Doping Method To Obtain
a Desired CTC/ICT
Ratio
Owing to the success of doping from the vapor phase
and thermally induced dedoping, we employ these methods together with
the use of temperature gradients for the dedoping of F4TCNQ/P3HT and
F4TCNQ/PBTTT systems. As a first series of experiments, we prepared
samples following the protocols established in the literature and
thereafter investigated which processing parameters are relevant for
the formation of CTC and/or ICT states. For this, our “maximally
doped” samples (see the Materials and Methods section for details) of P3HT and PBTTT were dedoped by thermal annealing
in a continuous range of temperatures (Tdd = 70–120 °C) by using a Kofler bench, with the evolution
of the charge transfer states tracked via IR spectroscopy and optical
absorption spectroscopy (Figure S4).Figures a and 1b show the evolution of the IR spectra after partially
dedoping the polymer films. Here, for P3HT and PBTTT, we see three
peaks at 2194 cm–1 (B), 2187 cm–1 (SC), and 2170 cm–1 corresponding to the shifted
−C≡N stretching modes for δ = 1, which for neutral
F4TCNQ appear at 2227 cm–1 (N) and 2216 cm–1 (not resolved here). Moreover, Hase et al. reported a correlation
between the dopant’s location within the polymer network and
the B and SC modes.[20] Their work suggested
that B peaks correspond to dopant located within the backbone of the
polymer while the SC peak was mostly affected by the placement of
dopant within the side chains. In addition, their analysis highlighted
the different stability behaviors for the dopant at each position.[20] For our experiments, both polymers show the
presence of an additional peak at 2218 cm–1 (Figures a and 1b), which, according to eq , corresponds to a CTC with a δ = 0.2. We also
see that for P3HT (Figure a) the SC mode decreases in intensity upon heating while the
feature at 2218 cm–1 (CTC) increases with temperature.
For PBTTT (Figure b), the intensity of the CTC peak is clearly higher and at a similar
ratio than the SC peak after annealing at 120 °C (contrary to
P3HT). Also, there is a clear change in the ratio between the B and
SC modes as a function of Tdd, which differs
from the stability behavior previously seen in the literature.[20] Yet, it must be noted that doping protocols
are different and, thus also, the final crystalline structure of the
thin layer. Moreover, microscopy and thermoelectric analyses (Figures S5 and S6) show clear dedoping signs
after thermal annealing, further evidencing different stability behaviors
for the CTC and ICT states.
Figure 1
IR spectra for F4TCNQ-doped (a) P3HT and (b)
PBTTT, centered on
the −C≡N stretching region. In both cases, the data
correspond to samples dedoped at equivalent temperatures and times
(Tdd and tdd, respectively, as labeled in (a)). Arrows indicate the evolution
of each peak with increasing Tdd; the
dashed line (N) indicates the position of neutral F4TCNQ. Data are
normalized to the SC peak (2187 cm–1), and background
from polaron absorption is removed.
IR spectra for F4TCNQ-doped (a) P3HT and (b)
PBTTT, centered on
the −C≡N stretching region. In both cases, the data
correspond to samples dedoped at equivalent temperatures and times
(Tdd and tdd, respectively, as labeled in (a)). Arrows indicate the evolution
of each peak with increasing Tdd; the
dashed line (N) indicates the position of neutral F4TCNQ. Data are
normalized to the SC peak (2187 cm–1), and background
from polaron absorption is removed.The above experiments show (i) that there are clear spectroscopic
signatures of both ICT and CTC states in the maximally doped polymers
and (ii) that temperature may be used to change the relative ratio
between both doping mechanisms.Recent experiments by Lim et
al. indicated that doping from the
vapor phase at elevated substrate temperatures can improve doping.[43] They identified that after using a td of 15 min, polymer substrate temperature (Tsub) in their setup reached 75–80 °C. They
observed a linear increase in the alkyl- and π-stacking distance
during in situ GIWAXS measurements for the temperatures reached during
doping. This suggested an improved dopant diffusion through side chains
caused by thermal expansion.[43] In their
experiments, like in our initial tests, the substrate temperature
was only indirectly “controlled” by the doping time.
The doping vessel consisted of a 200 mL crystallization beaker with
a Petri dish as the lid and sample holder while heating was done by
placing the beaker on a hot plate at 210 °C, meaning that the
lid could easily have reached 75–80 °C in the case of
maximally doped samples. This suggests that a temperature-assisted
vapor doping process can improve dopant diffusion and allow for a
more controlled selection of the doping mechanism. Following this
line of thought, we designed a more versatile setup, capable of independently
controlling the temperatures of both the evaporation source and the
substrate (instrumentation shown in Figure S3).Hereafter, we analyze samples that were doped with controlled
substrate
temperature Tsub. Figure shows the screening process of different
doping conditions. The first approach (Figure a) consisted of increasing Tsub while keeping the doping time constant (td = 10 min). Here, we observe an increase in the A– features up to Tsub =
130 °C before they drop again from 150 to 190 °C. We attribute
the latter to simultaneous doping and dedoping (see Figure S6 and the discussion below).
Figure 2
(a) Absorption spectra
for PBTTT doped with F4TCNQ by using (a)
fixed doping time td at various substrate
temperatures Tsub and (b) fixed Tsub at various td. In (a), solid gray lines show the data for Tsub = 70–130 °C (bottom to top). The black dashed
line corresponds to PBTTT conventionally doped by using an unheated
substrate. Deep red curves represent the conditions depicted in the
upcoming text as containing a “moderate CTC fraction”
(c) IR spectra centered on the −C≡N stretching region
for PBTTT doped with F4TCNQ. The black curve corresponds to the unheated
substrate. In (a) the data are normalized to the PBTTT NP transition
while the data in (b) are normalized by thickness and offset for clarity
due to the nearly absent NP transition at 90 min.
(a) Absorption spectra
for PBTTT doped with F4TCNQ by using (a)
fixed doping time td at various substrate
temperatures Tsub and (b) fixed Tsub at various td. In (a), solid gray lines show the data for Tsub = 70–130 °C (bottom to top). The black dashed
line corresponds to PBTTT conventionally doped by using an unheated
substrate. Deep red curves represent the conditions depicted in the
upcoming text as containing a “moderate CTC fraction”
(c) IR spectra centered on the −C≡N stretching region
for PBTTT doped with F4TCNQ. The black curve corresponds to the unheated
substrate. In (a) the data are normalized to the PBTTT NP transition
while the data in (b) are normalized by thickness and offset for clarity
due to the nearly absent NP transition at 90 min.In addition, the absorption feature at 640 nm is now well separated
from the A– and NP bands, which unambiguously indicates
that it belongs to CTC features observed by IR spectroscopy in Figure . Reassuringly, the
electrical conductivity follows the same trend, reaching 85 S/cm at
130 °C and dropping to 28 S/cm at 190 °C (Table S2). Glass transition (Tg) and crystallization of the side chains in PBTTT occur at around
100 °C.[46] Hence, we rationalize these
changes to come from three different effects. First, an increased Tsub avoids excessive dopant condensation on
the polymer film surface, which would normally act as a “barrier”
for the incoming dopant (see also micrographs in Figure S6 and the discussion below). Second, increased alkyl
stacking distance due to thermal expansion improves diffusion through
the polymer structure. Third, after thermal expansion (presumably
from the side chains), inter- and intramolecular distances between
dopant and host change, leading to changes in d as
seen in other similar blends.[15]Next,
we evaluate the effect of different doping times (td = 10, 60, and 90 min) at a fixed substrate
temperature (Tsub = 130 °C). Figure b shows that the
CTC band increases while the A– features from the
ICT and NP bands decrease before bleaching entirely at 90 min. Accordingly,
the electrical conductivity drops from 85 to 3 S/cm (Table ). These results are in line
with the reports for P3HT and quaterthiophene.[13,17] As established in the literature, exciton dissociation of the ground
state ICT readily occurs at room temperature,[8] whereas CTC can be considered charge neutral due to a higher binding
energy.[10] In this sense, the drop in electrical
conductivity comes from an interplay of CTC/ICT fractions, where each
one has a different free charge carrier contribution.
Table 1
Dopant Fractions χ, Electrical
Conductivity, and Seebeck Coefficient as a Function of Doping Conditions
(Data Are Reported for the As-Doped Samples)
Tsub/td
χCTC
χICT
electrical conductivity [S cm–1]
Seebeck
coefficient [μV K–1]
nonheated/10 min
(low)
92
60 ± 3
130 °C/10 min
(moderate) 0.34
0.66
85
62 ± 4
130 °C/60 min
(high) 0.54
0.46
9
121 ± 14
130 °C/90 min
(maximum)
3
175 ± 31
Additional characterization using IR spectroscopy
(Figure c) reveals
a pronounced CTC
peak. Here, the B mode is now visible and in a higher ratio than the
SC mode. As these modes have been associated with dopant position
with respect to the polymer, one may argue that temperature-assisted
vapor doping results in dopant located at different places with respect
to “conventional” vapor doping with uncontrolled substrate
temperature (vide infra). Moreover, as in the work of Neelamraju et
al., fitting of the IR spectra would suggest different coexisting
charge-transfer states in all samples (Figure S7).[19] We thus
infer that a low χCTC fraction is present even in
samples doped by using an unheated substrate (Figure a, black dashed line), which then increases
both with Tsub and td, reaching χCTC = 0.54 when doped at 130
°C for 60 min (see Figure S7 and the
related text for examples of how these fractions were obtained from
spectroscopic data).In line with the literature, increasing
the χCTC within the total dopant content reduces
the electrical conductivity.
As stated before, although CTC is considered charge neutral,[10] some experiments were still able to measure
small, nonzero values of σ for doped samples, even though no
sign of ICT states was detected.[17] This
suggests that carrier generation probably still occurs with further
interaction from the present species, namely between neutral polymer
and CTC.[11] Even though this process is
less efficient, it still contributes to the macroscopic conductivity
with mobile charges. Most importantly, from Table we see that keeping χCTC below a certain threshold level (χCTC ≤
0.34) allows to maintain a comparatively high electrical conductivity.Table summarizes
the estimated ICT and CTC fractions (χ) and the corresponding
electrical conductivity and Seebeck coefficient values as a function
of doping conditions for the previous sample set. For simplicity,
“low”, “moderate”, “high”,
and “maximum” will be used in the following text to
identify samples with the respective CTC content.In this section,
we have demonstrated that by controlling the substrate
temperature and doping time, different ratios of CTC and ICT can be
obtained. The fact that increased Tsub and td result in higher CTC content
suggests that the two doping mechanisms may evolve differently if
provided with enough energy, which in return can result in different
stability trends. In the next section, we explore this interplay between
the long-term stability of the thermoelectric properties and the CTC
fraction.
Stability of the Thermoelectric Properties
as a Function of CTC Content
While different binding energies
have been presumed for the two doping mechanisms, there is little
to no information about how stable these species are. Long-term stability
is, however, crucial for thermoelectric applications. Research on
heavier/bulkier dopants and the modification of polymer structures
to increase molecular interactions are clear signs of its importance.[22,26] In the following section, we explore the effect of χCTC on the thermal stability of PBTTT.We have chosen to evaluate
the stability of thermoelectric properties by measuring the change
in electrical conductivity σ, Seebeck coefficient α, and
thermal conductivity κ of doped PBTTT samples as a function
of annealing time at elevated temperatures (in essence, an “accelerated
aging” test). Annealing conditions were chosen on the premise
that most dopant within the side chains leaves the polymer structure
above 100 °C, while small time increments allow screening a full
picture of the dedoping process.[20] Specifically,
annealing conditions were set in two regimes: (i) Tdd = 100 °C and tdd =
60 min in 10 min increments and (ii) extending the measurements to
longer intervals of 1, 2, 5, and 10 h. In essence, this would allow
visualizing both the intermediate and the extreme cases of the doped/dedoped
polymer. During this section, we compare samples containing low, moderate,
and high fractions of CTC states. Note also that although the selected
dedoping temperature Td = 100 °C
is sufficiently close to the glass transition temperature of PBTTT,
any concomitant morphological changes of the polymer itself are unlikely
since all samples were precrystallized by thermal annealing prior
to doping (see Materials and Methods section).Figure presents
the thermoelectric properties of the three samples with different
χCTC. The first noteworthy observation is that at
the starting point samples containing low and moderate χCTC exhibit almost identical values of electrical conductivity,
Seebeck coefficient, and thermal conductivity. This suggests that
the ICT fraction is dominating the electrical transport properties
of the different samples, and the corresponding microstructures are
sufficiently similar to result in equivalent thermal conductivities.
Figure 3
Thermoelectric
properties of doped PBTTT films as a function of
dedoping time at 100 °C: (a) electrical conductivity, (b) Seebeck
coefficient, (c) thermal conductivity, and (d) figure of merit ZT. Samples with high, moderate, and low χCTC correspond to open black squares, solid black squares, and green
circles, respectively. Dashed lines are a guide to the eye.
Thermoelectric
properties of doped PBTTT films as a function of
dedoping time at 100 °C: (a) electrical conductivity, (b) Seebeck
coefficient, (c) thermal conductivity, and (d) figure of merit ZT. Samples with high, moderate, and low χCTC correspond to open black squares, solid black squares, and green
circles, respectively. Dashed lines are a guide to the eye.As with previous experiments, electrical conductivity
(Figure a) in the
as-doped
samples (tdd = 0) yields nearly identical
values of ∼82 and 90 S/cm for samples with moderate and low
χCTC, respectively. Then, after 10 h, σ drops
to 6 and 0.01 S/cm for the samples with moderate and low χCTC, respectively. Interestingly, the sample containing a high
χCTC fraction did not exhibit any degradation of
its electrical conductivity for at least the measured period (60 min
at 100 °C, see details in Figure S8), maintaining a value of ∼9 S/cm. We draw attention to the
fact that the σ value at which the sample with a moderate CTC
saturates coincides with the σ value for the sample with a high
χCTC. This match strongly suggests that CTC is a
much more stable state than ICT under thermal stress and that the
drop in conductivity observed for the moderate χCTC sample is due to loss of the ICT (see also next section). Interestingly,
thicker samples also show the same trend: ICT is less stable than
CTC (Figure S8), which would suggest that
this is indeed a fundamental effect occurring within the bulk of the
film affecting the two doping mechanisms for the F4TCNQ/PBTTT system.The Seebeck coefficient α follows an opposite trend to σ
(Figure b): starting
at 60 μV K–1 and changing to 90 and 53 μV
K–1 after 30 min for the samples with low and moderate
χCTC, respectively. Then, after 10 h, α increases
in both series up to 173 and 110 μV K–1 for
the low and moderate χCTC cases, respectively. These
values agree with the final higher electrical conductivities found
in samples that originally had higher χCTC.Interestingly, the thermal conductivity κ of the as-doped
samples in the same set (Figure c) starts at lower values (∼0.3 W m–1 K–1) than the reference undoped PBTTT (∼0.8
W m–1 K–1). This is likely due
to a scattering effect for thermal transport induced by the interdiffusion
of the large molecular dopants and/or changes in the degree of crystallinity
upon doping (see next section). An in-depth study of the scattering
mechanisms will be the topic of a future work, as it goes beyond the
scope of the present piece. The thermal conductivity values do not
change significantly during the first 30 min of annealing but then
begin to increase, finally reaching values of around 1 and 5 W m–1 K–1 for samples with low and moderate
χCTC, respectively. The significant drop in electrical
conductivity within the same range (tdd = 2, 5, and 10 h) indicates a much lower number of charge carriers
for those samples compared to the as-doped which, following the Wiedemann–Franz
law, implies that the increase in κ is not due to the electronic
contribution of the thermal conductivity but rather the lattice one
(Figure S9). The similar κ values
for the undoped PBTTT reference and the highly dedoped samples (tdd = 2, 5, and 10 h) with low χCTC suggest that these samples are structurally similar to the reference.
As we will see below, the larger κ (5 W m–1 K–1) for strongly dedoped sample with initial
moderate χCTC is likely to be due to the formation
of F4TCNQ crystals on the surface of the sample upon continued thermal
stress.Figure d combines
these results into ZT values for both series which
after 30 min (tdd) show peak values of
0.08 and 0.05 for the low and moderate χCTC cases,
respectively. Here, the evolution of highly dedoped samples (tdd = 10 h) shows ZT values
of 1 × 10–5 and 4 × 10–4 for the low and moderate χCTC cases. Although the
electrical conductivity decreases in both cases, the samples with
moderate χCTC are more stable, as expected, even
when taking into account the (probably overestimated) high thermal
conductivity. A more realistic ZT estimate (correcting
for κ) for the moderate χCTC case after 10
h would be 0.002 (cf. 1 × 10–5 for the low
χCTC case).
Correlation of Stability
and Doping Mechanism
by Spectroscopic and Structural Characterization
To further
understand the thermal stability of these samples, additional characterization
was performed. Figure shows the evolution of the optical absorption spectra upon continuous
annealing for two samples featuring low and moderate χCTC. Here, both series show clear signs of dedoping as the absorption
spectra tend toward the shape of the undoped pristine film. Nonetheless,
the A– and CTC bands are still present at the end
of the experiment (black curve, after 10 h) in samples with moderate
χCTC (as opposed to the low χCTC case) and exemplified in the peak analysis in Figure c and Figure S7. For thicker samples, it is very clearly observed how the peaks
associated with the ICT (A–) are quenched much faster
than those associated with the CTC (Figure S8). This indicates that the rate of depletion of ICT state dopants
is substantially faster than that of CTC state dopants. In the following,
we try to assess whether this is due to the dopant being situated
in different locations with respect to the polymer or, alternatively,
is a result of a larger binding energy for the dopant to the polymer.
Figure 4
Absorption
spectra of doped PBTTT films as a function of dedoping
time at 100 °C for samples with (a) low and (b) moderate χCTC. (c) Peak intensity from fitted spectra and intensity ratio
between peaks associated with CTC and anion bands as detailed in Figure S7. Arrows highlight the evolution of
selected bands with increasing tdd. Data
are normalized at the NP transition for both samples.
Absorption
spectra of doped PBTTT films as a function of dedoping
time at 100 °C for samples with (a) low and (b) moderate χCTC. (c) Peak intensity from fitted spectra and intensity ratio
between peaks associated with CTC and anion bands as detailed in Figure S7. Arrows highlight the evolution of
selected bands with increasing tdd. Data
are normalized at the NP transition for both samples.Optical microscopy (Figure ) corroborates the differences in doping stability
between
the two sets. Here, the as-doped samples with a low χCTC (Figure a) show
a considerable amount of F4TCNQ crystals on the surface, previously
suggested to have a detrimental effect on doping by acting as a “barrier”
for the incoming dopant during processing. These crystals are particularly
well detected by using cross-polarized microscopy. Interestingly,
they disappear entirely after 1 h. On the other hand, the as-doped
samples with a moderate χCTC (Figure b) show no visible dopant crystals on the
film surface, presumably due to the fabrication method that employs
longer deposition times at temperatures above F4TCNQ sublimation.
Then, following postannealing, dopant crystals emerge from the polymer
network onto the surface (tdd = 1, 2,
and 5 h) before finally disappearing at the final step (tdd = 10 h). These crystals may be responsible for the
increase in thermal conductivity after long thermal stress, as measured
by frequency-domain thermoreflectance (Figure c).
Figure 5
Transmitted-light microscopy for the (a) low
and (b) moderate χCTC series, showing PBTTT films
as a function of dedoping time
(as indicated). Unpolarized (top row) and cross-polarized (bottom
row) micrographs are shown. Constant imaging settings were used. Scale
bar = 50 μm.
Transmitted-light microscopy for the (a) low
and (b) moderate χCTC series, showing PBTTT films
as a function of dedoping time
(as indicated). Unpolarized (top row) and cross-polarized (bottom
row) micrographs are shown. Constant imaging settings were used. Scale
bar = 50 μm.Also noteworthy are the
changes in color upon dedoping. Here, for
samples with a low χCTC, a rapid recovery of the
pink color of pristine PBTTT can be seen due to pronounced dedoping
and re-emergence of the absorption band of neutral PBTTT (Figure a). On the other
hand, the series with moderate χCTC (Figure b) shows a more gradual change,
consistent with the higher thermal stability of doping, with the emergence
of pink color seen only after 10 h. Hence, both absorption and optical
microscopy analyses confirm that samples featuring a moderate/high
χCTC are thermally more stable than samples dominated
by the ICT doping mechanism.Through our previous experiments,
we have shown that the presence
of CTC states within the total doped content improves the long-term
stability. Moreover, our IR analysis suggests that the processing
conditions that lead to increased χCTC are also accompanied
by the emergence of vibrational modes associated with the dopant allocated
within the polymer backbone, suggesting changes in morphology similar
to those reported for codeposition techniques. These results motivate
us to further analyze the structural changes of the polymer network.
Raman Spectroscopy
Figure shows the Raman spectra of
three representative samples with low, moderate, and maximum χCTC as well as that of the neat (undoped) PBTTT and F4TCNQ
references. The central region of the spectrum centered at ∼1500
cm–1 (Figure b) corresponds to vibrations related to the backbone of the
polymer, mainly carbon single/double bonds symmetric/asymmetric stretching/bending
modes. Accordingly, these vibrations localized in the conjugated core
are strongly affected by the generated carriers which navigate through
the π-system. As a result, the peak shifts follow the differences
in conductivity between the samples, from the film with higher conductivity
(low χCTC) toward the reference undoped PBTTT film.
Figure 6
Raman
spectra of doped PBTTT samples with different χCTC content as well as reference spectra of undoped/neat PBTTT
and neutral F4TCNQ (as indicated). Panels a–c show different
spectral regions. Vertical dotted markers indicate selected peak positions
for the samples with low/moderate χCTC. Excitation
wavelength λex = 785 nm; spectra are peak-normalized
for clarity. The data in (a) and (c) are magnified ×5 and ×20,
respectively.
Raman
spectra of doped PBTTT samples with different χCTC content as well as reference spectra of undoped/neat PBTTT
and neutral F4TCNQ (as indicated). Panels a–c show different
spectral regions. Vertical dotted markers indicate selected peak positions
for the samples with low/moderate χCTC. Excitation
wavelength λex = 785 nm; spectra are peak-normalized
for clarity. The data in (a) and (c) are magnified ×5 and ×20,
respectively.Higher energy vibrations (around
2500–3200 cm–1) are typically related to
modes involving lighter atoms, such as
the C–H stretching vibrations. In Figure c, we examine two modes centered at 2890
and 3090 cm–1 which are assigned to C–H2 stretching and aromatic C–H stretching, respectively.[47] The weaker 3090 cm–1 mode
cannot be well resolved in all samples due to variations in the signal-to-noise
ratio in the data. However, the more intense 2890 cm–1 mode belonging to the tetradecyl side chains of PBTTT is only observed
for samples with low/moderate CTC content while being absent for the
sample with maximum χCTC as well as the reference
PBTTT film. The latter suggests that the side-chain packing for the
sample with maximum χCTC closely matches that of
the undoped polymer, implying that in the CTC state the dopant is
unlikely to be located in the vicinity of the side chains. On the
other hand, the appearance of the 2890 cm–1 mode
for samples with low/moderate χCTC indicates that
the side-chain packing of the polymer is altered,[48] from which we infer that the dopant molecules forming the
ICT state are indeed preferentially located around the side chains,
in agreement with the IR data (Figure c). Therefore, besides possible differences for CTC
and ICT in the dopant–polymer binding energy, dopants are,
at least partially, located in different parts of the film.Finally, low-energy vibrations (centered at a few hundred cm–1) are associated with either vibrations involving
heavy atoms or vibrations extended over a larger group of atoms. This
is, for instance, the region where signatures of different polymorphs
are often observed. Given that the studied materials do not include
heavy atoms, the spectral changes in this region are thus interpreted
in terms of variations in polymer/dopant microstructure. Figure a shows, along with
the above-discussed softening of the PBTTT-related peak, the emergence
of two strong peaks at ∼298 and 344 cm–1.
By inspection of the reference spectra, it is clear that these peaks
are related to F4TCNQ, with their enhancement ascribed to the effect
of excitation at 785 nm being resonant with the absorption of F4TCNQ
radical anions (see Figure a). It is worth noting that these peaks exhibit a 5 cm–1 shift to higher energies for the sample with maximum
χCTC relative to the samples with low/moderate χCTC. This is indicative of (i) increased intermolecular interactions
for the CTC state and (ii) preferential placement of the corresponding
dopant within the crystalline polymer fraction of PBTTT given that
here the excitation is also preresonant with the absorption of crystalline
PBTTT.A natural extension of the analysis above is to compare
Raman spectra
recorded with different excitation wavelengths, λex, which, by virtue of resonant enhancement, would preferentially
select different species within the doped samples. Figure shows Raman spectra for the
same samples and spectral region as in Figure a recorded with excitation at 785 nm (as
above; preferentially exciting F4TCNQ anions and crystalline PBTTT)
and 488 nm (preferentially exciting amorphous PBTTT). As before, we
focus on the peaks at ∼300 and 340 cm–1.
Comparison of the data obtained with the two different excitations
shows that, remarkably, these peaks are entirely absent for the maximum
χCTC sample for λex = 488 nm (unlike
for λex = 785 nm; cf. Figures a and 7b), corroborating
the proposal that the CTC state dopant is indeed located primarily
within crystalline PBTTT regions. Conversely, a new peak is seen at
322 cm–1 for samples with low/moderate χCTC for λex = 488 nm which is absent in the
λex = 785 nm data. Although its origin is unclear,
the contrast with the maximum χCTC sample nevertheless
allows us to propose that the ICT state is formed by dopants located
primarily within the amorphous/interstitial regions of the polymer
network.
Figure 7
Raman spectra of doped PBTTT samples with different χCTC content as well as reference spectra of undoped/neat PBTTT
and neutral F4TCNQ (as indicated), showing an expanded view of the
250–500 cm–1 spectral region. Spectra were
recorded with excitation at (a) 488 nm and (b) 785 nm. Vertical dotted
markers indicate selected peak positions for the samples with low/moderate
χCTC. Data are peak-normalized in the 1380–1460
cm–1 region (as in Figure ).
Raman spectra of doped PBTTT samples with different χCTC content as well as reference spectra of undoped/neat PBTTT
and neutral F4TCNQ (as indicated), showing an expanded view of the
250–500 cm–1 spectral region. Spectra were
recorded with excitation at (a) 488 nm and (b) 785 nm. Vertical dotted
markers indicate selected peak positions for the samples with low/moderate
χCTC. Data are peak-normalized in the 1380–1460
cm–1 region (as in Figure ).
To further investigate the changes in the crystalline
part, we have analyzed the samples using GIWAXS. X-ray scattering
has been recently coupled with FTIR experiments to deduce dopant position
within host/dopant systems,[20] revealing,
in the case of P3HT, that doping generally modifies the spacing between
(h00) crystalline planes (associated with the lamellar
packing of aromatic backbones and aliphatic side chains) and (0k0) crystalline planes (associated with the π–π
stacking).Specifically, five changes have been observed and
correlated to other optical and/or electrical properties. (1) First,
low dopant content diffuses primarily into the amorphous regions,
which does not influence directly the scattering patterns but changes
significantly the electrical conductivity. (2) Increasing the dopant
content broadens scattering features but does not contribute to any
particular shift or new peaks. (3) Further increase in the dopant
content shifts the (100) peak toward lower q, indicating
an expansion of the lamellar packing. (4) The (0k0) peaks attributed to the π–π stacking, e.g.
(010), shift to higher q, indicating a contraction
of the lattice in that direction. (5) Finally, in high dopant content
regimes, the (010) reflection splits into new patterns, which has
been associated with mixed crystalline phases with different tilting
angles of the polymer backbone. It has also been attributed to the
intercalation of dopant between the polymer backbones and the formation
of dopant/polymer cocrystals.[19,43,49−51] PBTTT proceeds in a similar fashion, yet to our knowledge,
there are no literature reports that show patterns as those indicating
mixed crystalline phases in the (010) orientation.Our GIWAXS
patterns, shown in Figure , mostly agree with previously reported studies.[35,51] A detailed analysis of these GIWAXS patterns including the position
(i.e., the Q value) and fwhm of the diffraction peaks
as well as the corresponding d-spacing is provided
in Table . Our results
confirm a reduction of the π–π stacking distance
and an increase of the lamellar packing distance upon doping the polymer
(Figure b, dotted
lines). Additionally, we see the appearance of new peaks in the typical Q-region where the (010) shows up for the samples with moderate
and maximum χCTC (Figure b). However, these features are partially
masked by the appearance of peaks associated with neutral F4TCNQ crystals
both on the surface and within the polymer, which increase with increased
doping time (please refer to Figure S10 for the all GIWAXS patterns as a function of doping conditions).
Therefore, in agreement with the Raman spectra at low energies, the
crystalline structure of the PBTTT is distorted a little by the ICT
and more strongly when the CTC fraction increases (see Table ).
Figure 8
(a) 2D GIWAXS patterns
for selected samples. (b) Large integrated
patterns for the same samples as in the left panel as well for that
with maximal χCTC. (c) Sketch of suggested dopant
position with increased CTC content.
Table 2
Summarized Data from GIWAXS Patterns
(100)
(010)
Q (peak max, nm–1)
fwhm (nm–1)
d-spacing (nm)
Q (Peak max, nm–1)
d-spacing (nm)
pristine
PBTTT
annealed
3.1
0.42
2.03
17.4
0.36
nonannealed
3.16
0.29
1.99
17.4
0.36
doped PBTTT
low χCTC
2.84
0.41
2.12
18
0.35
moderate χCTC
2.8
0.19
2.24
max χCTC
2.76
0.33
2.28
17.9
0.35
(a) 2D GIWAXS patterns
for selected samples. (b) Large integrated
patterns for the same samples as in the left panel as well for that
with maximal χCTC. (c) Sketch of suggested dopant
position with increased CTC content.These distortions of
the molecular packing are compatible with
the positioning of the dopant molecules within interstitial regions
between aromatic backbones. The fact that the samples with increased
CTC content show a decreased intensity in the SC peak in IR (compared
to B), or the high-energy Raman peaks (Figure c), might be related to (i) spectroscopy
preferentially probing amorphous domains or (ii) CTC and ICT forming
different polymorphs or cocrystals. The appearance of new peaks in
the GIWAXS data supports the second option.
Conclusions
We have established a doping method to obtain
a desired CTC to
ICT fraction. The method relies on controlling the temperature of
the substrate during evaporation of the dopant. This enabled us to
assess the role of different CTC fractions in doped PBTTT films in
terms of their thermoelectric properties, namely, the electrical conductivity,
Seebeck coefficient, and thermal conductivity. Moreover, we followed
the thermal stability of the thermoelectric parameters upon continuous
exposure to 100 °C for ca. 10 h. We found that samples rich in
CTC are more thermally stable than those based on higher ICT fractions.
Interestingly, samples exhibiting intermediate CTC fractions result
simultaneously in good thermoelectric properties and improved stability.
To understand this, we performed a combined study including absorption,
polarized optical microscopy, Raman spectroscopy, and GIWAXS. The
resulting structural picture is that dopant molecules leading to CTC
preferentially affect the crystalline domains, thus being locked within
the crystal structure.
Authors: Ingo Salzmann; Georg Heimel; Steffen Duhm; Martin Oehzelt; Patrick Pingel; Benjamin M George; Alexander Schnegg; Klaus Lips; Ralf-Peter Blum; Antje Vollmer; Norbert Koch Journal: Phys Rev Lett Date: 2012-01-18 Impact factor: 9.161
Authors: Jack Fuzell; Ian E Jacobs; Sophia Ackling; Thomas F Harrelson; David M Huang; Delmar Larsen; Adam J Moulé Journal: J Phys Chem Lett Date: 2016-10-17 Impact factor: 6.475
Authors: Ian E Jacobs; Erik W Aasen; Derek Nowak; Jun Li; William Morrison; John D Roehling; Matthew P Augustine; Adam J Moulé Journal: Adv Mater Date: 2016-10-14 Impact factor: 30.849
Authors: Lars Müller; Seon-Young Rhim; Vipilan Sivanesan; Dongxiang Wang; Sebastian Hietzschold; Patrick Reiser; Eric Mankel; Sebastian Beck; Stephen Barlow; Seth R Marder; Annemarie Pucci; Wolfgang Kowalsky; Robert Lovrincic Journal: Adv Mater Date: 2017-06-06 Impact factor: 30.849
Authors: Jian Liu; Li Qiu; Giuseppe Portale; Marten Koopmans; Gert Ten Brink; Jan C Hummelen; L Jan Anton Koster Journal: Adv Mater Date: 2017-07-19 Impact factor: 30.849
Authors: Jun Li; Chris W Rochester; Ian E Jacobs; Stephan Friedrich; Pieter Stroeve; Moritz Riede; Adam J Moulé Journal: ACS Appl Mater Interfaces Date: 2015-12-16 Impact factor: 9.229
Authors: D Tyler Scholes; Steven A Hawks; Patrick Y Yee; Hao Wu; Jeffrey R Lindemuth; Sarah H Tolbert; Benjamin J Schwartz Journal: J Phys Chem Lett Date: 2015-11-19 Impact factor: 6.475
Authors: Edgar Gutierrez-Fernandez; Alberto D Scaccabarozzi; Aniruddha Basu; Eduardo Solano; Thomas D Anthopoulos; Jaime Martín Journal: Adv Sci (Weinh) Date: 2021-12-02 Impact factor: 16.806
Authors: Osnat Zapata-Arteaga; Aleksandr Perevedentsev; Sara Marina; Jaime Martin; Juan Sebastián Reparaz; Mariano Campoy-Quiles Journal: ACS Energy Lett Date: 2020-08-19 Impact factor: 23.101