Martina
Cattaruzza
a,
Yuan
Fang
b,
István
Furó
b,
Göran
Lindbergh
c,
Fang
Liu
d and
Mats
Johansson
*a
aDivision of Coating Technology, Department of Fibre and Polymer Technology, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden. E-mail: matskg@kth.se
bDivision of Applied Physical Chemistry, Department of Chemistry, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden
cDivision of Applied Electrochemistry, Department of Chemical Engineering, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden
dDivision of Materials and Manufacture, Department of Industrial and Materials Science, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
First published on 27th February 2023
Alternative electrolyte systems such as hybrid electrolytes are much sought after to overcome safety issues related to liquid electrolytes in lithium ion batteries (LIBs). Hybrid solid–liquid electrolytes (HEs) like the heterogeneous structural battery electrolyte (SBE) consist of two discrete co-existing phases prepared by polymerization-induced phase separation: one solid polymer phase providing mechanical integrity and the other one a percolating liquid ion-conducting phase. The present work investigates the ion and the solvent mobility in a series of HEs using morphological, electrochemical impedance and NMR spectroscopic methods. All the dried HEs exhibit a porous structure with a broad pore size distribution stretching down to <10 nm diameter. Penetration of the individual components of the solution, that is the ions and the solvent, in the solid polymer phase is demonstrated. Yet, it is the pores that are the main ion conduction channels in the liquid-saturated HEs and, in general, translational mobility is strongly dependent on the volume fraction and size of the pores and, thereby, on the initial liquid electrolyte content. We also observe that the translational mobility of solvent and the ions vary differently with the pore volume fraction. This finding is explained by the presence of small mesopores where the mobility strongly depends on the specific interactions of the molecular constituent with the pore wall. These interactions are inferred to be stronger for the EC/PC solvent than for the ions. This study shows how the morphology and the chemical composition of HEs affect the ionic and molecular transport in the system.
There are several alternative electrolytes. Polymers that can dissolve Li salts may form solid-state polymer electrolytes (SPEs).8 Ever since Armand proposed the application of SPEs to lithium batteries,9 a significant amount of research has been performed on this topic. Snyder et al. were the first to study the use of vinyl ester derivatives of poly(ethylene glycol) (PEG) for SPEs in multifunctional structural and energy storage applications.10,11 Although SPEs have been demonstrated to be more robust compared to conventional systems, their application in commercial LIBs is limited due to their low ionic conductivity (mostly ranging between 10−8 and 10−5 S cm−1 at ambient temperature compared to >10−3 S cm−1 for liquid electrolytes). Ion conduction can be improved using gel polymer electrolytes (GPEs), where plasticizers/organic liquid electrolytes swell the polymer matrix and lower its glass transition temperature thereby achieving conductivity in the order of 10−3 S cm−1.6,12,13
An emerging field is hybrid electrolytes (HEs) which are defined as electrolytes composed of at least two well-defined phases. One of the phases (or even both) conducts the ions and the other phase lends mechanical stability.14 There are several advantages to electrolytes with good mechanical properties. They make the separator unnecessary, can counteract lithium plating and short circuits and, in the case of structural batteries, are a prerequisite for their load-carrying properties. This concept leads to the use of polymer electrolyte membranes (PEMs) as an alternative to traditional liquid electrolytes in energy storage applications. In particular, Lodge et al. synthesized nanostructured PEMs via polymerization-induced phase separation (PIPS)15,16 obtaining a satisfactory combination of mechanical and electrochemical properties.
A promising example of HEs is solid–liquid electrolytes such as the structural battery electrolyte (SBE) where two discrete phases are formed via PIPS.17 The phase separation is governed by the difference in solubility parameters between the monomers and the formed polymers. At the end, a liquid ion-conducting phase percolates a thermoset structural phase where the latter provides mechanical integrity. The multifunctional properties of the SBEs showed great potential in energy-harvesting structural composite materials18 and for structural battery applications.19,20 Shirshova et al. investigated a series of SBE formulations, and demonstrated that the morphology of the porous network of structural electrolytes depends on the reaction kinetics and mechanism as well as the miscibility of the reagents, and the composition of the reaction mixture.21,22 This is akin to other porous structures, such as controlled-pore glasses, prepared via phase separation.23,24 A clear link between morphology, mechanical properties and ionic conductivity performances was proven, showing that these properties can be controlled by varying the proportion of reagents present in the resin formulation. Nevertheless, it is not fully understood how the porous structure, morphology and chemical composition affect the ion and molecular transport in HE systems.
Diffusion NMR (nuclear magnetic resonance) has been frequently used to study liquid dynamics in porous materials.25,26 In particular, 7Li (and 19F) diffusion NMR has emerged as one of the most accurate techniques to obtain information about the mobility of charge carriers and lithium salt–polymer interactions in polymer electrolytes.27–31 One specific advantage of the method is its capability to detect separately the motion of individual molecular/ionic components.
In this work, HEs with different percentages of liquid content were synthesized via PIPS. The mechanism of ion conduction was studied by a combination of morphological and diffusion NMR studies. The present study gives significant insight into the distribution of electrolytes inside the two-phase HEs and the factors contributing to their mobility.
For the HE film preparation, the electrolyte prepared was mixed with the monomer BPAMA and with the thermal initiator AIBN. The AIBN content was 1 wt% relative to the monomer content. The liquid electrolyte content varied between 40 wt%, 45 wt% and 50 wt% of the total weight.
For pBPAMA film preparation the monomer was mixed with 1 wt% AIBN and with a small amount (around 10 wt%) of the solvent (EC:PC 50:50 wt%) for the initiator dissolution. The chemicals were stirred until a homogeneous mixture was obtained.
The HE and pBPAMA resins were then poured into an aluminium mold (30 × 6 × 0.5 mm3) and covered with a glass slab. The specimens were subsequently clamped on both edges and vacuum-sealed into a pouch bag inside the glovebox. Finally, the bagged samples were transferred out of the glovebox and directly thermally cured at 90 °C for 45 min in a preheated oven. Henceforth, the prepared HE samples are denoted, respectively, as HE 40 wt%, HE 45 wt%, and HE 50 wt%.
Films of pBPAMA were soaked into different electrolyte formulations in order to quantify if and to what extent the electrolyte and/or the solvent penetrates and swells the thermoset polymer.
The tests were performed with:
• 50:50 wt% EC:PC without salt.
• 1 M LiTFSI in 50:50 wt% EC:PC (same salt concentration as used for the hybrid electrolytes).
• 2 M LiTFSI in 50:50 wt% EC:PC.
The films were first cut to size (approximately 10 × 3 × 0.5 mm3). The cut specimens were soaked in the aforementioned liquids and their respective masses were recorded before soaking and then every second day until reaching saturation. Prior to weighing, the surface of the soaked samples was carefully dried with tissue to remove all the liquid cover.
The amount of solvent and salt absorbed by pBPAMA was further quantified with NMR. pBPAMA samples were transferred into NMR tubes, to which 0.6 mL acetonitrile-d3 was added before sealing airtight. The solvent molecules and the ions taken up by bulk pBPAMA exhibit slower molecular dynamics and, therefore, very broad NMR peaks that remain undetectable (proven by separate experiments on the films before acetonitrile was added, see Fig. S2†) under the conditions set. Hence, any high-resolution liquid NMR signal detected from solvent and salt arose from those species released from pBPAMA into the liquid surrounding the films. The amount of EC/PC released was followed by 1H NMR via the peak integral at 4.52 ppm for EC and at 4.85/4.02 ppm for PC (see peak assignments in Fig. S3†). The amount of LiTFSI released was followed by 19F or 7Li NMR (with the Li:TFSI molar ratio set strictly to 1:1 by electroneutrality). Two samples of each formulation were measured.
The NMR measurements were conducted with a Bruker Avance III spectrometer at 11.7 T, equipped with a Bruker DIFF 30 probe. Single-pulse experiments with a 90° pulse and with the delay time set to over five times the respective longitudinal relaxation time were carried out.. 16 scans were collected for each measurement. Samples were gently shaken between measurements. All the measurements were conducted at 298 K. Quantitative data were obtained by relating the solvent (1H) and salt (7Li and 19F) spectral integrals to those from, respectively, 1H (10 mg EC and 10 mg PC dissolved in 0.6 mL acetonitrile-d3), 7Li (TraceCERT®, 1000 mg L−1 Li ions in dilute nitric acid) and 19F (1 M LiTFSI in EC:PC 1:1) external standard samples. The uncertainty was estimated from the signal-to-noise ratio of the respective peaks in the sample as shown in ref. 32 (see Fig. 4).
In order to compare their morphology and microstructure, the HE and pBPAMA samples were submerged in liquid nitrogen and cryo-fractured. The cross-sections of cured HE films were analyzed using a Hitachi SEM S-4800 microscope equipped with a cold field-emission electron source. The fractured cross-sections were mounted on an SEM sample holder with conductive carbon tape and they were subsequently coated with Pt/Pd using a Cressington 208HR sputter coater for 20 s (corresponding to ≈3 nm of the conductive coating layer, measured with a quartz crystal microbalance) at a current of 80 mA. The images were captured with an accelerating voltage of 1 kV at a working distance of 8–9 mm.
In the International Union of Pure and Applied Chemistry (IUPAC) classification of pore size, the micropore width does not exceed 2 nm (20 Å), the mesopore width is in the range 2–50 nm and the macropore width is above 50 nm.33 Such small pore sizes are difficult to visualize. In order to better reveal the porous structure without the interference from surface morphology of the fractured cross sections, a Leica EM TIC 3X triple ion-beam cutter was used to produce a large (up to a few mm2), fine ion-polished HE surface for SEM analysis. A piece of the HE sample (∼5 mm wide) was adhered to a Si wafer with similar size. The Si wafer provides a perfectly flat mask, which ensures a high-quality polish on the HE. In order to reduce the possible ion damage and thermal effect introduced by ion bombardment and at the same time balance the ion milling time, the argon ion source was set at an energy of 5–5.5 kV. The fine ion-polished surfaces were analyzed using a Zeiss Gemini 450 SEM. The SEM is equipped with a field emission electron gun. To mitigate the charging effect, an accelerating voltage of 1 kV was used at a working distance of 3–4 mm. The images with high resolution were recorded using an in-lens secondary electron detector. The equivalent average diameter values were calculated based on 270 pores from the 40% sample and 306 pores from the 50% sample. All the pores located at the edges of the SEM micrographs were excluded in the measurement in order to obtain a more accurate estimation of the pore size. Image analysis was carried out using an in-house Python program.
For the HE films, the analysis was conducted using a Gamry Series G 750 potentiostat/galvanostat/ZRA interface. The setup utilized consisted of a four-point electrode cell with gold wires as electrodes, two working electrodes (20 mm apart) and two reference electrodes (5 mm apart). The impedance was measured in the frequency range of 120 kHz to 1 Hz. The bulk resistance (Rb) was obtained from the low-frequency intercept on the real axis in the resulting Nyquist plot. The ionic conductivity σ was calculated as where l is the length between the reference electrodes (5 mm), Rb is the bulk resistance and A is the cross-sectional area of the sample. The cross-sectional area was estimated from the thickness and width of each sample measured by using a digital slide caliper. Three samples of each formulation were tested. Detailed error estimates were omitted because of the large (approx. 10%) inaccuracy of the thickness.
For the pure liquid electrolyte formulations, the ionic conductivity values were measured using a Mettler Toledo SevenCompact™ Conductivity S230 meter with an internal conductivity standard. Two samples of each formulation were tested.
Diffusion measurements were carried out using a GREAT60 gradient power supply that provides a maximum z-gradient strength of 1800 G cm−1 for the probe used. A stimulated echo pulse sequence was used with gradient duration δ set between 0.8 and 1.0 ms, diffusion time Δ set to 200 ms for 19F (in the anion), to 1000 ms for 1H (in the solvent) and to 800 ms for 7Li (in the cation) measurements. The gradient strength g was stepped up from 5 to 500 or 1300 G cm−1 for different samples in 10 steps. The diffusional decay was fitted using the Stejskal–Tanner expression to obtain the diffusion coefficient D,34 where γ is the magnetogyric ratio and S and S0 represent the integral intensities with and without gradient g, respectively. Typical diffusional decay for each nucleus is shown in Fig. S4.† All diffusion measurements were performed at 298 K. The error of diffusion coefficient was estimated to be 4–5% from the uncertainty derived when fitting the Stejskal–Tanner expression to the data using the Levenberg–Marquardt method. One sample of each formulation was tested.
Fig. 1 FTIR spectra of the resin (before curing) and of the film (after curing) showing the disappearance of the vinyl stretch peak at 1637 cm−1 (see the enlarged region) for HE 50 wt%. |
The FTIR results (Table 1) show that a very high conversion of the double bond was achieved for all hybrid electrolytes. For the bulk pBPAMA sample the conversion achieved was lower due to vitrification. This phenomenon is the transition from the rubber state to the glass state that occurs when the molecular weight of the forming polymer exceeds what is thermodynamically stable as a rubber.36
Sample | Average conversion [%] |
---|---|
HE 40 wt% | 95 ± 1 |
HE 45 wt% | 96 ± 1 |
HE 50 wt% | 95 ± 2 |
pBPAMA | 83 ± 2 |
The phenomenon causes a drastic slowdown of the reaction because of the reduced mobility of the reactants. In the hybrid electrolyte samples there is solvent present in the vicinity of the forming polymer chains, though at a concentration that is continually decreasing with increasing degree of polymerization and thus increasing phase separation. This feature should plausibly delay vitrification.
Fig. 2 Cross-sectional SEM micrographs of cryo-fractured HE 40 wt% (top) and of pBPAMA (bottom). All samples were dried beforehand. |
As can be seen from Fig. 2, the HE is composed of porous structures. In contrast, pBPAMA exhibits a compact structure and a smooth surface. Among different HE compositions, there is no significant variation in morphology detectable in the SEM images (Fig. S8†). However, it is impossible to compare the pore structure of HEs in detail with different formulations due to the complex surface topography, which smears the information of the pores. Note that SEM has limitations for the analysis of porous structures which are (i) SEM provides an image of a dried sample, which is not the actual electrolyte condition during the battery operation, (ii) the SEM image is a 2D projection of a small portion of the specimen and (iii) it is unclear how the fractured surface is affected by the sample preparation. Hence the images should be considered as qualitative rather than quantitative regarding pore space and interconnectivity.
To overcome these difficulties, we also performed ion polishing on the cross-sectional surfaces using a BIB. Two different HE formulations were studied by BIB-SEM. The samples analyzed had an electrolyte content of 40 wt% and 50 wt% since they are the two extreme specimens studied in the present study. Images are illustrated in Fig. 3 and in Fig. S9 of the ESI.† The milled surfaces of both specimens show macropores and mesopores (ranging from 200 nm down to <10 nm) and the samples look homogeneous (as can be seen in the image with lower magnification Fig. 3a) on the micrometer scale. The equivalent average diameter of the pores is 41 nm for the 40% sample and 48 nm for the 50% sample. This interconnected porous network filled with electrolyte is the ion transport pathway and lends ion conductivity to the HEs.
Fig. 3 BIB-SEM images of the 40 wt% (left) vs. 50 wt% (right) electrolyte content HEs at (a) lower magnifications (b) higher magnifications. |
Sample | Mass loss during release [wt%] | Difference between the initial content and released electrolyte amounts [wt%] |
---|---|---|
HE 40 wt% | 38.2 ± 0.4 | 1.8 |
HE 45 wt% | 42.2 ± 0.2 | 2.8 |
HE 50 wt% | 47.3 ± 0.1 | 2.7 |
Clearly, most of the electrolytes can be removed from HEs confirming the co-existence of two phases for the present system. This also confirms the nominal composition of HEs with a deviation of less than 3%. Therefore, the loss of electrolyte during the curing process is very small if any.
Conversely, the single-phase pBPAMA films prepared were soaked in LiTFSI in PC/EC of different concentrations (see Table 3) for 7 days to allow electrolyte components to be absorbed until the film weight reached saturation. The films before and after soaking were weighed using a scale and the results are summarized in Table 3.
Electrolyte concentration [M] | Mass before soakinga [mg] | Mass after soakinga [mg] | PC massb [mg] | EC massb [mg] | LiTFSI massb [mg] | Concentration of absorbed LiTFSIc [M] |
---|---|---|---|---|---|---|
a Determined by gravimetric measurements. b Determined by 1H or 7Li NMR. c Defined as the amount of absorbed LiTFSI relative to the absorbed solvent EC/PC (see details in the ESI). | ||||||
0 | 40 | 42 | 2.42 | 1.43 | — | — |
1 | 32 | 34 | 1.11 | 1.16 | 0.21 | 0.32 |
2 | 32 | 34 | 1.20 | 1.22 | 0.16 | 0.23 |
While LiTFSI determines conductivity, it constitutes only a small weight fraction of the electrolyte. Hence, the magnitude of LiTFSI and also EC/PC release from HEs and soaked pBPAMA were quantified separately by NMR experiments (see the Materials and methods). In the tests, the HE 45 wt% and soaked pBPAMA were immersed in DMSO-d6 and acetonitrile-d3 respectively. The released LiTFSI amount was monitored by quantitative 7Li or 19F NMR (assuming Li+:TFSI− = 1:1 required by electroneutrality). The released amount of EC and PC was monitored by quantitative 1H NMR of respective peaks (see Fig. S2†). The time courses of release are illustrated in Fig. 4 and the final values are summarized in Table 3.
Fig. 4 The amount of LiTFSI salt and solvent released from HE and pBPAMA. (a) The amount of LiTFSI released from HE 45 wt% to DMSO-d6 determined by 19F NMR. (b) The amount of LiTFSI released from pBPAMA to acetonitrile-d3 determined by 7Li NMR. (c) The amount of PC/EC released from pBPAMA to acetonitrile-d3 determined by 1H NMR. The LiTFSI amount on the left y-axis is the mass of LiTFSI relative to the total mass of the sample. The relative LiTFSI on the right y-axis is the mass of LiTFSI relative to the nominal LiTFSI content of the HE. The final released amount in mass units is presented in Table 3. The measurement uncertainty varies with the NMR signal-to-noise ratio32 and thereby the uncertainty of the measurements decreases from around 15–20% for the initial points until 0.4% LiTFSI amount, to around 5% for LiTFSI amount of more than 0.9%. |
Interestingly, we find that both the solvent EC/PC and the lithium salt LiTFSI can be absorbed into the bulk polymer phase and the uptake is around 8–10 wt% of electrolyte. This “swelling” occurs when a dry polymer is immersed in a solvent whose molecules can reversibly penetrate the polymer network and, consequently, expand it. However, the process reaches equilibrium set by the elastic forces of the cross-links (either physical or chemical) that counter-balance the volume expansion, thereby stopping further solvent absorption.37 Such swelling is not uncommon.38 The electrolyte content in HEs is much higher than in pBPAMA, 40–50 wt%. This is because HEs have a porous network which imbibes the bulk liquid electrolyte. Due to the same reason, electrolyte release from HEs and soaked pBPAMA is also very different, see Fig. 4. In HE 45%, most of the LiTFSI was released in the first hour and more than 99 wt% of the LiTFSI was extracted within three hours. This indicates a continuous pore network within which the electrolyte transport is fast. The soaked pBPAMA film on the other hand shows much slower release because the dynamics of the solvent molecule transport (not as bulk liquid but, presumably, individual molecules or very small clusters) within the polymer network is much slower. This is corroborated by the loss of the NMR signal of the molecules swelling the pBPAMA (see above).
The data above suggest that a small fraction of the electrolyte exists not only in the porous structures but also in the polymer phase. Notably, the individual compositions in Table 3 show that PC and EC were absorbed by pBPAMA with almost a 1:1 weight ratio and both were absorbed preferably compared to LiTFSI. This is evidenced by the fact that the equivalent (relative to the absorbed solvent) concentration of absorbed LiTFSI is around 0.2–0.3 M, which is far below the salt concentration (1 M/2 M) in the original electrolyte.
Sample | Conductivity [S cm−1] |
---|---|
1 M LiTFSI | 4.3 × 10−3 |
HE 40 wt% | 3.7 × 10−5 |
HE 45 wt% | 1.4 × 10−4 |
HE 50 wt% | 2.9 × 10−4 |
In order to elucidate the molecular mechanism responsible for this sharp increase, we analyzed the self-diffusion of the cation (Li+), anion (TFSI−) and the solvent (PC and EC) inside the HE by 7Li, 19F and 1H NMR diffusion experiments, respectively. We note here that the solvent data were recorded for the composite peak at 4.52 ppm, see Fig. S2,† that is dominated by the signal from the EC molecules. Yet, the diffusion coefficients of the PC and EC molecules in the solvent differ by just a few percent, see the ESI.† The obtained self-diffusion coefficients are summarized in Fig. 5a and Table S1† and show that the Li+, TFSI− and the carbonate molecules all diffuse faster in the HE with higher electrolyte content and they correlate well with conductivity values. A correlation between conductivity and increasing amount of electrolyte was also observed in porous gel electrolytes.39
The transference number was also calculated as:
Sample | Transference number t+ |
---|---|
1 M LiTFSI | 0.41 |
HE 40 wt% | 0.34 |
HE 45 wt% | 0.36 |
HE 50 wt% | 0.43 |
Yet, the striking feature of the diffusion data, as shown in Fig. 5b is that the reduction in the solvent diffusion relative to the respective value in bulk is far larger than that of Li+ and TFSI− diffusion. This observation in combination with the very strong dependence of conductivity and diffusion on the fraction of pores in the system poses a question on which structural features could be their cause. There are several molecular mechanisms that can contribute to the observed behavior.
A possible mechanism is the molecular exchange of both ions and solvent molecules between the electrolyte in the pores and in the polymer phase. If (i) that exchange is fast or comparable to the explored diffusion time (Δ = 200–1000 ms, depending on the nucleus, see above) and (ii) the diffusion of those species is slow in the polymer phase, the population average of the diffusion coefficients would be below the value observed in the bulk electrolyte. Yet, that average coefficient would vary in proportion to the surface-to-volume ratio of the pores (that is, over the initial electrolyte content) and that variation must be far weaker than the experimental observation shown in Fig. 5b. Hence, this mechanism is discarded.
Another possible mechanism also involves the partition of the electrolyte components into the polymer matrix and invokes pore closures (pore blocking) that is, moreover, becoming more frequent in the structures with large amounts of smaller pores.25 Such pore closures are more likely to be formed with a lower initial electrolyte content. To have a significant influence over the observed behavior, pore closures must be significant (explored several times) features within the region set by the average diffusional displacement, set in turn by the diffusion time Δ and the diffusion coefficient D as (6DΔ)1/2. This value is in the order of μm in our system (the actual value varies between 2 and 4 μm with the sample and the nucleus observed). When the different species encounter a pore closure that behaves like a barrier, the latter can only be passed if the species involved have a non-zero solubility in the barrier. In the present system, this barrier is the polymer phase. The data in Table 3 (last column) show that the solvent solubility in the polymer matrix is higher than that for LITFSI. Yet, the barrier permeability should increase with increasing solubility while we observed the opposite (Fig. 5). Hence, this mechanism is considered to be unlikely.
In the present study, the hypothesis that is considered as most likely involves no pore closures but the formation of very narrow (<10 nm) channels that appear with increasing frequency with decreasing electrolyte content. Again, to exert a significant influence, such narrow channels must be significant (explored several times) features within the region set by the average diffusional displacement. Mesopores were indeed observed in abundance in the BIB-SEM images. In such narrow channels, the specific interactions of the species with the wall has a very strong effect on the diffusion coefficient25 as has been demonstrated also for solvents and ions.40 To be able to reproduce the observed behavior, interactions between the channel walls and the solvent molecules that are stronger than the ones between the walls and the ions are needed. Indeed, this is consistent with the observed preferential absorption of the solvent by pBPAMA.
Finally, the question appears what mechanism provides narrower (or, far narrower or both) channels in the system with low (40 wt%) electrolyte content than that in the system with high (50 wt%) electrolyte content. While a final answer cannot be provided, an interesting feature can be pointed out. First, there are well-known and extensively studied porous systems, namely controlled-pore glasses, whose porous network is produced by phase separation, specifically as a result of the spinodal decomposition of two oxide phases.23,24 In such glasses, the pore topology is largely invariant and weakly dependent on composition.44–46 In other words, the pore systems look the same except every feature (pores as well as the matrix) being magnified by the same factor depending on the phase separation time (ripening). In such systems, one would expect no drastic increase of the presence of narrow channels by decreasing the proportion of pore volume by merely 20% (corresponding to the decrease of the initial electrolyte volume from 50 wt% to 40 wt%). Yet, in controlled pore glasses, the phase separation stage and the solidification stage are distinct. This is not the case for the present system where the phase separation is driven by the ongoing polymerization but, at the same time, that feature also increasingly immobilizes the molecules in the matrix as polymerization proceeds. In other words, the same mechanism, polymerization, is both the driving and the blocking force of phase separation. The structural features obtained under such conditions seem to be smaller and/or more numerous channels in the meso/micropore size range at a higher initial polymer content.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d3ta00250k |
This journal is © The Royal Society of Chemistry 2023 |