1. Introduction
Anion exchange membrane (AEM) fuel cells have gained significant attention due to their cost-effectiveness and high energy conversion efficiency [1,2,3,4,5,6,7,8]. In AEMs, quaternary ammonium (QA) head groups covalently bound to the polymer backbone are susceptible to chemical degradation under alkaline conditions and at elevated temperatures [9,10,11,12]. Improving the chemical stability of these QA head groups is critical for enhancing the long-term performance of AEMs in fuel cell applications.
In our recent computational studies, we investigated how the chemical structure of QA head groups affects their stability under alkaline conditions. For example, in one of our works, we explored the degradation mechanisms of trimethylhexylammonium (TMHA) and benzyltrimethylammonium (BTMA) head groups, focusing on key degradation pathways such as nucleophilic substitution () and ylide formation (YF) [13]. In another study, we examined the influence of hydration levels (HLs) on the chemical stability and transport properties of quaternized chitosan (QCS) head groups in AEMs, revealing how water content affects degradation under alkaline conditions [14]. These investigations, along with other studies in the literature, highlight the importance of both structural and environmental factors in determining the stability of QA head groups. Chempath et al. demonstrated that water content and solvation play a critical role in the stability of QA cations, with nucleophilic substitution and ylide formation being key degradation pathways in alkaline environments [15,16]. Similarly, Dekel et al. emphasized the importance of HLs, showing that reduced water content accelerates degradation through nucleophilic attack by hydroxide ions [17].
To enhance the stability of QA groups, structural modifications such as the use of aromatic cations like pyridinium have been explored, as they are less prone to Hofmann elimination, though they remain susceptible to nucleophilic substitution if not adequately protected [18]. Recent studies have also focused on alternative cations such as piperidinium and quinuclidinium, which exhibit superior alkaline stability compared to traditional QA groups. For example, Zhao et al. demonstrated that bis-piperidinium-based AEMs exhibit excellent stability due to the absence of ether linkages and the inclusion of flexible alkyl spacers [19], while Zeng et al. showed that N-methylquinuclidinium-based AEMs maintain ultra-high stability in concentrated alkaline solutions [20]. Moreover, the incorporation of these modifications, along with crosslinking strategies and ether-bond-free polymer backbones, has significantly improved the overall chemical stability of AEMs [18,21,22].
Building on this prior work, we now shift our focus from the chemical structure of QA head groups to the effect of the solution environment, specifically the impact of Deep Eutectic Solvent (DES). DES, which is a eutectic mixture of Lewis or Brønsted acids and bases, exhibits several favorable properties, including biodegradability, non-toxicity, and low vapor pressure [23,24,25,26,27,28,29]. Recent studies have shown that integrating DES into polymer electrolytes can significantly enhance both performance and stability, particularly in lithium-metal batteries, where they improve safety and overall efficiency [30,31,32]. Additionally, DES has been explored as potential electrolytes in proton exchange membrane fuel cells (PEMFCs), achieving higher power densities and improved thermal stability [33]. Beyond energy storage, DES has found applications in membrane fabrication and separation processes, driven by their environmentally friendly properties [34]. Notably, DES-supported polymer-based AEMs, such as those developed using poly(vinyl alcohol) nanofibers, have demonstrated enhanced ionic conductivity and mechanical stability compared to traditional AEMs, effectively addressing challenges like low stability in alkaline environments [35]. These advancements highlight the growing importance of DES in fuel cell technologies and other membrane-based applications. However, despite its potential to improve the stability of chemical systems, the role of DES in stabilizing QA head groups in AEMs remains underexplored.
In this work, we employed Density Functional Theory (DFT) calculations and ab initio Molecular Dynamics (MD) simulations to study the chemical stability of tetramethylammonium (TMA) head groups, both with and without the presence of a choline chloride and ethylene glycol-based DES. The interactions between hydroxide () ions and TMA head groups were analyzed across various HLs and temperatures. By incorporating DES molecules, we aimed to explore their role in modulating the degradation mechanisms of TMA head groups, providing insights into the development of more chemically robust AEM materials.
In the following sections, we present our computational approach, including the DFT and ab initio MD methods, followed by an in-depth analysis of the stability of TMA head groups under different HLs and temperatures. This study offers new insights into the suppression of degradation mechanisms through the addition of DES, contributing to advancements in AEM-based renewable energy technologies.
2. Model and Methods
2.1. System of Interest
In this study, we modeled a choline chloride and ethylene glycol-based DES, as shown in Figure 1, at a 1:2 molar ratio. The DES was combined with QA head groups, ions, and water molecules to simulate the environment relevant to AEMs. These components were used to assess the chemical stability of TMA head groups under various conditions. The TMA head group of the AEM segment was chosen as the model system, and its interactions with ions were studied in both the presence and absence of DES. This computational model was used for DFT calculations and ab initio MD simulations to evaluate how DES influences the degradation mechanisms of the head groups, with a particular focus on varying HLs and temperatures. The aim was to simulate the behavior of the AEM in DES-supported environments and provide insight into how these factors contribute to the chemical stability of the TMA head groups.
2.2. DFT Calculations
DFT calculations were employed to optimize the electronic ground state geometries and perform frequency calculations, yielding key thermodynamic parameters: reaction energy (), Gibbs free energy change (), activation energy (), and activation Gibbs free energy (). These calculations were crucial for understanding the stability of TMA head groups in AEMs and the degradation mechanisms triggered by interactions with . The hydroxide ions were assumed to originate from KOH or NaOH solutions used experimentally, reflecting the conditions typically present in AEM environments. The B3LYP functional, with the 6-311++g(2d,p) basis set, was used in conjunction with the polarizable continuum model (PCM) to simulate solvent effects [36,37]. The choice of the B3LYP functional is supported by its proven performance in calculating accurate thermodynamic properties and geometries, as demonstrated by Gill et al. [38]. Additionally, the use of the 6-311++g(2d,p) basis set follows the recommendations for highly accurate Gaussian basis sets provided by de Castro and Jorge [39]. The optimization of TMA head groups was carried out in the presence and absence of ions, both with and without DES.
To model the and YF degradation mechanisms, transition state structures were identified using the same level of theory, with DFT optimizations performed in implicit DMSO [17,40]. DMSO was selected due to its ability to represent a polar, aprotic environment, which is particularly suitable for stabilizing the transition state of the degradation mechanisms considered in this study. Previous studies have demonstrated that DMSO provides an effective environment for evaluating the stability of QA groups under low hydration conditions, allowing for detailed exploration of their behavior [17,40]. The hydration level was varied by explicitly adding water molecules to the system, and transition states were optimized to investigate the stability of the head groups under different hydration conditions. The calculated reaction and activation energies for both and YF mechanisms were used to assess the stability of TMA head groups in the presence and absence of DES.
The chemical degradation mechanisms are represented by the following reactions: and YF for both DES-supported and unsupported systems, as shown in Equations (1)–(6). and were calculated using Equations (7) and (8), while and were calculated using Equations (9) and (10). Additionally, basis set superposition error (BSSE) was corrected using the counterpoise method to ensure accurate transition state energy evaluations.
(1)
(2)
(3)
(4)
(5)
(6)
(7)
(8)
(9)
(10)
The DFT calculations for static electronic structure optimizations and frequency analyses were performed using the GAUSSIAN16 software package (Gaussian, Inc., Wallingford, CT, USA) [41]. Post-analysis was conducted using GaussView (v6.0) [42].
2.3. Ab Initio Molecular Dynamics
Each ab initio MD simulation began with an initial configuration consisting of the TMA head group, ion, and water molecules, placed in a simulation box with dimensions . Water molecules were added explicitly to tune the HL of the system, as the hydration state is critical to understanding the degradation mechanisms of AEMs in practical applications.
Atomic forces were computed using DFT with the BLYP functional. The Kohn–Sham orbitals were represented using a hybrid Gaussian plane-wave (GPW) approach, which combines Gaussian-type orbitals with plane-wave basis sets to efficiently construct the Kohn–Sham matrix while maintaining accuracy. Goedecker–Teter–Hutter (GTH) pseudopotentials were used to represent core electrons, with adjustments made for the density functionals employed. To optimize computational efficiency, matrix elements smaller than were disregarded, and a plane-wave cutoff of 400 Ry was applied. The choice of this cutoff value was guided by a recent study by Alizadeh et al. [43], where a similar plane-wave cutoff was employed in DFT simulations of DES and demonstrated to provide a good balance between accuracy and computational efficiency. Dispersion forces were included using the Grimme D3 approximation, with a convergence criterion for the self-consistent field (SCF) set to .
Energy minimization was first performed under the NVE ensemble for 10 ps to optimize the initial configuration. Following this, the simulations were conducted for 50 ps using the NVT ensemble at reference temperatures of 298 K, 320 K, and 350 K. Temperature control was managed using the Generalized Langevin Equation (GLE) method [44], and periodic boundary conditions were applied in all directions [45]. All simulations were performed using the CP2K software suite (version 9.1) [46], and bond distances were analyzed at various HLs and temperatures using Visualization Molecular Dynamics (VMD) software (version 1.9.1) [47].
3. Results and Discussion
3.1. Electrostatic Potential Map
Molecular electrostatic potential (ESP) maps were employed to visualize the interaction between ions and the TMA head group in the presence of DES molecules, using the B3LYP DFT method. Initially, ions were positioned near the nitrogen atom of the TMA head group to neutralize its positive charge. The resulting charge distribution of the TMA head group, with the presence of DES, is displayed in Figure 2. The ESP map highlights the predominant interaction between ions and the nitrogen atom of the TMA head group, stabilizing the positive charge. This interaction is a critical factor in enhancing the chemical stability of the TMA head group in the DES environment.
Further analysis of the ESP map indicates that ions tend to occupy the space formed by the three methyl groups surrounding the nitrogen atom. This arrangement may contribute to a stabilizing effect of DES, as it could reduce the reactivity of ions toward the head group, potentially lowering the likelihood of nucleophilic attacks. In practical AEM applications, where the TMA head group is typically tethered to the polymer backbone, DES may offer a means to mitigate degradation under alkaline conditions. While these ESP maps offer useful insights into charge distribution and possible interaction sites, they represent a simplified view of the complex interactions at play. Further research will be required to fully understand the stabilizing effects of DES and its practical impact on AEM stability.
Under operational conditions in AEM fuel cells, increasing current density accelerates water consumption at the cathode, which can lead to a drier environment. In such conditions, ions that are not solvated by water molecules exhibit higher nucleophilicity, potentially accelerating the degradation of TMA head groups. Conversely, when ions are adequately solvated, their nucleophilicity is reduced, which underscores the importance of water content in influencing AEM stability. As water content decreases, the concentration of ions increases, potentially raising the risk of nucleophilic attacks on QA head groups. Understanding this degradation mechanism is important for evaluating the long-term performance of AEMs in fuel cell systems. Future studies that explore the effects of HLs and temperature will be valuable for refining our understanding of these interactions and their implications for AEM performance.
3.2. Activation and Reaction Energies
DFT calculations using the B3LYP hybrid functional were employed to investigate the chemical degradation reactions between ions and the TMA head group, focusing on the evaluation of reaction energies (, ) and activation energies (, ) for these reactions in both the absence and presence of DES. The results (Table 1, Figure 3 and Figure 4) provide crucial insights into the degradation mechanisms of TMA-based AEMs in alkaline environments, particularly highlighting the stabilizing role of DES. Compared to other theoretical studies, such as those by Chempath et al. [15,16], the calculated values of and in the absence of DES align with previously reported data [15] for and YF mechanisms. However, to the best of our knowledge, the role of DES in modifying these degradation mechanisms, specifically in terms of , , , and , has not been explored in the literature, marking this study’s contribution to understanding the role of DES in these reactions.
3.2.1. Ylide Formation Mechanism
The YF degradation mechanism was analyzed in two distinct steps. In the first step, the activation energy barrier was found to be moderate, with of 18.02 kJ/mol and of 36.63 kJ/mol. The corresponding reaction energies ( and ) were 16.95 kJ/mol and 26.81 kJ/mol, respectively, suggesting that while the reaction is thermodynamically favorable, it is less so compared to the mechanism.
In the second step of the YF mechanism, we observed a significant decrease in both and , with values of −135.21 kJ/mol and −175.52 kJ/mol, respectively. This indicates a highly exergonic reaction, favoring the spontaneous degradation of the TMA head group in the absence of DES. The activation energy barrier for this step was still relatively low, with kJ/mol and kJ/mol, further supporting the spontaneous nature of the YF mechanism.
3.2.2. Nucleophilic Substitution Mechanism
The mechanism displayed lower activation barriers than the YF mechanism, indicating it is more likely to occur under standard alkaline conditions. For the reaction without DES, the activation energy () was significantly lower than in the YF mechanism, with the reaction remaining spontaneous and exergonic. These findings align with previous research by Chempath et al. [15,16], which identified the and YF mechanisms as key degradation pathways for TMA in the presence of ions. The low activation barriers in both mechanisms suggest that these pathways are prominent under alkaline conditions in the absence of DES.
3.2.3. Impact of DES on Activation and Reaction Energies
In the presence of DES, a notable increase in the activation energy barriers was observed for both the YF and mechanisms. For the mechanism, increased to 54.62 kJ/mol, with a substantial rise in to 100.43 kJ/mol. Despite these higher energy barriers, the reaction remained exergonic and spontaneous, as reflected by kJ/mol and kJ/mol. This suggests that the presence of DES introduces a kinetic barrier that slows the degradation process, thereby improving the chemical stability of the TMA head group.
The effect of DES on the YF mechanism was similarly significant. In the first step of the YF mechanism, increased to kJ/mol and to kJ/mol, indicating that the presence of DES raises the energy barrier for this degradation pathway. Reaction energies also shifted towards more endergonic values, with kJ/mol and kJ/mol, suggesting that the DES environment stabilizes the system. In the second step of the YF mechanism, the presence of DES further increased both activation and reaction energies, with kJ/mol and kJ/mol. Although still exergonic, with kJ/mol and kJ/mol, the increased energy barriers highlight DES’s role in slowing the degradation process.
The increase in activation energy barriers in the presence of DES underscores its potential as a stabilizing agent for TMA head groups in AEMs. By altering the local ESP, DES raises the energy barriers for both and YF degradation pathways, effectively mitigating the degradation process. This enhanced chemical stability is crucial for the long-term performance of AEMs in alkaline environments (Supplementary Materials).
The higher energy barriers observed in this study suggest that incorporating DES into AEM systems could significantly extend the operational lifetime of these membranes under alkaline conditions. To further explore the stability-enhancing role of DES, we conducted ab initio MD simulations to investigate the influence of HLs and temperature on degradation mechanisms. Understanding the impact of these conditions is essential for optimizing AEM performance in real-world operating environments, where moisture content and temperature fluctuations play a critical role in the chemical stability of QA head groups.
On the method side, although empirical dispersion corrections were not applied in the static DFT calculations, this decision was made to maintain consistency with previous studies that focused on similar QA head group systems without incorporating these corrections [13,15]. However, empirical dispersion corrections, such as Grimme D3, could provide additional accuracy by capturing long-range interactions, especially in systems where dispersion forces play a more pronounced role. This approach is employed in our ab initio MD simulations, where dispersion corrections accounted for intermolecular forces like hydrogen bonding and charge transfer in DES environments. While dispersion effects may be less significant for short-chain TMA cations, their inclusion in future studies, particularly for larger alkyl groups or different DES formulations, could further improve the accuracy of the thermodynamic and kinetic parameters. Studies such as Zaitsau et al. highlight the importance of accounting for dispersion forces in gas-phase calculations, especially for ionic systems [48].
3.3. Effect of Hydration Level
The influence of hydration level on the chemical degradation mechanisms of the TMA head group in the presence of ions was investigated. Bond-breaking events, particularly the C/N and H/C bond distances, were analyzed as indicators of potential and YF reactions, leading to the production of methanol and trimethylammonium. The analysis covered three HLs: HL 1, HL 3 (representing typical operating conditions), and HL 5, both in the absence and presence of DES (Figure 5). To clarify, the TMA head group contains twelve C-H bonds and four C-N bonds, all of which are plotted in Figure 5 to show their bond distances over time under different hydration levels (HLs). Some of these bonds remained relatively stable and did not exhibit significant changes in bond distance during the simulation, leading to overlapping curves. However, for bonds where distance changes occurred, these variations are clearly visible and highlighted in the respective graphs.
At HL 1 and a temperature of 298 K, the C/N bond distance within the TMA head group remained stable at approximately 1.50 Å, indicating minimal bond-breaking events and low reaction potential, regardless of DES presence (Figure 5). However, the H/C bond distance increased significantly from 1.10 Å to 2.12 Å in the absence of DES, suggesting potential YF activation. In contrast, the presence of DES maintained the H/C bond distance at around 1.10 Å, effectively suppressing the YF mechanism (Figure 5).
At HL 3 and 298 K, the C/N bond distance also remained stable, further supporting the low likelihood of reactions under these conditions (Figure 5). The H/C bond distance, however, increased to 2.61 Å without DES, indicating a higher propensity for YF reactions. In the presence of DES, the H/C bond distance was stabilized at around 1.10 Å, inhibiting the YF mechanism (Figure 5).
At HL 5 and 298 K, the C/N bond distances remained stable, showing a low likelihood of reactions at this hydration level (Figure 5). The H/C bond distance remained consistent around 1.10 Å, regardless of DES presence, indicating minimal YF mechanism activity at this hydration level and temperature (Figure 5).
The investigation provided insights into bond-breaking events within the TMA head group. Across all HLs at 298 K, minimal bond-breaking events were observed, indicating a low likelihood of reactions. The YF mechanism, influenced by both HLs and the presence of DES, showed greater activation potential at lower HLs. However, DES effectively suppressed the YF mechanism by stabilizing the H/C bond distance. At higher HLs, the YF mechanism remained subdued regardless of DES, emphasizing the importance of hydration in controlling degradation pathways. These findings highlight the interplay between hydration and degradation mechanisms.
3.4. Effect of Temperature
The effect of temperature on the bond distances within the TMA head group in the presence of ions was examined, with an emphasis on potential and YF reactions. The study was carried out at three temperatures: 298 K, 320 K, and 350 K, both in the absence and presence of DES. The analysis tracked changes in the C/N and H/C bond distances (Figure 6). Since the TMA head group contains twelve C-H bonds and four C-N bonds, overlapping curves are observed for bonds that remained stable, while variations are clearly visible for bonds that showed significant changes during the simulation.
At 298 K and hydration level (HL) 3, the C/N bond distance remained at approximately 1.5 Å in both the presence and absence of DES, indicating that no significant bond-breaking events were observed that might suggest reactions (Figure 6). In contrast, the H/C bond distance increased from 1.20 Å to 2.61 Å in the absence of DES, potentially indicating activation of the YF mechanism. With DES present, the H/C bond distance remained around 1.10 Å, suggesting that DES may have had a stabilizing effect (Figure 6).
At 320 K and HL 3, the C/N bond distance increased to 6.3 Å in the absence of DES, suggesting the occurrence of bond-breaking events and the potential for reactions (Figure 6). In the presence of DES, the C/N bond distance remained stable at around 1.55 Å, with no significant bond-breaking observed. The H/C bond distance showed little variation, staying close to 1.10 Å in both cases, suggesting that YF activation was limited at this temperature (Figure 6).
At 350 K and HL 3, the C/N bond distance increased further to 6.56 Å without DES, indicating the possibility of bond-breaking events and reactions (Figure 6). With DES present, the C/N bond distance stayed near 1.58 Å, and no significant bond-breaking was observed. Similar to previous results, the H/C bond distance remained consistent around 1.10 Å, regardless of DES, indicating minimal YF mechanism involvement at this temperature (Figure 6).
These observations suggest that temperature affects the likelihood of bond-breaking events in the TMA head group. The presence of DES appears to reduce the occurrence of these events across all temperatures studied, particularly in relation to and YF reactions. While the YF mechanism may have been more active at lower temperatures, higher temperatures seemed to promote reactions. These findings offer insight into the behavior of the TMA head group under varying thermal conditions, with the influence of DES observed to be a potential stabilizing factor.
4. Conclusions
In this study, we explored the chemical stability of TMA head groups, both with and without the presence of a choline chloride and ethylene glycol-based DES additives using DFT calculations and ab initio MD simulations. The investigation focused on key degradation mechanisms, such as and YF, and the impact of DES addition on these mechanisms across different HLs and temperatures.
Our results indicate that DES effectively enhances the chemical stability of TMA head groups by consistently increasing the activation energy barriers for both and YF mechanisms. In the absence of DES, YF was observed to dominate at lower HLs, while nucleophilic substitution became more prominent at elevated temperatures. However, in the presence of DES, both degradation mechanisms were significantly suppressed across all tested conditions, suggesting that DES acts as a stabilizing agent for the TMA head groups.
The ESP maps demonstrated that DES alters the interaction between ions and the TMA head group, reducing the reactivity of ions and thereby enhancing the chemical stability of the TMA groups. Additionally, DFT calculations showed that DES raised both reaction and activation energy barriers, further supporting the conclusion that DES plays a critical role in mitigating degradation.
Our ab initio MD simulations revealed that HLs strongly influence the stability of TMA head groups. YF was more likely at lower HLs in the absence of DES, while nucleophilic substitution became more probable at higher temperatures. The presence of DES, however, stabilized the TMA head groups under both conditions, reducing the likelihood of degradation.
Although DES additives seem to offer advantages in terms of enhancing the chemical stability of AEM head groups, their real-world application may still present challenges, particularly related to long-term stability and interactions with membrane components. Future experimental and computational studies should focus on optimizing DES composition to improve fluidity and compatibility with membrane materials, thereby enhancing their long-term stability and performance in practical applications.
In conclusion, the incorporation of DES into AEM systems offers the potential for improving the chemical stability of TMA head groups, particularly under alkaline conditions. Future work should focus on the experimental validation of these findings and the optimization of DES formulations for practical applications in AEMs, with the goal of enhancing membrane durability and performance in fuel cell technologies.
M.K.: Computational Methodology, Formal Analysis, Writing—original draft; B.M.: Conceptualization, Writing—review & editing; Y.W.: Supervision, Conceptualization, Formal Analysis, Writing—review & editing; A.M.: Funding acquisition, Writing—review & editing. All authors have read and agreed to the published version of the manuscript.
Not applicable.
Not applicable.
The data and materials are available from the authors upon request.
The authors are also grateful to Nazarbayev University Research Computing for providing computational resources for this work.
The authors have no conflicts to disclose.
The following abbreviations are used in this manuscript:
AEM | Anion Exchange Membrane |
BSSE | Basis Set Superposition Error |
DES | Deep Eutectic Solvent |
DFT | Density Functional Theory |
Reaction Energy | |
Activation Energy | |
Reaction Free Energy | |
Activation Free Energy | |
HL | Hydration Level |
MD | Molecular Dynamics |
Hydroxide Ion | |
QA | Quaternary Ammonium |
YF | Ylide Formation |
Nucleophilic Substitution |
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Figure 1. Molecular structures of the key components in the study, including choline chloride–ethylene glycol-based DES and TMA head group.
Figure 2. Molecular electrostatic potential map of the TMA head group in the presence of choline chloride and ethylene glycol at a 1:2 molar ratio, along with a [Forumla omitted. See PDF.] ion. The map illustrates the charge distribution and interaction sites, showing the stabilizing effect of DES on the TMA head group by neutralizing its positive charge and reducing the reactivity of [Forumla omitted. See PDF.] ions.
Figure 3. Illustration of the transition state structures and corresponding free energy barriers for the [Forumla omitted. See PDF.] mechanism of the TMA head group in the (A) absence and (B) presence of DES.
Figure 4. Illustration of the transition state structures and corresponding free energy barriers for the ylide formation mechanism of the TMA head group in the (A) absence and (B) presence of DES.
Figure 5. Bond distances in the TMA head group in the absence and presence of DES at HLs of 1 (A,B), 3 (C,D), and 5 (E,F). Left panels (A,C,E) show the bond distances between the H and C atoms, while right panels (B,D,F) depict the bond distances between the C and N atoms.
Figure 6. Bond distances in the TMA head group in the absence and presence of DES at HL 3 and varying temperatures: 298 K (A,B), 320 K (C,D), and 350 K (E,F). Left panels (A,C,E) show the bond distances between the H and C atoms, while right panels (B,D,F) depict the bond distances between the C and N atoms.
| YF (Step 1) | YF (Step 2) | ||||
---|---|---|---|---|---|---|
Without DES | With DES | Without DES | With DES | Without DES | With DES | |
| −105.47 | −68.98 | 16.95 | 27.66 | −135.21 | −96.64 |
| 48.18 | 54.62 | 18.02 | 27.64 | 31.02 | 39.97 |
| −148.70 | −81.29 | 26.81 | 36.73 | −175.52 | −118.02 |
| 64.00 | 100.43 | 36.63 | 56.85 | 37.19 | 63.69 |
Supplementary Materials
The following supporting information can be downloaded at:
References
1. Hossen, M.M.; Hasan, M.S.; Sardar, M.R.I.; bin Haider, J.; Mottakin,; Tammeveski, K.; Atanassov, P. State-of-the-art and developmental trends in platinum group metal-free cathode catalyst for anion exchange membrane fuel cell (AEMFC). Appl. Catal. B Environ.; 2022; 325, 121733. [DOI: https://dx.doi.org/10.1016/j.apcatb.2022.121733]
2. Dicks, A.L. Molten carbonate fuel cells. Curr. Opin. Solid State Mater. Sci.; 2004; 8, pp. 379-383. [DOI: https://dx.doi.org/10.1016/j.cossms.2004.12.005]
3. Ormerod, R.M. Solid oxide fuel cells. Chem. Soc. Rev.; 2003; 32, pp. 17-28. [DOI: https://dx.doi.org/10.1039/b105764m] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/12596542]
4. Xia, Z.; Zhang, X.; Sun, H.; Wang, S.; Sun, G. Recent advances in multi-scale design and construction of materials for direct methanol fuel cells. Nano Energy; 2019; 65, 104048. [DOI: https://dx.doi.org/10.1016/j.nanoen.2019.104048]
5. Wang, Y.; Diaz, D.F.R.; Chen, K.S.; Wang, Z.; Adroher, X.C. Materials, technological status, and fundamentals of PEM fuel cells—A review. Mater. Today; 2020; 32, pp. 178-203. [DOI: https://dx.doi.org/10.1016/j.mattod.2019.06.005]
6. Boldrin, P.; Brandon, N.P. Progress and outlook for solid oxide fuel cells for transportation applications. Nat. Catal.; 2019; 2, pp. 571-577. [DOI: https://dx.doi.org/10.1038/s41929-019-0310-y]
7. Sammes, N.; Bove, R.; Stahl, K. Phosphoric acid fuel cells: Fundamentals and applications. Curr. Opin. Solid State Mater. Sci.; 2004; 8, pp. 372-378. [DOI: https://dx.doi.org/10.1016/j.cossms.2005.01.001]
8. Zhang, J.; Wang, B.; Jin, J.; Yang, S.; Li, G. A review of the microporous layer in proton exchange membrane fuel cells: Materials and structural designs based on water transport mechanism. Renew. Sustain. Energy Rev.; 2022; 156, 111998. [DOI: https://dx.doi.org/10.1016/j.rser.2021.111998]
9. Maurya, S.; Shin, S.H.; Kim, Y.; Moon, S.H. A review on recent developments of anion exchange membranes for fuel cells and redox flow batteries. RSC Adv.; 2015; 5, pp. 37206-37230. [DOI: https://dx.doi.org/10.1039/C5RA04741B]
10. Merle, G.; Wessling, M.; Nijmeijer, K. Anion exchange membranes for alkaline fuel cells: A review. J. Membr. Sci.; 2011; 377, pp. 1-35. [DOI: https://dx.doi.org/10.1016/j.memsci.2011.04.043]
11. Dekel, D.R. Review of cell performance in anion exchange membrane fuel cells. J. Power Sources; 2018; 375, pp. 158-169. [DOI: https://dx.doi.org/10.1016/j.jpowsour.2017.07.117]
12. Varcoe, J.R.; Atanassov, P.; Dekel, D.R.; Herring, A.M.; Hickner, M.A.; Kohl, P.A.; Kucernak, A.R.; Mustain, W.E.; Nijmeijer, K.; Scott, K. et al. Anion-exchange membranes in electrochemical energy systems. Energy Environ. Sci.; 2014; 7, pp. 3135-3191. [DOI: https://dx.doi.org/10.1039/C4EE01303D]
13. Karibayev, M.; Myrzakhmetov, B.; Kalybekkyzy, S.; Wang, Y.; Mentbayeva, A. Binding and degradation reaction of hydroxide ions with several quaternary ammonium head groups of anion exchange membranes investigated by the DFT method. Molecules; 2022; 27, 2686. [DOI: https://dx.doi.org/10.3390/molecules27092686] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/35566033]
14. Karibayev, M.; Myrzakhmetov, B.; Bekeshov, D.; Wang, Y.; Mentbayeva, A. Atomistic Modeling of Quaternized Chitosan Head Groups: Insights into Chemical Stability and Ion Transport for Anion Exchange Membrane Applications. Molecules; 2024; 29, 3175. [DOI: https://dx.doi.org/10.3390/molecules29133175] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/38999128]
15. Chempath, S.; Einsla, B.R.; Pratt, L.R.; Macomber, C.S.; Boncella, J.M.; Rau, J.A.; Pivovar, B.S. Mechanism of tetraalkylammonium headgroup degradation in alkaline fuel cell membranes. J. Phys. Chem. C; 2008; 112, pp. 3179-3182. [DOI: https://dx.doi.org/10.1021/jp7115577]
16. Chempath, S.; Boncella, J.M.; Pratt, L.R.; Henson, N.; Pivovar, B.S. Density functional theory study of degradation of tetraalkylammonium hydroxides. J. Phys. Chem. C; 2010; 114, pp. 11977-11983. [DOI: https://dx.doi.org/10.1021/jp9122198]
17. Dekel, D.R.; Amar, M.; Willdorf, S.; Kosa, M.; Dhara, S.; Diesendruck, C.E. Effect of water on the stability of quaternary ammonium groups for anion exchange membrane fuel cell applications. Chem. Mater.; 2017; 29, pp. 4425-4431. [DOI: https://dx.doi.org/10.1021/acs.chemmater.7b00958]
18. Ayaz, S.; Yao, Z.Y.; Yang, Y.; Yu, H.Y. Chemically stable anion exchange membrane with 2, 6-protected pendant pyridinium cation for alkaline fuel cell. J. Membr. Sci.; 2023; 680, 121736. [DOI: https://dx.doi.org/10.1016/j.memsci.2023.121736]
19. Zhao, B.; Wang, T.; Kraglund, M.R.; Yang, J.; Dong, J.; Tang, A.; Aili, D.; Yang, J. Anion exchange membranes derived from poly (ionic liquid) of poly (bis-piperidinium) and polybenzimidazole blends. J. Mol. Liq.; 2024; 402, 124775. [DOI: https://dx.doi.org/10.1016/j.molliq.2024.124775]
20. Zeng, M.; He, X.; Wen, J.; Zhang, G.; Zhang, H.; Feng, H.; Qian, Y.; Li, M. N-Methylquinuclidinium-Based Anion Exchange Membrane with Ultrahigh Alkaline Stability. Adv. Mater.; 2023; 35, 2306675. [DOI: https://dx.doi.org/10.1002/adma.202306675]
21. Wei, C.; Yu, W.; Wu, L.; Ge, X.; Xu, T. Physically and chemically stable anion exchange membranes with hydrogen-bond induced ion conducting channels. Polymers; 2022; 14, 4920. [DOI: https://dx.doi.org/10.3390/polym14224920] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/36433047]
22. Dembélé, K.; Chikh, L.; Alfonsi, S.; Fichet, O. Effect of polyelectrolyte architecture on chemical stability in alkaline medium of anion exchange membranes. Polym. Degrad. Stab.; 2023; 215, 110462. [DOI: https://dx.doi.org/10.1016/j.polymdegradstab.2023.110462]
23. Zhang, Q.; Vigier, K.D.O.; Royer, S.; Jérôme, F. Deep eutectic solvents: Syntheses, properties and applications. Chem. Soc. Rev.; 2012; 41, pp. 7108-7146. [DOI: https://dx.doi.org/10.1039/c2cs35178a] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/22806597]
24. Smith, E.L.; Abbott, A.P.; Ryder, K.S. Deep eutectic solvents (DESs) and their applications. Chem. Rev.; 2014; 114, pp. 11060-11082. [DOI: https://dx.doi.org/10.1021/cr300162p]
25. Garcia, G.; Aparicio, S.; Ullah, R.; Atilhan, M. Deep eutectic solvents: Physicochemical properties and gas separation applications. Energy Fuels; 2015; 29, pp. 2616-2644. [DOI: https://dx.doi.org/10.1021/ef5028873]
26. Liu, Y.; Friesen, J.B.; McAlpine, J.B.; Lankin, D.C.; Chen, S.N.; Pauli, G.F. Natural deep eutectic solvents: Properties, applications, and perspectives. J. Nat. Prod.; 2018; 81, pp. 679-690. [DOI: https://dx.doi.org/10.1021/acs.jnatprod.7b00945]
27. Xu, P.; Zheng, G.W.; Zong, M.H.; Li, N.; Lou, W.Y. Recent progress on deep eutectic solvents in biocatalysis. Bioresour. Bioprocess.; 2017; 4, pp. 1-18. [DOI: https://dx.doi.org/10.1186/s40643-017-0165-5]
28. Yang, Z. Natural deep eutectic solvents and their applications in biotechnology. Application of Ionic Liquids in Biotechnology; Springer: Cham, Switzerland, 2019; pp. 31-59. [DOI: https://dx.doi.org/10.1007/10_2018_67]
29. Roda, A.; Matias, A.A.; Paiva, A.; Duarte, A.R.C. Polymer science and engineering using deep eutectic solvents. Polymers; 2019; 11, 912. [DOI: https://dx.doi.org/10.3390/polym11050912]
30. Li, Z.; Zhang, S.; Jiang, Z.; Cai, D.; Gu, C.; Tu, J. Deep eutectic solvent-immobilized PVDF-HFP eutectogel as solid electrolyte for safe lithium metal battery. Mater. Chem. Phys.; 2021; 267, 124701. [DOI: https://dx.doi.org/10.1016/j.matchemphys.2021.124701]
31. Pei, X.; Li, Y.; Ou, T.; Liang, X.; Yang, Y.; Jia, E.; Tan, Y.; Guo, S. Li-N interaction induced deep eutectic gel polymer electrolyte for high performance lithium-metal batteries. Angew. Chem.; 2022; 134, e202205075. [DOI: https://dx.doi.org/10.1002/ange.202205075]
32. Zhang, C.; Zheng, H.; Lin, L.; Wen, J.; Zhang, S.; Hu, X.; Zhou, D.; Sa, B.; Wang, L.; Lin, J. et al. Deep Eutectic Solvent-Based Solid Polymer Electrolytes for High-Voltage and High-Safety Lithium Metal Batteries. Adv. Energy Mater.; 2024; 14, 2401324. [DOI: https://dx.doi.org/10.1002/aenm.202401324]
33. Xu, J.; Hao, J.; Zhai, Y.; Wang, Y. Deep eutectic solvents based on N,N,N-trimethyl propylsulphonate ammonium hydrosulfate-urea as potential electrolytes for proton exchange membrane fuel cell. J. Power Sources; 2023; 580, 233385. [DOI: https://dx.doi.org/10.1016/j.jpowsour.2023.233385]
34. Elhamarnah, Y.; Qiblawey, H.; Nasser, M. A review on deep eutectic solvents as the emerging class of green solvents for membrane fabrication and separations. J. Mol. Liq.; 2024; 398, 124250. [DOI: https://dx.doi.org/10.1016/j.molliq.2024.124250]
35. Barlybayeva, A.; Myrzakhmetov, B.; Karibayev, M.; Mentbayeva, A. Deep Eutectic Solvent Supported Polymer-Based High Performance Anion Exchange Membrane for Alkaline Fuel Cells. Proceedings of the Electrochemical Society Meeting Abstracts 245; The Electrochemical Society, Inc.: Pennington, NJ, USA, 2024; Volume 36, 2096. [DOI: https://dx.doi.org/10.1149/MA2024-01362096mtgabs]
36. Stephens, P.J.; Devlin, F.J.; Chabalowski, C.F.; Frisch, M.J. Ab initio calculation of vibrational absorption and circular dichroism spectra using density functional force fields. J. Phys. Chem.; 1994; 98, pp. 11623-11627. [DOI: https://dx.doi.org/10.1021/j100096a001]
37. Mennucci, B. Polarizable continuum model. Wiley Interdiscip. Rev. Comput. Mol. Sci.; 2012; 2, pp. 386-404. [DOI: https://dx.doi.org/10.1002/wcms.1086]
38. Gill, P.M.; Johnson, B.G.; Pople, J.A.; Frisch, M.J. The performance of the Becke—Lee—Yang—Parr (B—LYP) density functional theory with various basis sets. Chem. Phys. Lett.; 1992; 197, pp. 499-505. [DOI: https://dx.doi.org/10.1016/0009-2614(92)85807-M]
39. De Castro, E.; Jorge, F. Accurate universal Gaussian basis set for all atoms of the periodic table. Chem. Phys.; 1998; 108, pp. 5225-5229. [DOI: https://dx.doi.org/10.1063/1.475959]
40. Pusara, S.; Srebnik, S.; Dekel, D.R. Molecular simulation of quaternary ammonium solutions at low hydration levels. J. Phys. Chem. C; 2018; 122, pp. 11204-11213. [DOI: https://dx.doi.org/10.1021/acs.jpcc.8b00752]
41. Frisch, M.J.; Trucks, G.W.; Schlegel, H.B.; Scuseria, G.E.; Robb, M.A.; Cheeseman, J.R.; Scalmani, G.; Barone, V.; Petersson, G.A.; Nakatsuji, H. et al. Gaussian 16 Revision C.01; Gaussian Inc.: Wallingford, CT, USA, 2016.
42. Dennington, R.; Keith, T.A.; Millam, J.M. GaussView Version 6; Semichem Inc.: Shawnee Mission, KS, USA, 2019.
43. Alizadeh, V.; Malberg, F.; Pádua, A.A.; Kirchner, B. Are there magic compositions in deep eutectic solvents? Effects of composition and water content in choline chloride/ethylene glycol from ab initio molecular dynamics. J. Phys. Chem. B; 2020; 124, pp. 7433-7443. [DOI: https://dx.doi.org/10.1021/acs.jpcb.0c04844]
44. Drużbicki, K.; Krzystyniak, M.; Hollas, D.; Kapil, V.; Slavíček, P.; Romanelli, G.; Fernandez-Alonso, F. Hydrogen dynamics in solid formic acid: Insights from simulations with quantum colored-noise thermostats. Proceedings of the Journal of Physics: Conference Series; IOP Publishing: Bristol, UK, 2018; Volume 1055, 012003. [DOI: https://dx.doi.org/10.1088/1742-6596/1055/1/012003]
45. Ewald, P.P. Die Berechnung optischer und elektrostatischer Gitterpotentiale. Ann. Der Phys.; 1921; 369, pp. 253-287. [DOI: https://dx.doi.org/10.1002/andp.19213690304]
46. Hutter, J.; Iannuzzi, M.; Schiffmann, F.; VandeVondele, J. cp2k: Atomistic simulations of condensed matter systems. Wiley Interdiscip. Rev. Comput. Mol. Sci.; 2014; 4, pp. 15-25. [DOI: https://dx.doi.org/10.1002/wcms.1159]
47. Humphrey, W.; Dalke, A.; Schulten, K. VMD—Visual Molecular Dynamics. J. Mol. Graph.; 1996; 14, pp. 33-38. [DOI: https://dx.doi.org/10.1016/0263-7855(96)00018-5] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/8744570]
48. Zaitsau, D.H.; Ludwig, R.; Verevkin, S.P. Determination of the dispersion forces in the gas phase structures of ionic liquids using exclusively thermodynamic methods. Phys. Chem. Chem. Phys.; 2021; 23, pp. 7398-7406. [DOI: https://dx.doi.org/10.1039/D0CP05439A] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33876099]
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
The chemical stability of tetramethylammonium (TMA) head groups, both with and without the presence of a choline chloride and ethylene glycol-based deep eutectic solvent (DES), was studied using Density Functional Theory (DFT) calculations and ab initio Molecular Dynamics (MD) simulations. DFT calculations of transition state energetics (
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details




1 Department of Chemical & Materials Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana 010000, Kazakhstan
2 Center for Energy and Advanced Materials Science, National Laboratory Astana, Nazarbayev University, Astana 010000, Kazakhstan
3 Department of Chemical & Materials Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana 010000, Kazakhstan; Center for Energy and Advanced Materials Science, National Laboratory Astana, Nazarbayev University, Astana 010000, Kazakhstan