Significance
The gap preventing a direct comparison between experiment and atomic simulation still exists due to the unrealistic consideration of the operando experimental condition in commonly used quantum mechanics (QM). In this work, we advanced the QM-based simulation of the electrode–electrolyte interface with explicit consideration of solvent and applied voltage to produce reactive trajectories as input for a two-phase thermodynamics model in generating vibrational density of states that can be directly compared with the reported experimental spectroscopy. After resolving the signals, we successfully distinguished the reactive intermediates in a carbon dioxide reduction reaction, which provides an atomic-scale understanding of this important reaction.
Keywords: quantum mechanics, molecular dynamics, vibration mode, CO2 reduction reaction, reaction mechanism
Abstract
Electrocatalysis provides a powerful means to selectively transform molecules, but a serious impediment in making rapid progress is the lack of a molecular-based understanding of the reactive mechanisms or intermediates at the electrode–electrolyte interface (EEI). Recent experimental techniques have been developed for operando identification of reaction intermediates using surface infrared (IR) and Raman spectroscopy. However, large noises in the experimental spectrum pose great challenges in resolving the atomistic structures of reactive intermediates. To provide an interpretation of these experimental studies and target for additional studies, we report the results from quantum mechanics molecular dynamics (QM-MD) with explicit consideration of solvent, electrode–electrolyte interface, and applied potential at 298 K, which conceptually resemble the operando experimental condition, leading to a prototype of operando QM-MD (-QM-MD). With -QM-MD, we characterize 22 possible reactive intermediates in carbon dioxide reduction reactions (RRs). Furthermore, we report the vibrational density of states (-DoSs) of these intermediates from two-phase thermodynamic (2PT) analysis. Accordingly, we identify important intermediates such as chemisorbed (), *HOC-COH, *C-CH, and *C-COH in our -QM-MD likely to explain the experimental spectrum. Indeed, we assign the experimental peak at 1,191 cm−1 to the mode of C-O stretch in *HOC-COH predicted at 1,189 cm−1 and the experimental peak at 1,584 cm−1 to the mode of C-C stretch in *C-COD predicted at 1,581 cm−1. Interestingly, we find that surface ketene (*C=C=O), arising from *HOC-COH dehydration, also shows signals at around 1,584 cm−1, which indicates a nonelectrochemical pathway of hydrocarbon formation at low overpotential and high pH conditions.
Electrocatalytic reactions play a key role in many modern and emerging critical technologies such as energy conversion and storage, sensors, organic synthesis, and biomolecular electronics. However, with very few exceptions, a fundamental understanding of electrocatalytic reactions remains poor and nonpredictive. This is because electrocatalytic reactions are extremely complex. The factors determining reaction pathways depend on the relative rates of the several competing intermediate steps. Moreover, these reactions take place in a strong electric field of the electric double layer (EDL). Along with the structure of the catalyst surface, the structure of the EDL controls the thermodynamics and kinetics of the elementary steps through the polarization and local microenvironment of the adsorbed species, interfacial charge transfer, and mass transfer to/from the catalytic site. These critical phenomena must be understood at the atomistic level to use them in developing new strategies for improving the efficiency of electrocatalytic processes. This makes atomistic molecular-level understanding of electrocatalytic reactions is a scientific grand challenge.
Current understanding of electrode–electrolyte interfaces (EEIs) generally rests on continuum concepts of the EDL developed by Gouy, Chapman, Stern, and others. These theoretical models address the structural and electrical organization of the EDL, but have not been connected to the detailed atomistic description of reactions and electron/proton transfer at the molecular level of quantum mechanics (QM), nor have they been adequately validated experimentally due to the limitations of available techniques.
To provide an atomistic-level understanding of the nature of the EEI during electrocatalytic reactions (or operando), we have been using metadynamics reactive dynamics with QM-based forces to determine the free-energy barriers and onset potentials at 298 K, which we have applied to the carbon dioxide () reduction reaction (RR). We use these results to elucidate the details of atom/charge flow and chemical transformations, electron/proton transfer, and ion transfer, and how they depend on applied potential (). We expect that this will dramatically accelerate the development of electrocatalysis-based technologies.
RR has been studied extensively because of its central role in closing the carbon loop (1, 2). Electrocatalytically reducing efficiently provides a means for both reducing the amount of in the atmosphere from human activities and converting renewable energy (such as solar, wind, hydropower, etc.) into chemical forms, which facilitates the energy storage (3–7). RR to hydrocarbons is one of these promising solutions, which has been significantly advanced in the last 30 y (8–11) since the pioneering work of Hori et al. in 1985 (12). Copper (Cu) is the only single-metal electrocatalyst that produces significant amounts of hydrocarbons (3) and thus has been investigated extensively as a prototype for understanding the reaction mechanism both in experiment and in theory (8, 9, 13–22). Carbon monoxide (CO) is the first stable product from CO2RR which can be further reduced to hydrocarbons (such as methane, ethylene, ethanol, etc.) at sufficiently negative potentials. Subtle changes (such as Cu facet, pH, the presence of oxygen, etc.) are observed to have a significant impact on the activity and selectivity for RR or CORR. Very recently, we found that water also participates in CORR via nonelectrochemical reactions, which further complicates the reaction network (23). To understand and explain these intriguing experimental observations, we need to predict and validate the fundamental reaction mechanism at the atomic scale.
Atomic-scale computational simulations have been applied extensively to investigate various aspects of RR and CORR on Cu (15, 16, 22), but many simulations did not include a realistic description of the solvent and applied potentials. Recently, we reported the reaction mechanism and kinetics with full explicit solvent and grand canonical QM simulations of the EEI to mimic operando experimental conditions (24). Using this unified framework, we systematically investigated the reaction mechanism of RR and CORR on Cu (100) to 12 kinds of hydrocarbons (25–27). To confirm the presence of these predicted reaction intermediates in operando experiments, we report here their fundamental vibrational density of states (-DoSs) using operando quantum mechanics molecular dynamics (-QM-MD) to closely simulate the operando experimental conditions, including the isotope shifts for 12C to 13C, 16O to 18O, and H to D, which sets the stage for experimental validation for the details of these -QM-MD simulations. We are most interested in the long-lifetime reactive intermediates that may be observed experimentally, which provides a means of using the experiment to extract critical information about the reaction mechanism. With the key intermediates identified, experiments can then obtain detailed kinetic parameters providing a means for optimizing the kinetic processes.
The Performance of Perdew, Burke, and Ernzerhof Functional
To benchmark the performance of QM at the level of Perdew, Burke, and Ernzerhof (PBE) density functional theory (DFT), we calculated the vibrational frequencies of 14 isolated molecules (, , , , OH-OH, OH, CHO, COOH, OH, CHO-OH, CHO-CHO, O, HCOOH, and =CHOH), the experimental data of which are available to compare with. As shown in SI Appendix, Fig. S1, -QM predictions well reproduce the experimental frequencies with linear correlation of 1.0015 (shown in SI Appendix, Fig. S1). Thus, scaling factors are not necessary.
-DoS from -QM-MD
Vacuum QM (-QM) has been extensively used in predicting the vibrational frequencies of intermediates at interface. However, we suspect that -QM is not suitable for the EEI because the dynamics of the O interacting with the reaction intermediates strongly affect the vibrational modes. In this work, we carried out explicit solvent calculation to simulate a water/Cu (100) interface and finely tuned the work function to match the experimentally applied voltage, as we did in our previous work (24). We further extended the -QM-MD to 20 ps to produce a sufficiently long trajectory as input of the two-phase thermodynamic (2PT) model (28) to generate the -DoSs, which can be directly compared with operando experimental measurements. The details of the 2PT procedure for extracting the vibrational frequencies from -QM-MD at 298 K are in SI Appendix. Using this framework, we systematically predicted the -DoS of 22 intermediates from -QM-MD (SI Appendix, Fig. S5). To compare, we also calculated the vibrational frequencies of these 22 intermediates from -QM, in which the electrode was included and optimized, but without solvent or applied potential.
RR to CO
In our previous work, we predicted that the RR to CO involves physisorbed (l-CO2), chemisorbed (* or b-CO2), *COOH, and CO at pH 7 as follows (25):
| [1] |
The predicted -DoSs from the 2PT analysis are shown in Fig. 1. The detailed results are as follows:
-
•
For l-CO2, the peak at 1,330 cm−1 is the O=C=O symmetrical stretch, which is IR inactive but Raman active.
-
•
For b-CO2, the peaks at 1,365 cm−1 and 1,397 cm−1 are the two C=O stretch modes from one C=O parallel and the other about 60° with the surface. The -QM of l-CO2 and b-CO2 are the same because b-CO2 is unstable in vacuum and automatically converts to l-CO2 after optimization.
-
•
For *COOH, the peak at 1,420 cm−1 is the C=O stretch, while 1,287 cm−1 is C-OH in-plane bend. Note that the -QM calculation gives symmetric and antisymmetric CO stretch at 1,248 cm−1 and 1,481 cm−1 but the hydrogen bonds (HBs) with O lead to about 50 cm−1 redshifts of these two peaks.
-
•
For *CO, 1,790 cm−1 is C=O stretch of CO adsorbed on bridge sites. Instead, CO adsorbed on top sites leads to IR modes from 2,050 cm−1 to 2,100 cm−1 (29). The CO adsorbed on bridge sites has been observed but is considered inert to chemical reactions, thus having a longer lifetime (30).
-
•
We assigned the surface-bounded as carbonic acid based on the geometric features for -QM optimization. As shown in SI Appendix, Table S1, one C-O bond is significantly shorter (1.214 Å) than the other two bonds (1.366 Å), as expected for one C=O double bond and two C-O single bonds, which is also consistent with the frequency analysis shown in Fig. 1E2 and SI Appendix, Fig. S5: 1,720 cm−1 corresponds to C=O double-bond stretch and 986 cm−1 corresponds to C-O single-bond stretch. When this is solvated in water with one Na cation in -QM-MD, the Bader charge analysis predicts a net charge of −1.08 , close to −1. However, after analyzing the bond distance of -QM-MD, we found that the bond distances of C-O are 1.289 Å, 1.311 Å, and 1.312 Å, significantly different from carbonic acid, but close to anions (shown in SI Appendix, Table S1). Because the Bader charge analysis is usually less reliable than the geometry analysis, at this negative applied potential we consider as anions, although the carbonic form O= may exist at positive potentials. This requires further study.
Fig. 1.
Snapshots (A1–E1) of the structures and -DoSs (A2–E2) of physisorbed (l-CO2), chemisorbed (b-CO2), *COOH, *CO, and * from -QM-MD simulations and 2PT analysis. In A1–E1, the color codes are Cu in orange, O in red, C in silver, and H in white. The hydrogen bonds are shown as dashed red lines. In A2–E2, -DoS from o-QM-MD is shown as a solid black line, the experimental frequencies are shown as a red dashed line, and the vibrational frequencies from -QM optimization are shown as solid blue lines for comparison. (l-CO2 and b-CO2 are the same from -QM, because b-CO2 is unstable in vacuum and automatically converts to l-CO2 after optimization.)
The spectroscopy of RR to CO has been extensively reported experimentally (20, 29–35). However, the assignments of the observed peaks remain controversial. We find that b-CO2, *COOH, and all exhibit comparable spectroscopy signals at 1,400 cm−1, making it difficult to distinguish them. According to the reaction mechanism (Eq. 1), at pH 7 the population of b-CO2 is likely higher than that of *COOH. Thus, we consider that the peaks observed at 1,400 cm−1 come from mostly b-CO2 although is long lived and has signals at 1,400 cm−1. Because also has unique peaks at 1,034 cm−1 and 1,516 cm−1 (SI Appendix, Fig. S5), these peaks together could help to identify (35).
CORR to and OH
The CORR has been studied more thoroughly because both the overall potential-determining step and the rate-determining step lie within the CORR. Cu(100) is capable of reducing CO to ethylene () at high pH. In our previous work, we predicted that the QM-based reaction mechanism at pH 7 and pH 12 involves at least eight intermediates as follows: (26)
| [2] |
The simulated -DoSs are shown in Fig. 2.
-
•
For *OC-CO, 1,171 cm−1 is from C- stretch. Here, -QM gives symmetric and antisymmetric stretch at 1,039 cm−1 and 1,229 cm−1 but they are decoupled to 1,171 cm−1 in -QM-MD. Because the barrier is only 0.24 eV to the next species, this mode is unlikely to be observed.
-
•
For *OC-COH, 1,231 cm−1 is H-O-C in-plane bend, and the peaks around 1,360 cm−1 are from C=O stretch. Because the barrier is only 0.08 eV to the next species, this mode is unlikely to be observed.
-
•
For *HOC-COH, 1,439 cm−1 is from C=C stretch, 1,324 cm−1 is from H-O-C=C-O-H symmetric in-plane bend, and 1,187 cm−1 is from C-OH stretch. Since the barrier is 0.63 eV to the next step, these modes are likely to be observed.
-
•
For *C-COH, 1,609 cm−1 is from C=C stretch, which has the character of a C-C triple bond. because the barrier is 0.44 eV to the next step, these modes might be observed.
-
•
For *CH-COH, 1,422 cm−1 is from C=C stretch, and 1,251 cm−1 is from C-OH stretch. Because the barrier is 0.61 eV to the next step, these modes are likely to be observed.
-
•
For *C-CH, 1,559 cm−1 is from C=C stretch. Because the barrier is 0.60 eV to the next step, these modes are likely to be observed.
-
•
For *C-, both 1,451 cm−1 and 1,320 cm−1 are from C=C stretch. Because the barrier is 0.49 eV to the next step, these modes might not be observed.
Fig. 2.
Snapshots (A1–G1) and -DoSs (A2–G2) for *OC-CO, *OC-COH, *HOC-COH, *C-COH, *CH-COH, *C-CH, *C-, and *C=C=O. Notations are the same as in Fig. 1.
At low potential in LiOH solutions, Pérez-Gallent et al. (20) experimentally distinguished two unique peaks, 1,191 cm−1 and 1,584 cm−1, and assigned 1,191 cm−1 as C-OH stretch of *OC-COH. We find three early intermediates (*OC-CO, *OC-COH, and *HOC-COH) with modes in this region but only *HOC-COH is predicted to be a long-lived species. Thus, we assign its mode at 1,189 cm−1 of *HOC-COH to the 1,191 cm−1 from the experiment.
The other peak at 1,584 cm−1 is more intriguing. Pérez-Gallent et al. (20) assigned this peak as the C=O stretch of *OC-COH based on a -QM calculation that predicted a peak at 1,576 cm−1. Indeed, in our -QM calculation we find this mode at 1,548 cm−1 (Fig. 2B2) too. However, with solvation and applied potential, this 1,548 cm−1 peak significantly redshifts to 1,360 cm−1, which is unlikely to explain the experiment. Instead, we find that *C-COH with a peak at 1,609 cm−1 and *C-CH with a peak at 1,559 cm−1 are more likely to explain the experimental peak at 1,584 cm−1. Both of these peaks correspond to a C-C triple bond interacting with the surface. Because the barrier out of *C-CH is 0.60 eV while that out of *C-COH is 0.44 eV, it may be that the observed line is dominated by the *C-CH, but we expect that the *C-COH with a larger dipole might have a stronger intensity.
Isotope Simulations
The mode at 1,584 cm−1 can only be observed using O solvent; otherwise, it is fully covered by a water O-H bending band (from 1,650 cm−1 to 1,450 cm−1). To directly compare with experiment, we carried out isotope simulations replacing all H with D and calculated the -DoSs of two possible candidates (*C-COD and *C-CD) as shown in Fig. 3. Both *C-COD and *C-CD exhibit about 25 cm−1 redshift due to the isotope effect, which leaves *C-COD as a better candidate to explain the experiment.
Fig. 3.
-DoS of 2H(D)-labeled (A) *C-COD, (B) *C-CD, and (C) *C=C=O in O solvent. The frequencies of *C=C=O from -QM are 2,078 cm−1 and 1,211 cm−1 out of the range shown here (1,400–).
To provide the basis for definitive experimental validation we also report the isotope effects of 13C and 18O for these modes in SI Appendix, Fig. S6, which could serve a guidance for future isotope experiments.
Surface Ketene
Interestingly, we find that *C=C=O also exhibits signals in the 1,584-cm−1 region as shown in Fig. 3C. This is surprising because -QM predicts only two peaks at 1,211 cm−1 and 2,078 cm−1, which are from O=C=C asymmetric and symmetric stretch, but the peaks at the 1,584-cm−1 range are absent. We attribute the emergence of 1,584 cm−1 of *C=C=O at the CORR condition for two reasons: First, *C=C=O is likely negative charged; and second, *C=C=O always interacts with water via HB, which weakens the C=O double band, leaving C=C sharing the triple-bond character similarly to *C-COH, which is another case that shows the critical role of -QM-MD in predicting the operando experiment.
The presence of surface ketene (*C=C=O) was first proposed by Calle-Vallejo and Koper (15). In our previous work, we found that *C=C=O is thermodynamically stable, but kinetically inhibited due to the high free-energy barrier (0.69 eV). Therefore, we previously excluded * C=C=O as a major intermediate. In this work, we found an additional pathway of *C=C=O formation from *HOC-COH via dehydration as follows:
| [3] |
The snapshots of the initial state, the transition state, and the final state are shown in Fig. 4. -QM-MD free-energy calculations predicted the barrier to be 0.59 eV, which is similar to the other barriers involved in CORR. Thus, it is very possible that *C=C=O could present as a long-lived intermediate especially at low overpotential and high pH, in which condition nonelectrochemical reactions are promoted because the electrochemical reactions are suppressed.
Fig. 4.
(A–C) The snapshots of the initial state (IS, *HOC-COH) (A), the transition state (TS, *O–C-CO–O) (B), and the final state (FS, *C=C=O) (C) of reaction 3.
Stark Effect
Taking *HOC-COH as an example, we carried out simulations at +0.21 V, −0.33 V, and −0.76 V to investigate the electric field effect by removing one electron (+1 net charge), staying neutral, and adding one electron (−1 net charge). The predicted -DoS is shown in Fig. 5. As discussed above, we have distinguished the 1,191 cm−1 wavenumber as a feature of *HCO-COH. We found this 1,191 cm−1 wavenumber undergoes a blue shift as applied potentials become more negative with a rate of about 25 cm−1/ V, which reasonably agrees with experimental observations (20).
Fig. 5.
The simulated potential-dependent -DoSs of *HOC-COH at +0.21 V, −0.33 V, and −0.76 V. Inset shows the blue shift of the 1,191-cm−1 peak (a feature of C-O stretch of C-OH) as a function of applied potential.
Summary
We carried out 20-ps -QM-MD simulations to determine the vibrational frequencies at 298 K to identify possible reactive intermediates in RR to CO and CORR to while including an explicit solvent and the effect of the applied potential. We find significant differences in the vibrational frequency predictions between traditional -QM and -QM-MD for cases such as , *OC-COH, and *C=C=O. Thus, we recommend -QM-MD as a more reliable method to simulate and interpret the experimental spectroscopy at operando conditions.
From -QM-MD 2PT analysis, we assign the following: the experimental peak at 1,191 cm−1 to C-O stretch of * HOC-COH, which is predicted at 1,189 cm−1 from -QM-MD, and the experimental peak at 1,584 cm−1 to C-C stretch of *C-COD, which is predicted at 1,581 cm−1 from -QM-MD.
Furthermore, we identified *C=C=O, coming from an additional pathway of *HOC-COH dehydration, as another possible long-lived intermediate via a nonelectrochemical reaction, which likely explains the hydrocarbon formation [such as acetate () and ethanol] at low overpotentials using oxygen-derived Cu nanoparticles (NPs) or Cu NPs with rich grain boundaries (9).
This combination of -QM-MD and experiment uses the best aspects of each: -QM-MD can predict the atomic structures but is limited in timescale, size scale, and accuracy. Instead, experiments can characterize the real system and provide signals produced by some intermediate, but have difficulties in resolving the atomic structure of reactive intermediates. Combining them fills the gap to provide the means of fully understanding the EEI and using this to design dramatically improved electrocatalytic processes.
Supplementary Material
Acknowledgments
This work was supported by the Joint Center for Artificial Photosynthesis, a Department of Energy (DOE) Energy Innovation Hub, supported through the Office of Science of the US DOE under Award DE-SC0004993. These studies used the Extreme Science and Engineering Discovery Environment which is supported by National Science Foundation Grant ACI-1053575. This work is supported by Collaborative Innovation Center of Suzhou Nano Science & Technology, the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), the 111 Project.
Footnotes
The authors declare no conflict of interest.
See Commentary on page 7611.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1821709116/-/DCSupplemental.
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