Computational design of spatially confined triatomic catalysts for nitrogen reduction reaction
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Abstract
The electrocatalytic process of nitrogen reduction reactions (NRR) offers a promising approach towards achieving sustainable ammonia production, acting as an environmentally friendly replacement for the conventional Haber-Bosch method. Density functional theory calculations have been utilized to design and investigate a set of catalysts known as triple-atom catalysts (TACs) for electrochemical NRR, which are supported on graphite-C3N3 nanosheets. Herein, we have systematically evaluated these TACs using stringent screening to assess their catalytic performance. Among the candidates, supported Pt3, Re3, and Ru3 trimers emerged as highly active with decent selectivity, involving a limiting potential range of -0.35~-0.11 V. According to analysis of electronic properties, we determined that high NRR activity stems from the d-π* electron-accepting and -donating mechanism. Significantly, the correlation between chemical activity of TACs and electronic structure was established as a pivotal physical parameter, which has led to the conclusion that we can precisely control the catalytic behavior of transition metal trimer clusters by selecting appropriate metal elements and designing moderate cluster-substrates interactions. In summary, these theoretical studies not only enhance our understanding of how catalytic properties are governed by metal-support interactions, regulating stability, activity, and selectivity, but also offer a useful method for screening and designing novel TACs for NRR.
Keywords
INTRODUCTION
Ammonia (NH3) plays a pivotal role as a primary precursor for the production of chemical fertilizers, nitric acid, biofuel energy, plastic, synthetic fiber, etc.[1-4]. Industrially, NH3 is primarily synthesized through the Haber-Bosch process, involving the reaction of N2 and H2 at high temperatures (T > 700 K) and pressure conditions (P > 200 atm)[5-8]. However, this method consumes a substantial amount of global energy and contributes to significant greenhouse gas emissions[9,10]. Therefore, it is an urgent need to develop sustainable and clean methods for yielding NH3 products. Electrochemical nitrogen reduction reactions (NRR) utilizing renewable energy to convert N2 to NH3 have recently emerged as a promising alternative[11-18]. For instance, Geng et al. reported the excellent NRR activity of Ru on N-doped carbon, achieving a 29.6% Faradaic efficiency (FE) and an NH3 production rate of 120.9 μg·mg-1·h-1[19]. Additionally, the achieved NH3 yield rate reached 3.665 mg·h-1·mgRu-1 at a potential of -0.21 V, where the researchers successfully developed a novel approach using N-doped porous carbon (PC) to encapsulate single Ru sites for efficient NRR while maintaining the FE below 9%[20]. A 5,7-membered carbon ring-involved PC was developed for the electrocatalytic NRR of Ru-embedded PCs by Han et al.[21]. These materials, with an impressive NH3 yield rate as high as 67.8 ± 4.9 μg·h-1·mgcat-1 and a high FE of 19.5% ± 0.6%, exhibit remarkably favorable catalytic NRR properties as electrocatalysts, surpassing the majority of documented single-atom NRR catalysts. Moreover, theoretical research and calculation models play a key role in predicting highly active and selective catalytic materials[22], providing important reference values for catalyst preparation. According to density functional theory (DFT) calculations, Azofra et al. reported that V3C2 possesses the best NRR activity with a 0.64 eV activation barrier among d2-d4 M3C2 Mxenes[23]. Some theoretical work has studied the NRR catalyzed by TM@N4-G, in which the central transition metal (TM) atom is coordinated by four pyridinic nitrogen atoms. The results show that the limiting potentials of Ti@N4 (0.69 eV) and V@N4 (0.87 eV)[24] are shown to exhibit lower free energy for NRR than that of the Ru(0001) stepped surface (0.98 eV)[25]. Despite significant progress in this field, many obstacles remain, including high overpotentials (> 0.6 V) and low FEs (9%~29.6%) for NRR. Hence, the development of highly efficient and selective NRR electrocatalysts to facilitate mild condition synthesis of ammonia is crucial.
Over the last few years, the design and synthesis of catalysts have been revolutionized by the advent of atom dispersions[26,27]. Single-atom catalysts (SACs) have attracted attention for their high-specific activity and maximum metal utilization efficiency[28-32]. For example, He et al. found that a graphdiyne monolayer supported with 11 TM atoms (TM@GDY) exhibits exceptional stability as an electrocatalyst for hydrogen evolution reactions (HER) and oxygen evolution reactions (OER), involving an overpotential range of 0.01~0.46 V[33]. Moreover, Liu et al. conducted research on the electrocatalytic generation of NH3 from N2 at room temperature and atmospheric pressure, using nitrogen-doped PC embedded in cobalt, achieving a high ammonia generation rate of 0.86 μmol·cm-2·h-1[34]. Alternatively, other single metal atoms anchored on N-modified carbon-based materials, such as graphitic carbon nitride (g-C3N4) and defective graphene, are promising electrocatalysts for NRR with 0.34 V potential[35]. Despite the potential benefits of SACs, a significant challenge persists in balancing the reaction rate and FE for NH3 synthesis, mainly due to the involvement of multiple reactive species in the NRR. This challenge remains a major obstacle in the practical application of SACs for the controlled and efficient electrocatalytic generation of NH3.
Atomic clusters[36-38], on the other hand, possess unique geometric and electronic properties owing to their strong quantum size effects, rendering them highly promising for catalytic applications. The catalytic activities and product selectivity of supported metal nanoclusters (NCs) were governed with atomic precision by tuning the size and composition of metal NCs. Experimentally, the use of well-dispersed Pt2 dimers on graphene resulted in a unique catalytic system that significantly increased the aqueous hydrogenation rate of ammonia-borane in comparison to isolated individual Pt-ions. Specifically, the specific rate of the reaction was found to be approximately 17 times higher when using the Pt2 dimers[39]. Furthermore, a Mo3 trimer on graphdiyne nanosheets was observed to exhibit the highest activity, selectivity, and stability towards NRR based on the designed screening criteria, involving a calculated initial voltage of -0.32 V[40]. More importantly, the presence of several active sites in a catalyst is essential to broaden the range of adsorbate binding capabilities and to facilitate the catalysis of a broader spectrum of complex reactions to yield diverse products. Tian et al. fabricated diatomic Fe2 NCs anchored on mesoporous carbon nitride, which demonstrated remarkable catalytic activity in the conversion of substilbene to oxide, achieving a high selection of 93% while maintaining a transformation rate of 91%[41].
Motivated by the substantial progress in both experimental and theoretical studies, we have systematically investigated the stability of 3d-5d TM trimers embedded on C3N3 nanosheets (marked as TM3@C3N3) using DFT calculations and evaluated their electrocatalytic performances for NRR. The theoretical results indicate that TM3@C3N3 (TM = Re, Ru, Pt) holds significant promise electrocatalysts for the NRR, demonstrating excellent performance and feasibility. Significantly, the Re3@C3N3 system demonstrates exceptional catalytic activity, surpassing other catalysts, with a limiting potential of -0.11 V using the consecutive mechanism. Furthermore, we established a correlation between the inherent electronic characteristics of TM3@C3N3 and its catalytic performance, identifying significant physical parameters. Additionally, we advocate the concept of designing TACs as a strategic approach to drive the development of advanced electrocatalysts within the framework of green hydrogen economics.
MATERIALS AND METHODS
The Vienna ab initio simulation package (VASP) was utilized to conduct spin-polarized DFT computations, employing the plane wave basis set[49,50]. We employed projector augmented wave (PAW) potentials along with an energy cutoff of 500 eV[51,52]. The Perdew-Burke-Ernzerhof (PBE) functional of generalized gradient approximation (GGA) was employed as the exchange-correlation functional[53]. It has been extensively tested and successfully applied to an array of solid-state and molecular systems[22-26,54]. The van der Waals (vdW) interaction was investigated using Grimme’s semiempirical DFT-D3 scheme with dispersion correction[55,56]. The energy and force convergence thresholds were established at 10-4 eV and 0.02 eV·Å-1, correspondingly. To avoid any interaction between two periodic units, a (2 × 2) supercell of C3N3 monolayer with a 16 Å vacuum space along the z-direction was employed. Moreover, the Brillouin zone was sampled at the k-point using a 2 × 2 × 1 grid[57]. Ab initio molecular dynamics (AIMD) simulations were performed at a temperature of 300 K in an NVT ensemble for a duration of 10 ps in order to estimate the thermodynamic stability of the TM3@C3N3 systems.
The binding energies (Eb) were calculated to judge the thermodynamic stabilities of the designed TM3@C3N3 systems, as follows:
where
where Etot is the total energy of TM3@C3N3 substrates adsorbed by the intermediate, and Ecat and Eadsorbate are the energy of TM3@C3N3 and the adsorbed intermediate, respectively. According to the proposal by Nørskov et al.[58-60], the calculated hydrogen electrode (CHE) model can be employed to determine the Gibbs free energy change (∆G) for each individual step in the electrochemical hydrogenation process, and the ∆G value is calculated by employing the formula as follows:
where ∆E is the total reaction energy gained from the DFT calculations. ∆EZPE and ∆S are the changes in zero-point energy and entropy, respectively. The zero-point energy and entropy were determined by calculating the vibrational frequencies. The temperature (T) was set to 298.15 K in this research. ∆GU denotes the impact of the applied potential (U) and is equal to -neU, where n corresponds to the number of electrons transferred. The correction of pH, ∆GpH, represents the free energy and can be calculated according to the formula: ∆GpH = -KBT × pH × ln10. The pH value is assumed to be 0, and KB refers to the Boltzmann constant. The quantities of transferred electrons and the potential of the applied electrode are represented by e and U, respectively. The potential determination step (PDS), which has the maximum ∆G value, can be used to determine the limiting potential (Ulimiting) of the entire reduction process in an acid solution using the following formula:
RESULTS AND DISCUSSION
Geometry and stability of TM3@C3N3
Since the NRR is a complex process including various reactive species, the use of effective screening descriptors is crucial. As illustrated in Figure 1, we propose a standard strategy for screening candidate catalysts for N2 reduction reaction. (1) Thermodynamic stability: TACs should have thermodynamics (∆Eb < 0 eV, where ∆Eb is the binding energy of TM3 atoms on C3N3). Additionally, their dynamic stability should be confirmed through AIMD simulations at 300 K, ensuring that the structure remains stable without deformation; (2) Surficial activity: N2 should undergo complete activation (
Figure 1. The schematic diagram for screening candidate TACs for NRR. HER: Hydrogen evolution reactions; NRR: nitrogen reduction reactions; TACs: triple-atom catalysts.
Next, we first consider the stability of the metal trimer on C3N3 before delving into the electroreduction process. Through extensive geometric optimization and configuration search, we obtained the structures of TM3@C3N3. As summarized in Figure 2A, these metal trimer clusters show the strong binding strength on the C3N3 monolayer, involving Eb of -9.57~-4.22 eV, which indicates decent thermodynamic stabilities. The Eb is calculated by Equation (1) with the detailed data shown in Table 1. Furthermore, according to the above calculation, it is worth noting that Pd3@C3N3 possesses the weakest binding strength among the 21 selected systems. In light of this, we conducted AIMD at 300 K for 10 ps to evaluate the stability of
Figure 2. (A) Computed the binding energies (ΔEbind) of triple-atoms anchored on C3N3. The grey, blue, and light green are C, N, and metal atoms, respectively; (B) Variations of the temperature (T) and total energies (E); and (C) the distances of Pd-N (dPd-N) and Pd-Pd (dPd-Pd) vs. time for AIMD simulations of Pd3@C3N3; (D) Pd3@C3N3 structures are captured within 10 ps, with the Pd shown in green. AIMD: Ab initio molecular dynamics.
DFT-calculated the average distances of TM-N (dTM-N) and TM-TM (dTM-TM), vertical buckling between TM3 and C3N3 monolayer (dTM-C), combining energy (ΔEbind), d orbital centroid (εd), magnetic moment (Mag), and the number of CT between TM3 and C3N3 monolayers
| System | dTM-N (Å) | dTM-TM (Å) | hTM-C (Å) | ΔEbind (eV) | εd (eV) | Mag (μB) | CT (e) |
| Ti | 2.01 | 2.52 | 1.27 | -9.14 | 0.72 | 3.23 | 1.60 |
| V | 2.03 | 2.38 | 1.53 | -9.01 | 0.46 | 0.00 | 0.58 |
| Cr | 1.94 | 1.93 | 0.89 | -8.63 | -0.56 | 0.00 | 0.24 |
| Mn | 1.97 | 2.33 | 0.97 | -7.44 | -1.49 | 4.96 | 0.60 |
| Fe | 1.92 | 2.27 | 1.47 | -6.98 | -1.93 | 6.16 | 0.33 |
| Co | 1.88 | 2.22 | 1.23 | -7.35 | -1.53 | 3.00 | 0.47 |
| Ni | 1.86 | 2.21 | 1.17 | -7.47 | -1.58 | 0.00 | 0.46 |
| Y | 2.18 | 3.53 | 2.01 | -9.48 | 1.87 | 0.99 | 1.27 |
| Zr | 2.09 | 3.00 | 1.37 | -9.46 | 0.77 | 1.92 | 1.97 |
| Nb | 2.07 | 2.59 | 1.31 | -7.95 | 0.77 | 0.77 | 1.63 |
| Mo | 2.09 | 2.19 | 1.23 | -7.51 | -0.92 | 0.61 | 0.38 |
| Ru | 2.03 | 2.51 | 1.73 | -7.38 | -1.59 | 0.00 | 0.30 |
| Rh | 2.07 | 2.55 | 1.50 | -6.46 | -1.75 | 0.71 | 0.35 |
| Pd | 2.11 | 2.59 | 1.37 | -4.22 | -2.09 | 0.00 | 0.24 |
| Hf | 2.89 | 2.10 | 1.41 | -9.57 | 1.01 | 1.24 | 1.85 |
| Ta | 2.55 | 2.10 | 1.28 | -9.07 | 0.39 | 0.07 | 1.00 |
| W | 2.45 | 2.08 | 1.17 | -6.59 | -0.35 | 0.11 | 0.88 |
| Re | 2.35 | 1.99 | 1.06 | -9.13 | -1.01 | 0.96 | 0.65 |
| Os | 2.43 | 2.06 | 1.20 | -8.18 | -1.41 | 0.00 | 0.47 |
| Ir | 2.42 | 2.02 | 0.68 | -7.70 | -2.02 | 0.00 | 0.40 |
| Pt | 2.51 | 2.21 | 1.77 | -5.25 | -2.53 | 0.02 | 0.26 |
Activation of N2 on TM3@C3N3
In the overall electrochemical NRR process, the primary and critical step involves the adsorption and activation of N2 molecules, a process of utmost importance as it is responsible for activating the N≡N triple bond, laying the foundation for the smooth protonation to follow. Figure 3A shows that the activation of N2 is facilitated via an electron transfer mechanism, where the partially filled d orbitals of TM atoms accept electrons from N2 molecules while simultaneously donating d electrons to the anti-bonding orbitals (π*) of
Figure 3. (A) Simplified schematic illustration of N2 binding to single- and double-atom sites; (B) Computed molecular orbitals showing the electronic structure of free N2 and N2 absorbed on Pt3/g-C3N3. The red dashed line is the d-band center; (C) The adsorption free energies (
Revealing the source of NRR activity in electrocatalysts provides guidance for designing and developing highly active catalysts. To uncover the fundamental mechanism behind the activation of N2, we employed the PBE functional to calculate the partial density of states (PDOS), enabling us to gain deeper insights into the nature of the interactions and the extent of N2 activation facilitated by the metal trimers[67,68]. The enhanced ability of Pt3/g-C3N3 to adsorb and activate N2, as compared to the free N2, can be attributed primarily to the presence of vacant and filled d orbitals. As displayed in Figure 3B, the empty 5d orbitals of Pt3 receive electrons from N2, resulting in the formation of bonding states. Simultaneously, a robust
To further understand the interacting nature of N2 and TM3@C3N3 catalysts, we conducted calculations to determine the
Reaction mechanism of electrochemical NRR
As shown in Figure 4A, one reaction mechanism for the electrocatalytic synthesis of ammonia, namely the enzymatic mechanism, is depicted, and an additional consecutive mechanism is presented in Supplementary Figure 1A. The distal mechanism and the alternative mechanism are also detailed in Supplementary Figure 1B. A common feature among them is that the N atom at one end of N2 is adsorbed on the catalyst, while the N element at the other end is not adsorbed. However, the N element at the far end preferentially reacts with the H proton. In the distal mechanism, N atoms leaving the surface of the catalyst preferentially react with H protons and release as ammonia, leaving *N adsorbed on the catalyst, which will start hydrogenation and form ammonia. An alternative mechanism involves hydrogenating two N atoms using six proton-electron pairs to form two NH3 molecules. Contrarily, in the enzymatic pathway, the N2 molecule is first decomposed into adsorbed *N atoms, and then, *N is gradually hydrogenated into ammonia. The hydrogenation process follows the same pathway as the alternative mechanism. In the consecutive mechanism, one of the N atoms undergoes hydrogenation first and subsequently reacts with the remaining N atoms, resulting in the formation of the second NH3 molecule. Owing to the distinct structures and performances of catalysts, the NRR reaction mechanism often varies. Nevertheless, numerous studies have shown that the initial or final step can be considered the potential determinant independent of NRR mechanisms[73-75]. The proton step with the maximal positive free energy change (∆Gmax) is defined as the PDS. It is well known that the ideal catalyst for an electrochemical NRR should meet the following criteria: (1) The ∆Gmax of the two key steps is below 0.55 eV, that is,
Figure 4. (A) Schematic illustration of Enzymatic mechanism towards NH3 formation on TM3@C3N3. Diagrams for N2 electroreduction via enzymatic mechanism on (B) Pt3@C3N3 and (C) Ru3@C3N3; (D) The optimized geometry of various intermediates on the Pt3@C3N3 structure along the enzymatic pathway of NRR. NRR: Nitrogen reduction reactions.
For a prompt evaluation of TM3@C3N3 catalysts regarding their NRR performance, we calculated the ∆G for the initial and final stages of NRR under open-circuit conditions (U = 0). The resulting values, along with corresponding diagrams, are presented in Table 2 and Supplementary Figure 2. Four classifications are considered to evaluate the critical steps, with the critical point set at 0.55 eV. Consequently, six systems met the above criteria, demonstrating decent catalytic activity in electrochemical NRR. In the case of Pt3@C3N3, the associated free energy diagram is presented in Figure 4B. The Pt3@C3N3 exhibits a propensity for NRR via enzymatic mechanisms, wherein N2 adopts a side-on configuration. In the enzymatic mechanism, the initial step of hydrogenation involves the formation of a chemical bond between a hydrogen atom and one of the N atoms, followed by alternating bonding to the two N atoms until a second NH3 molecule is produced. The ∆Gmax change is 0.24 eV, establishing the final hydrogenation step as the PDS of the entire electrochemical NRR. Similarly, we investigated the NRR pathway on Ru3@C3N3, as depicted in Figure 4C, revealing a ∆Gmax of 0.35 eV.
DFT-calculated potential-determining steps (including reaction mechanisms and corresponding reactions) and corresponding limiting potentials (UL) for TM3@C3N3 (TM = Re, Pt, Ru, Rh, Ta, Ir)
| TM3@C3N3 | Potential-determining step | UL (V) | |
| Mechanism | Reaction | ||
| Re | Consecutive | *HNNH + H+ + e- → *HNNH2 | -0.11 |
| Pt | Enzymatic | *NH2 + H+ + e- → *NH3 | -0.24 |
| Ru | Enzymatic Consecutive | *N2 + H+ + e- → *NNH *NNH+ H+ + e- → *NNH2 | -0.35 -0.40 |
| Rh | Enzymatic Consecutive | *N2 + H+ + e- → *NNH | -0.40 |
| Ta | Consecutive | *HNNH + H+ + e- → *HNNH2 | -0.42 |
| Ir | Enzymatic Consecutive | *NH2 + H+ + e- → *NH3 | -0.54 |
The relevant intermediate geometries of Pt3@C3N3 for each step are presented clearly in Figure 4D. It is evident that throughout the entire NRR process, the initial step (*N2 → *NNH) is identified as the PDS. Briefly speaking, for Pt3@C3N3 catalysts, the corresponding limiting potential (UL) value is -0.24 V, while for Ru3@C3N3 catalysts, the UL value is -0.35 V. Consequently, by applying the UL to the surfaces of Pt3@C3N3 and Ru3@C3N3 catalysts, it is ensured that all electron transfer steps occur spontaneously without any uphill energy barriers, which is beneficial to the production of NH3, where the reaction process of Ru3@C3N3 also follows an enzymatic mechanism.
It is worth emphasizing that the development of efficient NRR catalysts remains challenging due to the competition with HER[66,76,77]. An ideal NRR catalyst would demonstrate significantly higher NRR activity and considerably lower HER activity. To assess selectivity, we calculated the N2 adsorption energy and hydrogen adsorption energy on the designed TM3@C3N3 catalysts using Equation (2). A more negative difference between N2 adsorption energy and hydrogen adsorption energy indicates higher selectivity for NRR. The results are presented in Supplementary Figure 3. It is evident that both Pt3@C3N3 and Ru3@C3N3, which were previously identified as having the highest NRR activity, exhibit markedly higher selectivity for NRR over HER. These findings imply that these catalysts can ensure a high Faraday efficiency in catalytic electrochemical NRR.
CONCLUSIONS
In summary, this study provides a systematic investigation into the potential of C3N3-loaded TACs in electrocatalytic NRR using DFT calculations. Employing a stringent “five-step” filtering strategy, we have identified TM3@C3N3 (TM = Pt, Ru, Re) as highly promising candidates with the attributes of low energy cost, high selectivity, remarkable stability (both thermodynamic and kinetic), and remarkably low limiting potentials (-0.35~-0.11 V). Our analysis of electronic properties highlights that the exceptional NRR activity can be ascribed to the electron acceptance and donation mechanism involving d-π* interactions. This mechanism, combined with charge density differences and PDOS, underscores the qualifications of
DECLARATIONS
Authors’ contributions
Made substantial contributions to the conception and design of this article, writing, and editing: Pei W, Zhang W, Yu X
Made substantial contributions to the collation of literature and writing: Liu Y, Zhou S, Tu Y, Zhao J
Performed data analysis and discussion: Hou L, Xia W, Wang Z
Availability of data and materials
Supplementary Materials are available from the Journal of Materials Informatics or from the authors.
Financial support and sponsorship
This work was supported by the National Natural Science Foundation of China (Nos. 12304300, 11974068, 91961204, and 12075201), the Natural Science Foundation of Jiangsu Province (Nos. BK20230555 and BK20230563), the Natural Science Foundation of Jiangsu Higher Education Institutions of China (No. 23KJB140019), the Fundamental Research Funds for the Central Universities of China (Nos. DUT20LAB110 and DUT22ZD103), Outstanding Doctor Program of Yangzhou City “Lv Yang Jin Feng” (No. YZLYJFJH2022YXBSO84), and Open Research Fund of CNMGE Platform & NSCC-TJ (CNMGE2023007). The authors acknowledge the computer resources provided by the Shanghai Supercomputer Center.
Conflicts of interest
All authors declared that there are no conflicts of interest.
Ethical approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Copyright
© The Author(s) 2023.
Supplementary Materials
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Pei W, Zhang W, Yu X, Hou L, Xia W, Wang Z, Liu Y, Zhou S, Tu Y, Zhao J. Computational design of spatially confined triatomic catalysts for nitrogen reduction reaction. J Mater Inf 2023;3:26. http://dx.doi.org/10.20517/jmi.2023.35
AMA Style
Pei W, Zhang W, Yu X, Hou L, Xia W, Wang Z, Liu Y, Zhou S, Tu Y, Zhao J. Computational design of spatially confined triatomic catalysts for nitrogen reduction reaction. Journal of Materials Informatics. 2023; 3(4): 26. http://dx.doi.org/10.20517/jmi.2023.35
Chicago/Turabian Style
Pei, Wei, Wenya Zhang, Xueke Yu, Lei Hou, Weizhi Xia, Zi Wang, Yongfeng Liu, Si Zhou, Yusong Tu, Jijun Zhao. 2023. "Computational design of spatially confined triatomic catalysts for nitrogen reduction reaction" Journal of Materials Informatics. 3, no.4: 26. http://dx.doi.org/10.20517/jmi.2023.35
ACS Style
Pei, W.; Zhang W.; Yu X.; Hou L.; Xia W.; Wang Z.; Liu Y.; Zhou S.; Tu Y.; Zhao J. Computational design of spatially confined triatomic catalysts for nitrogen reduction reaction. J. Mater. Inf. 2023, 3, 26. http://dx.doi.org/10.20517/jmi.2023.35
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