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中国物理学会期刊

双氮配位单原子Fe基催化剂的电解水析氢性能优化研究

Optimization Study of the Hydrogen Evolution Reaction Performance of a Dual-Nitrogen-Coordinated Single-Atom Fe-Based Catalyst for Water Electrolysis

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  • 氢能凭借其零碳排放以及高能量密度的特性,在全球能源结构朝着低碳化发展的背景之下,成为了关键可再生清洁能源。电解水催化制氢技术可有效提升制氢效率,还可以减少碳排放量,为规模化生产绿氢开拓了新的思路。近年来,单原子催化剂(Single-Atom Catalysts, SACs)因高原子利用率、可控的电子结构和优越的性能,成为目前用于电解水制氢的关键催化材料。本研究使用密度泛函理论(Density Functional Theory,DFT)结合相关性分析详细探究以碳材料为基底的双氮配位的新型二维铁基单原子催化剂Fe-N4-2N的电解水析氢(Hydrogen Evolution Reaction,HER)性能。研究结果表明,Fe-N4-2N具有良好的稳定性,氢吸附吉布斯自由能变化(△G*H≈0.06 eV)相比Fe-N4-C(△G*H≈0.24 eV)更接近于0,从而可以成为出色的电解水制氢催化剂,电子结构分析与相关性分析结果进一步验证了Fe的电荷转移是决定Fe基催化剂△G*H的主导因素,证实了配位环境诱导的电子结构调控在优化HER吸附/脱附平衡中的关键作用。因此,双N配位可以有效提升Fe基氮原子催化剂Fe-N4-C的电解水析氢性能。

     

    Hydrogen energy, characterized by its zero carbon emissions and high energy density, has emerged as a pivotal renewable and clean energy source amid the global transition toward a low-carbon energy structure. Electrocatalytic water splitting for hydrogen production not only enhances hydrogen generation efficiency but also reduces carbon emissions, offering a promising pathway for large-scale green hydrogen production. In recent years, single-atom catalysts (SACs) have become key catalytic materials for water electrolysis due to their high atom utilization efficiency, tunable electronic structures, and superior catalytic performance. In this study, density functional theory (DFT) combined with machine learning was employed to systematically investigate the hydrogen evolution reaction (HER) performance of a novel two-dimensional iron-based SAC, denoted as Fe-N4-2N, supported on a carbon substrate with dual nitrogen coordination. Specifically, a support vector regression (SVR) model was applied to identify the dominant descriptors governing △G*H across five Fe-N4-2X (X = C, N, S, P, B) configurations. The results demonstrate that Fe-N4-2N exhibits good structural stability, where elastic constant analysis and ab initio molecular dynamics (AIMD) simulations at 300 K confirm that Fe-N4-2N maintains structural integrity throughout the catalytic process. Its hydrogen adsorption energy difference (△G*H ≈ 0.06 eV) is much closer to the thermoneutral value (0 eV) than that of Fe-N4-C (△G*H ≈ 0.24 eV), indicating its superior catalytic potential for water-splitting hydrogen production. Electronic structure analysis together with machine learning results further reveal that the charge transfer of the Fe center serves as the dominant descriptor governing △G*H in Fe-based catalysts, confirming that coordination environment induced electronic structure modulation plays a crucial role in optimizing the adsorption/desorption balance during HER. Therefore, dual nitrogen coordination effectively enhances the HER activity of Fe-N4-C-based catalysts. This work suggests that deliberate modulation of the local coordination environment around Fe-center single atoms represents a broadly applicable strategy for developing high-performance single-atom electrocatalysts beyond the Fe-N4 system.

     

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