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    基于铜铁矿材料的电催化、光催化与光电催化机制辨析与融合路径前瞻

    Mechanistic discrimination and prospects for integration pathways in electrocatalysis, photocatalysis, and photoelectrocatalysis based on delafossite materials

    • 摘要: 电催化、光催化与光电催化是可持续能源转化的三大支柱技术,然而它们在概念与应用上的交织与混淆,阻碍了对催化过程共性与差异化机制的深刻理解。具有独特层状结构与高度可调电子特性的铜铁矿ABO2型氧化物,为在同一材料平台上系统性辨析这3类技术提供了理想的模型体系。研究以铜铁矿材料为研究对象,系统解构了电催化、光催化、光电催化在能量输入、电荷产生与输运动力学及界面过程上的本质差异。尽管技术路径迥异,其性能上限均取决于材料对“电荷时空行为”的管理效率。基于此共性原理,评述了铜铁矿材料在各种催化模式下的性能瓶颈,并前瞻性地提出了从材料智能设计(如自适应异质结、梯度功能器件)到系统集成创新(如时序串联反应、片上光电耦合)的多层级融合策略。最后,指出了3类催化技术及其融合在跨尺度表征、多物理场理论模拟及统一评价标准方面面临的挑战,展望了通过人工智能辅助设计实现按需定制能源化学转化的未来愿景,为开发下一代高效、智能的催化系统提供了清晰的理论框架与思路。

       

      Abstract: Electrocatalysis, photocatalysis, and photoelectrocatalysis constitute three pivotal technologies for sustainable energy conversion. However, the interwoven concepts and applications among them have hindered a profound understanding of their shared principles and differentiated mechanisms. Delafossite-type oxides (ABO2), characterized by their unique layered structure and highly tunable electronic properties, serve as an ideal model platform for a systematic comparison of these three catalytic pathways on a unified material basis. This review employs Delafossite as a lens to deconstruct the fundamental distinctions among electrocatalysis, photocatalysis, and photoelectrocatalysis in terms of energy input, charge generation/transport dynamics, and interfacial processes. The analysis reveals that, despite their disparate operational paradigms, the ultimate performance ceiling of each technology is uniformly governed by the material’s efficiency in managing the spatiotemporal behavior of charge carriers. Building upon this common principle, this review provides a critical assessment of the performance bottlenecks of Delafossite in each catalytic mode and proposes forward-looking, multi-level fusion strategies. These span from intelligent material design (e.g., adaptive heterojunctions, gradient functional devices) to innovative system integration (e.g., temporally sequenced reactors, on-chip photoelectrochemical coupling). Furthermore, this review outlines key challenges facing the field, including the need for cross-scale characterization, multi-physics theoretical simulation, and unified evaluation standards. It concludes with a perspective on a future vision of on-demand, customized energy-chemical conversion enabled by artificial intelligence-aided design, aiming to provide a clear theoretical framework and guidline for developing next-generation efficient and intelligent catalytic systems.

       

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