Carrier dynamics govern photovoltaic–photocatalytic functionality in graphitic carbon nitride/transition metal dichalcogenide heterostructures

IF 5.2 3区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Nanoscale Pub Date : 2026-10-12 DOI:10.1039/d6nr02097f
Shuangli Yue,Dong-Hui Xu,Yitong Wang,Rong-Hui Tang,Li Zhang,Yunpeng Lu,Xian Wang,Mingli Yang
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Abstract

The rapid growth of global energy demand and excessive fossil-fuel consumption have intensified the urgent need for efficient solar-energy-conversion materials. However, the vast configurational space of heterostructures makes reliable screening particularly challenging, especially when attempting to distinguish whether a given system functions as a photocatalyst or a photovoltaic material. Current design strategies predominantly rely on static electronic-structure descriptors, such as band alignment and interfacial charge transfer, which capture only equilibrium energetics and fail to reflect the nonequilibrium evolution of photogenerated carriers. Here, we combine first-principles calculations with nonadiabatic molecular dynamics (NAMD) simulations to establish a static-to-dynamic evaluation strategy for graphitic carbon nitride/transition metal dichalcogenide (g-C3N4@TMD) heterostructures constructed from experimentally realized monolayers. We demonstrate that static descriptors alone are insufficient to determine functionality, whereas carrier dynamics governs the functional behavior of these systems. Notably, g-C3N4@HfS2 and g-C3N4@TiS2 satisfy conventional Z-scheme criteria based on band alignment. However, NAMD simulations reveal that interlayer carrier transfer dominates over selective recombination, precluding the formation of an effective Z-scheme pathway. In contrast, g-C3N4@MoS2 and g-C3N4@WS2 exhibit ultrafast interlayer carrier transfer and strongly suppressed electron–hole recombination. Quantitatively, recombination times are approximately two orders of magnitude longer than the corresponding transfer times for g-C3N4@MoS2, indicating pronounced kinetic asymmetry that favors long-lived charge separation and further supports its photovoltaic potential, with an idealized Scharber-model PCE estimate approaching 16%. These findings demonstrate that the kinetic competition between carrier transfer and recombination provides a critical dynamic criterion for evaluating and refining the functional classification inferred from static descriptors. More broadly, this work provides a general strategy for integrating static and dynamic descriptors into the evaluation of low-dimensional energy materials, offering new insights into interfacial charge-transfer mechanisms and guiding the rational design of next-generation solar energy conversion systems.

Abstract Image

载流子动力学控制石墨氮化碳/过渡金属二硫化物异质结构的光电催化功能
全球能源需求的迅速增长和化石燃料的过度消耗加剧了对高效太阳能转换材料的迫切需求。然而,异质结构的巨大构型空间使得可靠的筛选尤其具有挑战性,特别是在试图区分给定系统是作为光催化剂还是光伏材料时。目前的设计策略主要依赖于静态电子结构描述符,如能带对准和界面电荷转移,这些描述符只能捕获平衡能量,而不能反映光生载流子的非平衡演化。在这里,我们将第一性原理计算与非绝热分子动力学(NAMD)模拟相结合,建立了一种静态到动态的评估策略,用于由实验实现的单层构建的石墨氮化碳/过渡金属二硫化物(g-C3N4@TMD)异质结构。我们证明,静态描述符本身不足以确定功能,而载体动态控制这些系统的功能行为。值得注意的是,g-C3N4@HfS2和g-C3N4@TiS2满足基于波段对准的传统Z-scheme准则。然而,NAMD模拟表明,层间载流子转移主导了选择性重组,阻碍了有效z方案路径的形成。相反,g-C3N4@MoS2和g-C3N4@WS2表现出超快的层间载流子转移和强烈抑制的电子-空穴复合。在数量上,重组时间比g-C3N4@MoS2的相应转移时间大约长两个数量级,表明明显的动力学不对称有利于长时间的电荷分离,并进一步支持其光伏潜力,理想的scharber模型PCE估计接近16%。这些发现表明,载体转移和重组之间的动态竞争为评估和改进从静态描述符推断的功能分类提供了关键的动态标准。更广泛地说,这项工作为将静态和动态描述符整合到低维能量材料的评估中提供了一种通用策略,为界面电荷转移机制提供了新的见解,并指导了下一代太阳能转换系统的合理设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nanoscale
Nanoscale CHEMISTRY, MULTIDISCIPLINARY-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
12.10
自引率
3.00%
发文量
1628
审稿时长
1.6 months
期刊介绍: Nanoscale is a high-impact international journal, publishing high-quality research across nanoscience and nanotechnology. Nanoscale publishes a full mix of research articles on experimental and theoretical work, including reviews, communications, and full papers.Highly interdisciplinary, this journal appeals to scientists, researchers and professionals interested in nanoscience and nanotechnology, quantum materials and quantum technology, including the areas of physics, chemistry, biology, medicine, materials, energy/environment, information technology, detection science, healthcare and drug discovery, and electronics.
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