元动力学
金红石
曲面重建
化学物理
材料科学
动力学
分子动力学
曲面(拓扑)
扩散
表面扩散
透射电子显微镜
钛
纳米技术
时间演化
化学动力学
原子力显微镜
表面结构
结晶学
晶体缺陷
过渡金属
析氧
作者
Liping Chen,Meiliang Ma,Bingqian Chen,Ying Jiang,Wentao Yuan,Zhongkang Han,Sergey V. Levchenko,Yong Wang
摘要
Elucidating the kinetics of surface reconstruction is fundamentally important yet inherently challenging due to the complex collective atomic motions occurring across high-dimensional potential-energy landscapes. Here, we combine machine-learning-based molecular dynamics simulations enhanced by well-tempered metadynamics with in situ environmental transmission electron microscopy to directly uncover the critical role of surface titanium diffusion in driving the structural evolution of the TiO_{2}(110)-(1×2) reconstruction. Under oxygen-deficient conditions, the TiO_{2}(110)-(1×2) reconstruction remains thermodynamically stable, and surface Ti migration is largely suppressed. In contrast, under oxygen-rich conditions, the surface Ti atomic rows exhibit pronounced splitting and migration, facilitated by the incorporation of additional oxygen atoms that enhance Ti mobility. Our simulations demonstrate that these oxygen-promoted processes can induce structural transformations of the TiO_{2}(110)-(1×2) reconstruction, resulting in transitions from double-row to single-row or triple-row configurations. These predictions are further validated by experimental observations. This Letter establishes a microscopic mechanism for rutile surface reconstruction kinetics and provides valuable insights for the controlled manipulation of surface structures under varying chemical environments.
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