A General and Interpretable Adatom Model for Classifying Surface Morphologies of Nonmetallic Elements on Metal Substrates
Shao-Gang Xu, Chao He, Chang-Chun He, Feini Yan, Xingxing Dong, Fangfang Yang, Xiao‐Bao Yang, Hu Xu
Southern University of Science and Technology Quantum Science Center of Guangdong-Hong Kong-Macao Greater Bay Area South China University of Technology Chinese Academy of Sciences
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
We present a general and interpretable adatom model that enables the prediction and understanding of stable surface morphologies of nonmetallic elements deposited on metal substrates. By calculating the formation energies of isolated adatoms on various metal surfaces, we reveal the competition between interfacial interactions and the self-aggregation tendencies of the deposited elements. Based on this model, we classify four distinct surface morphologies that arise from nonmetal-metal substrate combinations. First-principles calculations across 15 nonmetallic elements and nine close-packed metal substrates show strong agreement between model predictions and experimentally reported morphologies. The model also identifies inconsistencies in certain experimentally observed structures and predicts previously unexplored stable morphologies, offering valuable guidance for future studies. Furthermore, we propose substrate engineering strategies, such as surface alloying, to modulate interfacial interactions, thereby enabling the controlled epitaxial growth of targeted two-dimensional materials, as supported by experimental validation.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
物理Surface and Thin Film Phenomena
2D Materials and Applications · Machine Learning in Materials Science
参考文献 81
此处列出前 3 条
引用本文 6
按被引量排序,此处列出前 3 条