{"title":"Unraveling the Hall-Petch to inverse Hall-Petch transition in nanocrystalline CdTe","authors":"Jun Li , Kun Luo , Qi An","doi":"10.1016/j.ijmecsci.2024.109852","DOIUrl":null,"url":null,"abstract":"<div><div>The transition from Hall-Petch to inverse Hall-Petch behaviors in nanocrystalline semiconductors is complex and remains poorly understood, despite its importance to the mechanical performance of these materials. In this study, we used molecular dynamics simulations with a machine-learning force field (ML-FF MD) to examine the shear deformation and failure mechanisms of nanocrystalline cadmium telluride (<em>n</em>-CdTe) across grain sizes ranging from 4.62 nm to 18.47 nm. Our results reveal a transition from Hall-Petch to inverse Hall-Petch behavior in <em>n</em>-CdTe at a critical grain size of ∼9.79 nm, where the material's maximum shear strength reaches about 1.23 GPa. This transition is driven by varying probabilities of phase transitions from the zinc-blende to the <em>β</em>-Sn-like CdTe phase, due to the competition between shear localization and the availability of nucleation sites. Importantly, regardless of grain sizes, this phase transition often starts near grain boundaries (GBs), causing volume shrinkage and tensile stresses at GBs, further leading to fractures between grains. These findings offer valuable insights into the underlying mechanisms driving the transition from Hall-Petch to inverse Hall-Petch behavior as grain size decreases, as well as the failure behaviors observed in <em>n</em>-CdTe and other semiconductor materials.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"286 ","pages":"Article 109852"},"PeriodicalIF":7.1000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mechanical Sciences","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0020740324008932","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The transition from Hall-Petch to inverse Hall-Petch behaviors in nanocrystalline semiconductors is complex and remains poorly understood, despite its importance to the mechanical performance of these materials. In this study, we used molecular dynamics simulations with a machine-learning force field (ML-FF MD) to examine the shear deformation and failure mechanisms of nanocrystalline cadmium telluride (n-CdTe) across grain sizes ranging from 4.62 nm to 18.47 nm. Our results reveal a transition from Hall-Petch to inverse Hall-Petch behavior in n-CdTe at a critical grain size of ∼9.79 nm, where the material's maximum shear strength reaches about 1.23 GPa. This transition is driven by varying probabilities of phase transitions from the zinc-blende to the β-Sn-like CdTe phase, due to the competition between shear localization and the availability of nucleation sites. Importantly, regardless of grain sizes, this phase transition often starts near grain boundaries (GBs), causing volume shrinkage and tensile stresses at GBs, further leading to fractures between grains. These findings offer valuable insights into the underlying mechanisms driving the transition from Hall-Petch to inverse Hall-Petch behavior as grain size decreases, as well as the failure behaviors observed in n-CdTe and other semiconductor materials.
期刊介绍:
The International Journal of Mechanical Sciences (IJMS) serves as a global platform for the publication and dissemination of original research that contributes to a deeper scientific understanding of the fundamental disciplines within mechanical, civil, and material engineering.
The primary focus of IJMS is to showcase innovative and ground-breaking work that utilizes analytical and computational modeling techniques, such as Finite Element Method (FEM), Boundary Element Method (BEM), and mesh-free methods, among others. These modeling methods are applied to diverse fields including rigid-body mechanics (e.g., dynamics, vibration, stability), structural mechanics, metal forming, advanced materials (e.g., metals, composites, cellular, smart) behavior and applications, impact mechanics, strain localization, and other nonlinear effects (e.g., large deflections, plasticity, fracture).
Additionally, IJMS covers the realms of fluid mechanics (both external and internal flows), tribology, thermodynamics, and materials processing. These subjects collectively form the core of the journal's content.
In summary, IJMS provides a prestigious platform for researchers to present their original contributions, shedding light on analytical and computational modeling methods in various areas of mechanical engineering, as well as exploring the behavior and application of advanced materials, fluid mechanics, thermodynamics, and materials processing.