Guanlin Yang , Hexiang Peng , Jian Huang , Hongjian Chen , Shifang Xiao , Wangyu Hu
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引用次数: 0
Abstract
Due to the diversity of atomic bonding, good plasticity and machinability are often considered hallmark characteristics of metals. Novel plastic inorganic semiconductors like α-Ag2S have challenged this conventional thinking, but relevant first-principles calculations still lack an intuitive and comprehensive understanding of the underlying plasticity mechanisms. From the perspective of machine learning molecular dynamics that can describe the microstructure evolution aptly, this work reveals the plasticity mechanism of the ionic-covalent system α-Ag2S. It is found that the S sublattice stabilized by movable Ag acts as a framework during deformation, while the mechanical response of α-Ag2S is sublattice-dependent. Shear bands or kink bands originating from random and local micro-kinks signify the plastic features, and the subsequent amorphization enables sustained deformation under high strains. Different from features in metals, the oppositely signed dislocation pairs in α-Ag2S can achieve nucleation and motion through coordinated lattice expansion and contraction, while the twining-like kink triggered in a staggered manner allows the material to accommodate large shear strains. The established idealized models capture the unconventional dislocation pair and pseudo-twinning kink, narrowing the blind area in our understanding of plasticity mechanisms within similar systems. The summarized novel structural and deformation features provide clear clues for identifying other plastic ionic-covalent crystals in superionic conductors.
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).
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