A Cumulative Approach to Common Neighborhood Analysis for Crystalline Structure Characterization in Atomistic Simulations

Ali Radhi, Iacobellis, K. Beahdinan
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Abstract

Crystalline characterization poses a challenge when atomic deformation and phase transformation are occurring in an atomic simulation. Surface features are also of great importance to discern bulk features from surface properties and surface science. Embedded atomic features are conventionally characterized by high value parameters to distinguish them from perfect crystalline phase to extract crack tips, dislocations, surfaces and other crystalline features. Common neighborhood analysis has been presented as an adjusted method to characterize those features with enhanced formulation to the current framework to characterize non-monoatomic interactions. The present work introduces a novel approach to characterize crystalline structures by means of cumulative common neighborhood parameterization (CCNP) for arbitrary structures. The method is compared with centrosymmetry parameter CSP and common neighborhood parameter CNA. The results showed a better performance in discerning surface and bulk features with a high visible range between bulk, surface and other atoms. The method was also extended to characterize a complex P42/mnm space group, non-monoatomic crystal with no common first nearest neighbors.
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原子模拟中晶体结构表征的共邻域分析累积方法
当原子模拟中发生原子变形和相变时,晶体表征提出了挑战。表面特征对于从表面性质和表面科学中识别体特征也很重要。嵌入原子特征通常用高值参数来表征,以将其与完美结晶相区分开来,从而提取裂纹尖端、位错、表面和其他晶体特征。共同邻域分析已被提出作为一种调整的方法来表征这些特征,并增强了对当前表征非单原子相互作用的框架的表述。本文介绍了一种利用任意结构的累积共邻域参数化(CCNP)来表征晶体结构的新方法。将该方法与中心对称参数CSP和共邻域参数CNA进行了比较。结果表明,该方法具有较好的表面和体特征识别性能,体、表面和其他原子之间具有较高的可见范围。该方法还扩展到一个复杂的P42/mnm空间群,没有共同第一近邻的非单原子晶体。
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