Exploring Dielectric Properties in Atomistic Models of Amorphous Boron Nitride

Thomas Galvani, Ali K Hamze, Laura Caputo, Onurcan Kaya, Simon Dubois, Luigi Colombo, Viet-Hung Nguyen, Yongwoo Shin, Hyeon-Jin Shin, Jean-Christophe Charlier, Stephan Roche
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Abstract

We report a theoretical study of dielectric properties of models of amorphous Boron Nitride, using interatomic potentials generated by machine learning. We first perform first-principles simulations on small (about 100 atoms in the periodic cell) sample sizes to explore the emergence of mid-gap states and its correlation with structural features. Next, by using a simplified tight-binding electronic model, we analyse the dielectric functions for complex three dimensional models (containing about 10.000 atoms) embedding varying concentrations of sp1, sp2 and sp3 bonds between B and N atoms. Within the limits of these methodologies, the resulting value of the zero-frequency dielectric constant is shown to be influenced by the population density of such mid-gap states and their localization characteristics. We observe nontrivial correlations between the structure-induced electronic fluctuations and the resulting dielectric constant values. Our findings are however just a first step in the quest of accessing fully accurate dielectric properties of as-grown amorphous BN of relevance for interconnect technologies and beyond.
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探索非晶氮化硼原子模型的介电性能
我们报告了利用机器学习生成的原子间势对无定形氮化硼模型的介电性能进行的理论研究。我们首先在小样本量(周期单元中约有 100 个原子)上进行了第一原理模拟,以探索中隙态的出现及其与结构特征的相关性。接下来,通过使用简化的紧密结合电子模型,我们分析了嵌入 B 原子和 N 原子间不同浓度 sp1、sp2 和 sp3 键的复杂三维模型(包含约 10,000 个原子)的介电常数。结果表明,在这些方法的限制范围内,零频介电常数的结果值会受到这种中隙态的群体密度及其定位特性的影响。我们观察到结构诱导的电子波动与所产生的介电常数值之间存在非对称的相关性。然而,我们的发现仅仅是获得与互连技术及其他技术相关的非晶 BN 的完全准确介电特性的第一步。
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