参数化(大气建模)
可转让性
工具箱
瓶颈
异质结
计算机科学
稳健性(进化)
过程(计算)
材料科学
集合(抽象数据类型)
简单(哲学)
统计物理学
不完美的
数学优化
钥匙(锁)
形式主义(音乐)
互补性(分子生物学)
作者
Anh‐Luan Phan,Daniele Soccodato,Alessandro Pecchia,Alessia Di Vito,Matthias Auf der Maur
出处
期刊:Physical review
[American Physical Society]
日期:2025-09-29
卷期号:112 (16)
被引量:2
摘要
The tedious parametrization process remains a key bottleneck hindering broader adoption of the empirical tight-binding method. Here, we discuss the challenges and requirements of finding parameters for Slater-Koster-based empirical tight-binding schemes, and explain the shortcomings of the parametrization procedures commonly used in the literature. We then propose our way to address these challenges, through the presentation of an open-sourced parametrization toolbox that breaks up the task into several, incremental stages. The prototype of our toolbox is tailored especially to deal with a recently proposed, highly transferable scheme, but can be easily adapted to any Slater-Koster-based scheme. A case study of fitting GaN parameters is considered. Remarkably, the obtained GaN parameter set shows high transferability when applied to various contexts: from simple zincblende or wurtzite bulk cases, to polytypic heterostructures and even highly mismatched alloys in their dilute limits. This confirms the effectiveness and robustness of our parametrization approach.
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