在确定hP4-Na的带间隙时,电荷转移和空间描述器之间的协同作用:可解释的机器学习方法
Leilei Zhang1, Yaru Wei1, Xiaozhen Yan2
1Henan Key Laboratory of Nanocomposites and Applications, Institute of Nanostructured Functional Materials, Huanghe Science and Technology College, Zhengzhou 450006, China.
Inorganic chemistry
|March 10, 2026
概括
电极是具有离子类电子的材料,具有可调节的带间隙. 这项研究揭示了电荷转移和电子分布是控制hP4-Na在压力下的带间隙的关键因素.
科学领域:
- 凝聚物质物理学 凝聚物质物理学
- 材料科学 材料科学 材料科学
- 计算化学的计算化学
背景情况:
- 由于间歇性准原子 (ISQ),电极具有独特的电子特性.
- 非金属电极在极端环境中表现有前途,但它们的带隙机制尚不清楚.
- 了解这些机制对于设计新型电子材料至关重要.
研究的目的:
- 阐明控制非金属电极在压力下的带间隙的微观机制.
- 开发一个用于压力下hP4-Na电子行为的预测框架.
- 识别影响频段间隙的关键电子结构描述符.
主要方法:
- 第一个原则是在不同压力和应变下进行计算.
- 机器学习技术,包括可解释性分析和符号回归.
- 分析电荷转移 (Q_Na1) 和电子空间分布 (V_ISQ/Cell).
主要成果:
- 电荷转移和电子空间分布被确定为调节带间隙的主导因素.
- 一个基于五个电子结构描述器的预测公式实现了>0.98准确度.
- V_ISQ/Cell被证明可以将绝缘行为和超导性联系起来,提供了超越电子定位功能的新视角.
结论:
- 电子结构被证实是hP4-Na.中带隙的物理起源.
- 建立了一个对hP4-Na在压力下电子行为的定量预测框架.
- 这项研究为高压电极的合理设计提供了基础.
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