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arXiv 2402.16614cond-mat.mtrl-sci
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多碱金属锑化物的热力学稳定性与振动性质

Thermodynamic stability and vibrational properties of multi-alkali antimonides

Julia Santana-Andreo, Holger-Dietrich Saßnick, Caterina Cocchi

AI总结:

本文利用密度泛函理论结合机器学习研究多碱金属锑化物的热力学稳定性与振动性质,发现SCAN泛函在精度与成本间取得最优平衡,且高Cs浓度体系具有更强的非谐性。

摘要:

现代超亮电子束产生技术的进展已开启了基于同步辐射的前所未有的实验突破。当前挑战在于利用碱金属基半导体等新型光电阴极材料提升电子源质量。为释放其潜力,必须对其基本性质进行详细表征与预测。本工作中,我们采用密度泛函理论结合机器学习技术,探究多种碱金属锑化物晶体的热力学稳定性,重点考察交换关联势近似方法的作用。结果表明,SCAN泛函在描述这些材料振动性质时,在精度与计算成本之间提供了最优平衡。此外,研究发现Cs原子浓度较高的体系表现出增强的非谐性,所用方法能够准确预测并表征这些非谐性。

英文摘要:

Modern advances in generating ultrabright electron beams have unlocked unprecedented experimental advances based on synchrotron radiation. Current challenges lie in improving the quality of electron sources with novel photocathode materials such as alkali-based semiconductors. To unleash their potential, a detailed characterization and prediction of their fundamental properties is essential. In this work, we employ density functional theory combined with machine learning techniques to probe the thermodynamic stability of various alkali antimonide crystals, emphasizing the role of the approximations taken for the exchange-correlation potential. Our results reveal that the SCAN functional offers an optimal trade-off between accuracy and computational costs to describe the vibrational properties of these materials. Furthermore, it is found that systems with a higher concentration of Cs atoms exhibit enhanced anharmonicities, which are accurately predicted and characterized with the employed methodology.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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