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arXiv 2303.07261cond-mat.str-elcond-mat.stat-mechphysics.chem-phphysics.comp-phquant-ph
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从头算电子-晶格降维:电荷密度波材料中的势能景观、非谐性及分子动力学

Ab initio electron-lattice downfolding: potential energy landscapes, anharmonicity, and molecular dynamics in charge density wave materials

Arne Schobert, Jan Berges, Erik G. C. P. van Loon, Michael A. Sentef, Sergey Brener, Mariana Rossi, Tim O. Wehling

AI总结:

该研究提出电子-晶格降维方法以降低复杂性,提升分子动力学模拟效率,在选定电荷密度波材料中验证了其准确性,并揭示了热与量子涨落对单层1H-TaS$_2$中CDW转变的影响。

摘要:

电子与核自由度的相互作用是凝聚态物理和化学中的一个突出问题。对于大系统、长时间尺度、非平衡态或强关联系统,计算挑战尤为突出。在这项工作中,我们展示了降维方法如何促进电子层面的复杂性降低,从而提升电子性质和核运动的模拟,特别是分子动力学(MD)模拟。我们针对选定的电荷密度波(CDW)系统,即1H-TaS$_2$、1T-TiSe$_2$、1H-NbS$_2$和一维碳链,将基于约束、去屏蔽及其组合的三种不同降维策略与全密度泛函计算进行了基准测试。我们发现,降维模型能够准确再现超胞上的势能面,并且与纯从头算计算相比,在MD模拟中实现了约五个数量级的计算加速。对于单层1H-TaS$_2$,我们报告了经典副本交换和量子路径积分MD模拟,揭示了热涨落和量子涨落对CDW转变的影响。

英文摘要:

The interplay of electronic and nuclear degrees of freedom presents an outstanding problem in condensed matter physics and chemistry. Computational challenges arise especially for large systems, long time scales, in nonequilibrium, or in systems with strong correlations. In this work, we show how downfolding approaches facilitate complexity reduction on the electronic side and thereby boost the simulation of electronic properties and nuclear motion - in particular molecular dynamics (MD) simulations. Three different downfolding strategies based on constraining, unscreening, and combinations thereof are benchmarked against full density functional calculations for selected charge density wave (CDW) systems, namely 1H-TaS$_2$, 1T-TiSe$_2$, 1H-NbS$_2$, and a one-dimensional carbon chain. We find that the downfolded models can reproduce potential energy surfaces on supercells accurately and facilitate computational speedup in MD simulations by about five orders of magnitude in comparison to purely ab initio calculations. For monolayer 1H-TaS$_2$ we report classical replica exchange and quantum path integral MD simulations, revealing the impact of thermal and quantum fluctuations on the CDW transition.

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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