Efficient simulations of charge density waves in the transition metal Dichalcogenide TiSe2

IF 9.4 1区 材料科学 Q1 CHEMISTRY, PHYSICAL npj Computational Materials Pub Date : 2024-09-07 DOI:10.1038/s41524-024-01396-2
Li Yin, Hong Tang, Tom Berlijn, Adrienn Ruzsinszky
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Abstract

Charge density waves (CDWs) in transition metal dichalcogenides are the subject of growing scientific interest due to their rich interplay with exotic phases of matter and their potential technological applications. Here, using density functional theory with advanced meta-generalized gradient approximations (meta-GGAs) and linear response time-dependent density functional theory (TDDFT) with state-of-the-art exchange-correlation kernels, we investigate the electronic, vibrational, and optical properties in 1T-TiSe2 with and without CDW. In both bulk and monolayer TiSe2, the electronic bands and phonon dispersions in either normal or CDW (semiconducting) phase are described well via meta-GGAs, which separate the valence and conduction bands just as HSE06 does but with significantly more computational feasibility. The experimentally observed humps of electron energy loss spectroscopy are successfully reproduced in TDDFT. Our work opens the door to simulating these complexities in CDW compounds from first principles by revealing meta-GGAs as an accurate low-cost alternative to HSE06.

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过渡金属二卤化物 TiSe2 中电荷密度波的高效模拟
过渡金属二钙化物中的电荷密度波(CDWs)因其与奇异物质相的丰富相互作用及其潜在的技术应用而日益受到科学界的关注。在这里,我们利用具有先进的元广义梯度近似(meta-GGAs)的密度泛函理论和具有最先进的交换相关核的线性响应时变密度泛函理论(TDDFT),研究了具有和不具有 CDW 的 1T-TiSe2 的电子、振动和光学性质。在块状和单层 TiSe2 中,正常相或 CDW(半导体)相的电子带和声子色散都可以通过元 GGA 得到很好的描述,元 GGA 分离了价带和导带,就像 HSE06 一样,但计算可行性要高得多。实验观察到的电子能量损失光谱驼峰在 TDDFT 中得到了成功再现。我们的工作揭示了元-GGAs 是 HSE06 的精确、低成本替代品,从而为从第一原理模拟 CDW 化合物的这些复杂性打开了大门。
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来源期刊
npj Computational Materials
npj Computational Materials Mathematics-Modeling and Simulation
CiteScore
15.30
自引率
5.20%
发文量
229
审稿时长
6 weeks
期刊介绍: npj Computational Materials is a high-quality open access journal from Nature Research that publishes research papers applying computational approaches for the design of new materials and enhancing our understanding of existing ones. The journal also welcomes papers on new computational techniques and the refinement of current approaches that support these aims, as well as experimental papers that complement computational findings. Some key features of npj Computational Materials include a 2-year impact factor of 12.241 (2021), article downloads of 1,138,590 (2021), and a fast turnaround time of 11 days from submission to the first editorial decision. The journal is indexed in various databases and services, including Chemical Abstracts Service (ACS), Astrophysics Data System (ADS), Current Contents/Physical, Chemical and Earth Sciences, Journal Citation Reports/Science Edition, SCOPUS, EI Compendex, INSPEC, Google Scholar, SCImago, DOAJ, CNKI, and Science Citation Index Expanded (SCIE), among others.
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