铜超导体中非局域磁介导对的晶格-电荷-磁耦合波动

IF 9.4 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Xi Chen, Yuchuang Cao, Jianghui Pan, Jiahao Dong, Changkai Luo, Xin Li
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引用次数: 0

摘要

由非谐波声子耦合产生的动态电荷转移或电荷通量振荡引起了人们对铜超导体越来越多的兴趣。本文发展了一种新的计算方法来分析给定材料的所有原子键上的电荷通量,揭示了一个令人惊讶的事实,即具有高超导转变温度的铜材料显示出支持局部电荷振荡以外的全局电荷通量流动的强烈趋势。这些通量与不同铜族的最高超导转变温度和强磁波动都有很强的相关性。基于这些发现,我们构建了一个基于量子场论的电荷通量模型来评估这些通量流介导的有效相互作用。最后,我们讨论了这种通量驱动配对机制对设计新型高Tc超导体的意义,为发现高Tc超导材料提供了一种潜在的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Coupled lattice-charge-magnetic fluctuations for nonlocal flux mediated pairing in cuprate superconductors

Coupled lattice-charge-magnetic fluctuations for nonlocal flux mediated pairing in cuprate superconductors

Dynamic charge transfers, or charge flux oscillations, generated by anharmonic phonon coupling, have attracted increasing interest in cuprate superconductors. In this article, a new computational method is developed to analyze such charge fluxes along all atomic bonds for a given material, which unveils a surprising fact that cuprate materials with high superconducting transition temperature show a strong tendency to support global charge flux flows beyond local charge oscillations. Such fluxes further show a strong correlation with both the maximum superconducting transition temperature of different cuprate families and the strong magnetic fluctuations as well. Motivated by these findings, we construct a charge flux model derived from quantum field theory to evaluate the effective interactions mediated by these flux flows. Finally, we discuss the implications of this flux-driven pairing mechanism for the design of new high-Tc superconductors, offering a potential strategy for discovering higher Tc superconductive materials.

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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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