High-throughput discovery of perturbation-induced topological magnons

IF 11.9 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Mohammed J. Karaki, Ahmed E. Fahmy, Archibald J. Williams, Sara Haravifard, Joshua E. Goldberger, Yuan-Ming Lu
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Abstract

Topological magnons give rise to possibilities for engineering novel spintronics devices with critical applications in quantum information and computation, due to their symmetry-protected robustness and low dissipation. However, to make reliable and systematic predictions about the material realization of topological magnons has been a major challenge, due to the lack of neutron scattering data for most materials and the absence of reliable ab initio calculations for magnons. In this work, we significantly advance the symmetry-based approach for identifying topological magnons through developing a fully automated algorithm, utilizing the theory of symmetry indicators, that enables a highly efficient and large-scale search for candidate materials hosting perturbation-driven topological magnons. This progress not only streamlines the discovery process but also expands the scope of materials exploration beyond previous manual or traditional approaches, offering a powerful tool for uncovering novel topological phases in magnetic systems. Performing a large-scale search over all 1649 magnetic materials in the Bilbao Crystallographic Server (BCS) with a commensurate magnetic order, we discover 387 perturbation-induced topological magnon materials, significantly expanding the pool of topological magnon materials and showing that more than 23% of all commensurate magnetic compounds in the BCS database are topological. We further discuss examples and experimental accessibility of the candidate materials, shedding light on future experimental realizations of topological magnons in magnetic materials. We provide an open-source program that checks the symmetry-enforced magnon band topology of any commensurate magnetic structure upon perturbations and allows researchers to reproduce our results.

Abstract Image

微扰诱导拓扑磁振子的高通量发现
拓扑磁振子由于其对称保护的鲁棒性和低耗散性,为在量子信息和计算中具有关键应用的工程新型自旋电子学器件提供了可能性。然而,由于缺乏大多数材料的中子散射数据和缺乏可靠的磁振子从头计算,对拓扑磁振子的材料实现进行可靠和系统的预测一直是一个主要挑战。在这项工作中,我们通过开发一种全自动算法,利用对称指标理论,显著推进了基于对称性的拓扑磁振子识别方法,该算法能够高效、大规模地搜索含有微扰驱动拓扑磁振子的候选材料。这一进展不仅简化了发现过程,而且扩大了材料探索的范围,超出了以前的手工或传统方法,为发现磁性系统中的新型拓扑相提供了强大的工具。通过对毕尔巴鄂晶体服务器(Bilbao Crystallographic Server, BCS)中所有1649种磁性材料进行大规模搜索,我们发现了387种微扰诱导的拓扑磁振子材料,大大扩大了拓扑磁振子材料的范围,并表明BCS数据库中超过23%的相应磁性化合物是拓扑化合物。我们进一步讨论了候选材料的示例和实验可及性,为磁性材料中拓扑磁振子的未来实验实现提供了启示。我们提供了一个开源程序,可以检查任何相应磁结构的对称强制磁振子带拓扑结构,并允许研究人员复制我们的结果。
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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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