Layer-dependent evolution of electronic structures and correlations in rhombohedral multilayer graphene

石墨烯 扫描隧道显微镜 凝聚态物理 材料科学 磁性 超导电性 压扁 图层(电子) 电子结构 光谱学 纳米技术 物理 量子力学 复合材料
作者
Yue-Ying Zhou,Yang Zhang,Shihao Zhang,Hao Cai,Ling-Hui Tong,Yuan Tian,Tongtong Chen,Qiwei Tian,Chen Zhang,Yiliu Wang,Xuming Zou,Xingqiang Liu,Yuanyuan Hu,Li Zhang,Lijie Zhang,Wenxiao Wang,Lei Liao,Zhihui Qin,Long‐Jing Yin
出处
期刊:Cornell University - arXiv
标识
DOI:10.48550/arxiv.2312.13637
摘要

The recent discovery of superconductivity and magnetism in trilayer rhombohedral graphene (RG) establishes an ideal, untwisted platform to study strong correlation electronic phenomena. However, the correlated effects in multilayer RG have received limited attention, and, particularly, the evolution of the correlations with increasing layer number remains an unresolved question. Here, we show the observation of layer-dependent electronic structures and correlations, under surprising liquid nitrogen temperature, in RG multilayers from 3 to 9 layers by using scanning tunneling microscopy and spectroscopy. We explicitly determine layer-enhanced low-energy flat bands and interlayer coupling strengths. The former directly demonstrates the further flattening of low-energy bands in thicker RG, and the latter indicates the presence of varying interlayer interactions in RG multilayers. Moreover, we find significant splittings of the flat bands, ranging from ~50-80 meV, at 77 K when they are partially filled, indicating the emergence of interaction-induced strongly correlated states. Particularly, the strength of the correlated states is notably enhanced in thicker RG and reaches its maximum in the six-layer, validating directly theoretical predictions and establishing abundant new candidates for strongly correlated systems. Our results provide valuable insights into the layer dependence of the electronic properties in RG and demonstrate it as a suitable system for investigating robust and highly accessible correlated phases.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
tyy发布了新的文献求助10
1秒前
1秒前
Owen应助sxpab采纳,获得10
1秒前
jiayingchao完成签到,获得积分10
2秒前
梅菜菜发布了新的文献求助10
2秒前
2秒前
2秒前
3秒前
3秒前
3秒前
Shawn完成签到,获得积分10
3秒前
3秒前
3秒前
4秒前
十年负一生完成签到,获得积分10
4秒前
管遥发布了新的文献求助10
4秒前
科研通AI2S应助cfyoung采纳,获得10
5秒前
学术学习完成签到,获得积分10
5秒前
善学以致用应助奶昔源采纳,获得10
5秒前
悠悠应助圆圆酱采纳,获得30
5秒前
幸运鱼发布了新的文献求助10
6秒前
6秒前
6秒前
6秒前
7秒前
强子发布了新的文献求助10
7秒前
7秒前
7秒前
7秒前
7秒前
7秒前
唯梦发布了新的文献求助10
8秒前
8秒前
李爱国应助强健的冰旋采纳,获得10
8秒前
木桶人plus发布了新的文献求助10
8秒前
科研同人完成签到,获得积分10
8秒前
8秒前
8秒前
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Iron‐Sulfur Clusters: Biogenesis and Biochemistry 400
Healable Polymer Systems: Fundamentals, Synthesis and Applications 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6069817
求助须知:如何正确求助?哪些是违规求助? 7901659
关于积分的说明 16334711
捐赠科研通 5210799
什么是DOI,文献DOI怎么找? 2787043
邀请新用户注册赠送积分活动 1769855
关于科研通互助平台的介绍 1648020