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arXiv 2104.05066cond-mat.mtrl-scicond-mat.mes-hallcond-mat.str-el
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双原子层中的强关联激子绝缘体

Strongly correlated excitonic insulator in atomic double layers

Liguo Ma, Phuong X. Nguyen, Zefang Wang, Yongxin Zeng, Kenji Watanabe, Takashi Taniguchi, Allan H. MacDonald, Kin Fai Mak, Jie Shan

摘要:

激子绝缘体(EI)是由半导体中束缚电子-空穴对(激子)的形成而产生的,并为量子多玻色子物理提供了固态平台。强激子-激子排斥预计将通过抑制密度和相位波动来稳定凝聚的超流和晶相。虽然已经报道了EI的光谱特征,但强相关EI状态的确凿证据仍然难以捉摸。在这里,我们证明了一个强相关的空间间接二维(2D)EI基态形成在过渡金属二硫属化物(TMD)半导体双层。当施加在两个电隔离的TMD层之间的偏置电压被调谐到填充束缚电子-空穴对但不填充自由电子或空穴的范围时,形成平衡层间激子流体。电容测量表明,流体是激子可压缩的,但电荷不可压缩的直接热力学证据的EI。该流体还与超过10的无因次激子耦合常数强相关。我们进一步构建了一个激子相图,揭示了莫特转变和相互作用稳定的准凝聚。我们的实验为实现激子的奇异量子相位以及多端激子电路的应用铺平了道路。

英文摘要:

Excitonic insulators (EI) arise from the formation of bound electron-hole pairs (excitons) in semiconductors and provide a solid-state platform for quantum many-boson physics. Strong exciton-exciton repulsion is expected to stabilize condensed superfluid and crystalline phases by suppressing both density and phase fluctuations. Although spectroscopic signatures of EIs have been reported, conclusive evidence for strongly correlated EI states has remained elusive. Here, we demonstrate a strongly correlated spatially indirect two-dimensional (2D) EI ground state formed in transition metal dichalcogenide (TMD) semiconductor double layers. An equilibrium interlayer exciton fluid is formed when the bias voltage applied between the two electrically isolated TMD layers, is tuned to a range that populates bound electron-hole pairs, but not free electrons or holes. Capacitance measurements show that the fluid is exciton-compressible but charge-incompressible - direct thermodynamic evidence of the EI. The fluid is also strongly correlated with a dimensionless exciton coupling constant exceeding 10. We further construct an exciton phase diagram that reveals both the Mott transition and interaction-stabilized quasi-condensation. Our experiment paves the path for realizing the exotic quantum phases of excitons, as well as multi-terminal exciton circuitry for applications.

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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