Electronically phase separated nano-network in antiferromagnetic insulating LaMnO3/PrMnO3/CaMnO3 tricolor superlattice

Qiang Li, Tian Miao, Huimin Zhang, Weiyan Lin, Wenhao He, Yang Zhong, Lifen Xiang, Lina Deng, Biying Ye, Qian Shi, Yinyan Zhu, Hangwen Guo, Wenbin Wang, Changlin Zheng, Lifeng Yin, Xiaodong Zhou (), Hongjun Xiang () and Jian Shen ()
Additional contact information
Qiang Li: Fudan University
Tian Miao: Fudan University
Huimin Zhang: Fudan University
Weiyan Lin: Fudan University
Wenhao He: Fudan University
Yang Zhong: Fudan University
Lifen Xiang: Fudan University
Lina Deng: Fudan University
Biying Ye: Fudan University
Qian Shi: Fudan University
Yinyan Zhu: Fudan University
Hangwen Guo: Fudan University
Wenbin Wang: Fudan University
Changlin Zheng: Fudan University
Lifeng Yin: Fudan University
Xiaodong Zhou: Fudan University
Hongjun Xiang: Fudan University
Jian Shen: Fudan University

Nature Communications, 2022, vol. 13, issue 1, 1-8

Abstract: Abstract Strongly correlated materials often exhibit an electronic phase separation (EPS) phenomena whose domain pattern is random in nature. The ability to control the spatial arrangement of the electronic phases at microscopic scales is highly desirable for tailoring their macroscopic properties and/or designing novel electronic devices. Here we report the formation of EPS nanoscale network in a mono-atomically stacked LaMnO3/CaMnO3/PrMnO3 superlattice grown on SrTiO3 (STO) (001) substrate, which is known to have an antiferromagnetic (AFM) insulating ground state. The EPS nano-network is a consequence of an internal strain relaxation triggered by the structural domain formation of the underlying STO substrate at low temperatures. The same nanoscale network pattern can be reproduced upon temperature cycling allowing us to employ different local imaging techniques to directly compare the magnetic and transport state of a single EPS domain. Our results confirm the one-to-one correspondence between ferromagnetic (AFM) to metallic (insulating) state in manganite. It also represents a significant step in a paradigm shift from passively characterizing EPS in strongly correlated systems to actively engaging in its manipulation.

Date: 2022
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DOI: 10.1038/s41467-022-34377-4

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