Strongly Correlated Nickelate: Recent Progress of Synthesis and Applications in Artificial Intelligence

Zhen Zhang, Yiping Yu,Xurong Qiao,Jiahui Sun,Yan Ni,Jikun Chen

Materials Science in Semiconductor Processing（2023）SCI 3区

Xi An Jiao Tong Univ | Beijing Advanced Innovation Center for Materials Genome Engineering | State Key Laboratory for Mechanical Behavior of Materials | Center for Spintronics and Quantum Systems

Cited 2|Views12

Abstract

Perovskite nickelates (ReNiO3) belong to the family of strongly correlated materials, the electrical properties of which are extremely sensitive to external stimuli. Nevertheless, material synthesis of ReNiO3 is challenging due to the metastability of the Ni3+ valence state. Recent years have witnessed both the exciting development in applications of correlated perovskite nickelates in memory devices and neuromorphic systems and progress in their synthesis techniques. In this paper, we review the epitaxial and non-epitaxial growth of correlated nickelates and highlight the role of heterogeneous nucleation and oxygen pressure in the material synthesis of metastable ReNiO3. We further discuss recent breakthroughs in the application of correlated nickelates in advanced memory and the neuromorphic devices regarding their underlying mechanisms including electro-thermally driven and interfacial-charge driven insulator-metal transitions, and ionic defect mediated local Mott transitions.

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Key words

Perovskite nickelate,Metal-insulator transition,Synthesis technique,Neuromorphic device

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