Details

Autor(en) / Beteiligte

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

Titel

Strongly correlated nickelate: Recent progress of synthesis and applications in artificial intelligence

Ist Teil von

• Materials science in semiconductor processing, 2023-11, Vol.166, p.107735, Article 107735

Ort / Verlag

Elsevier Ltd

Erscheinungsjahr

2023

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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.