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

Zhang, Zhen; Yu, Yanjiang; Qiao, Xurong; Sun, Jie; Ni, Yan; Chen, Jikun

doi:10.1016/j.mssp.2023.107735

Cited by 3 publications

(3 citation statements)

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“…The protonation of SmNiO 3 is capable of displaying reconfigurable properties. 152,300 A study by Chen et al, 301 showcases the influence of tensile strain on hydrogenated SmNiO 3 film. Tensile strain lattice distortions in single-crystalline SmNiO 3 films can reduce the ability to incorporate hydrogen but increase electron localization and resistivity.…”

Section: Vanadium Oxide (Vo Xmentioning

confidence: 99%

“…Unmodified SmNiO 3 (SNO), classified as a quantum material within strongly correlated electron systems, belongs to the family of perovskite-structured rare-earth nickelates. The protonation of SmNiO 3 is capable of displaying reconfigurable properties. , A study by Chen et al, showcases the influence of tensile strain on hydrogenated SmNiO 3 film. Tensile strain lattice distortions in single-crystalline SmNiO 3 films can reduce the ability to incorporate hydrogen but increase electron localization and resistivity.…”

Section: Theoretical Models To Study Proton-induced Neuromorphic Beha...mentioning

confidence: 99%

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Proton Conducting Neuromorphic Materials and Devices

Yuan,

Patel,

Banik

et al. 2024

Chem. Rev.

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Neuromorphic computing and artificial intelligence hardware generally aims to emulate features found in biological neural circuit components and to enable the development of energy-efficient machines. In the biological brain, ionic currents and temporal concentration gradients control information flow and storage. It is therefore of interest to examine materials and devices for neuromorphic computing wherein ionic and electronic currents can propagate. Protons being mobile under an external electric field offers a compelling avenue for facilitating biological functionalities in artificial synapses and neurons. In this review, we first highlight the interesting biological analog of protons as neurotransmitters in various animals. We then discuss the experimental approaches and mechanisms of proton doping in various classes of inorganic and organic proton-conducting materials for the advancement of neuromorphic architectures. Since hydrogen is among the lightest of elements, characterization in a solid matrix requires advanced techniques. We review powerful synchrotronbased spectroscopic techniques for characterizing hydrogen doping in various materials as well as complementary scattering techniques to detect hydrogen. First-principles calculations are then discussed as they help provide an understanding of proton migration and electronic structure modification. Outstanding scientific challenges to further our understanding of proton doping and its use in emerging neuromorphic electronics are pointed out.

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Section: Vanadium Oxide (Vo Xmentioning

confidence: 99%

Section: Theoretical Models To Study Proton-induced Neuromorphic Beha...mentioning

confidence: 99%

Proton Conducting Neuromorphic Materials and Devices

Yuan,

Patel,

Banik

et al. 2024

Chem. Rev.

View full text Add to dashboard Cite

show abstract

“…LnNiO 3 compounds (Ln – lanthanide cation) have already been investigated for different purposes, including electrocatalysis, 1 energy storage, 2,3 heterogeneous catalysis, 4,5 artificial intelligence, 6 gas sensing, 2 etc . Their metal-to-insulator transition has also been widely inspected.…”

Section: Introductionmentioning

confidence: 99%