Spatial Interactions in Hydrogenated Perovskite Nickelate Synaptic Networks

Ravindra Singh Bisht; Jaeseoung Park; Haoming Yu; Chen Wu; Nikhil Tilak; Sylvie Rangan; Tae J. Park; Yifan Yuan; Sarmistha Das; Uday Goteti; Hee Taek Yi; Hussein Hijazi; Abdullah Al-Mahboob; Jerzy T. Sadowski; Hua Zhou; Seongshik Oh; Eva Y. Andrei; Monica T. Allen; Duygu Kuzum; Alex Frano; Robert C. Dynes; Shriram Ramanathan

doi:10.1021/acs.nanolett.3c02076

Spatial Interactions in Hydrogenated Perovskite Nickelate Synaptic Networks

Ravindra Singh Bisht, Jaeseoung Park, Haoming Yu, Chen Wu, Nikhil Tilak, Sylvie Rangan, Tae J. Park, Yifan Yuan, Sarmistha Das, Uday Goteti, Hee Taek Yi, Hussein Hijazi, Abdullah Al-Mahboob, Jerzy T. Sadowski, Hua Zhou, Seongshik Oh, Eva Y. Andrei, Monica T. Allen, Duygu Kuzum, Alex FranoRobert C. Dynes, Shriram Ramanathan

School of Arts and Sciences, New High Energy Theory Center

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

A key aspect of how the brain learns and enables decision-making processes is through synaptic interactions. Electrical transmission and communication in a network of synapses are modulated by extracellular fields generated by ionic chemical gradients. Emulating such spatial interactions in synthetic networks can be of potential use for neuromorphic learning and the hardware implementation of artificial intelligence. Here, we demonstrate that in a network of hydrogen-doped perovskite nickelate devices, electric bias across a single junction can tune the coupling strength between the neighboring cells. Electrical transport measurements and spatially resolved diffraction and nanoprobe X-ray and scanning microwave impedance spectroscopic studies suggest that graded proton distribution in the inhomogeneous medium of hydrogen-doped nickelate film enables this behavior. We further demonstrate signal integration through the coupling of various junctions.

Original language	English (US)
Pages (from-to)	7166-7173
Number of pages	8
Journal	Nano Letters
Volume	23
Issue number	15
DOIs	https://doi.org/10.1021/acs.nanolett.3c02076
State	Published - Aug 9 2023

All Science Journal Classification (ASJC) codes

Bioengineering
General Chemistry
General Materials Science
Condensed Matter Physics
Mechanical Engineering

Keywords

neuromorphic computing
perovskite nickelates
quantum materials
synaptic plasticity

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10.1021/acs.nanolett.3c02076

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Bisht, R. S., Park, J., Yu, H., Wu, C., Tilak, N., Rangan, S., Park, T. J., Yuan, Y., Das, S., Goteti, U., Yi, H. T., Hijazi, H., Al-Mahboob, A., Sadowski, J. T., Zhou, H., Oh, S., Andrei, E. Y., Allen, M. T., Kuzum, D., ... Ramanathan, S. (2023). Spatial Interactions in Hydrogenated Perovskite Nickelate Synaptic Networks. Nano Letters, 23(15), 7166-7173. https://doi.org/10.1021/acs.nanolett.3c02076

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title = "Spatial Interactions in Hydrogenated Perovskite Nickelate Synaptic Networks",

abstract = "A key aspect of how the brain learns and enables decision-making processes is through synaptic interactions. Electrical transmission and communication in a network of synapses are modulated by extracellular fields generated by ionic chemical gradients. Emulating such spatial interactions in synthetic networks can be of potential use for neuromorphic learning and the hardware implementation of artificial intelligence. Here, we demonstrate that in a network of hydrogen-doped perovskite nickelate devices, electric bias across a single junction can tune the coupling strength between the neighboring cells. Electrical transport measurements and spatially resolved diffraction and nanoprobe X-ray and scanning microwave impedance spectroscopic studies suggest that graded proton distribution in the inhomogeneous medium of hydrogen-doped nickelate film enables this behavior. We further demonstrate signal integration through the coupling of various junctions.",

keywords = "neuromorphic computing, perovskite nickelates, quantum materials, synaptic plasticity",

author = "Bisht, {Ravindra Singh} and Jaeseoung Park and Haoming Yu and Chen Wu and Nikhil Tilak and Sylvie Rangan and Park, {Tae J.} and Yifan Yuan and Sarmistha Das and Uday Goteti and Yi, {Hee Taek} and Hussein Hijazi and Abdullah Al-Mahboob and Sadowski, {Jerzy T.} and Hua Zhou and Seongshik Oh and Andrei, {Eva Y.} and Allen, {Monica T.} and Duygu Kuzum and Alex Frano and Dynes, {Robert C.} and Shriram Ramanathan",

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year = "2023",

month = aug,

day = "9",

doi = "10.1021/acs.nanolett.3c02076",

language = "English (US)",

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Bisht, RS, Park, J, Yu, H, Wu, C, Tilak, N, Rangan, S, Park, TJ, Yuan, Y, Das, S, Goteti, U, Yi, HT, Hijazi, H, Al-Mahboob, A, Sadowski, JT, Zhou, H, Oh, S , Andrei, EY, Allen, MT, Kuzum, D, Frano, A, Dynes, RC & Ramanathan, S 2023, 'Spatial Interactions in Hydrogenated Perovskite Nickelate Synaptic Networks', Nano Letters, vol. 23, no. 15, pp. 7166-7173. https://doi.org/10.1021/acs.nanolett.3c02076

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T1 - Spatial Interactions in Hydrogenated Perovskite Nickelate Synaptic Networks

AU - Bisht, Ravindra Singh

AU - Park, Jaeseoung

AU - Yu, Haoming

AU - Wu, Chen

AU - Tilak, Nikhil

AU - Rangan, Sylvie

AU - Park, Tae J.

AU - Yuan, Yifan

AU - Das, Sarmistha

AU - Goteti, Uday

AU - Yi, Hee Taek

AU - Hijazi, Hussein

AU - Al-Mahboob, Abdullah

AU - Sadowski, Jerzy T.

AU - Zhou, Hua

AU - Oh, Seongshik

AU - Andrei, Eva Y.

AU - Allen, Monica T.

AU - Kuzum, Duygu

AU - Frano, Alex

AU - Dynes, Robert C.

AU - Ramanathan, Shriram

PY - 2023/8/9

Y1 - 2023/8/9

N2 - A key aspect of how the brain learns and enables decision-making processes is through synaptic interactions. Electrical transmission and communication in a network of synapses are modulated by extracellular fields generated by ionic chemical gradients. Emulating such spatial interactions in synthetic networks can be of potential use for neuromorphic learning and the hardware implementation of artificial intelligence. Here, we demonstrate that in a network of hydrogen-doped perovskite nickelate devices, electric bias across a single junction can tune the coupling strength between the neighboring cells. Electrical transport measurements and spatially resolved diffraction and nanoprobe X-ray and scanning microwave impedance spectroscopic studies suggest that graded proton distribution in the inhomogeneous medium of hydrogen-doped nickelate film enables this behavior. We further demonstrate signal integration through the coupling of various junctions.

AB - A key aspect of how the brain learns and enables decision-making processes is through synaptic interactions. Electrical transmission and communication in a network of synapses are modulated by extracellular fields generated by ionic chemical gradients. Emulating such spatial interactions in synthetic networks can be of potential use for neuromorphic learning and the hardware implementation of artificial intelligence. Here, we demonstrate that in a network of hydrogen-doped perovskite nickelate devices, electric bias across a single junction can tune the coupling strength between the neighboring cells. Electrical transport measurements and spatially resolved diffraction and nanoprobe X-ray and scanning microwave impedance spectroscopic studies suggest that graded proton distribution in the inhomogeneous medium of hydrogen-doped nickelate film enables this behavior. We further demonstrate signal integration through the coupling of various junctions.

KW - neuromorphic computing

KW - perovskite nickelates

KW - quantum materials

KW - synaptic plasticity

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JO - Nano Letters

JF - Nano Letters

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ER -

Spatial Interactions in Hydrogenated Perovskite Nickelate Synaptic Networks

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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