Operating Mechanism Principles and Advancements for Halide Perovskite-Based Memristors and Neuromorphic Devices
With the advent of the generation of artificial intelligence (AI) based on big data-processing technologies, next-generation memristor and memristive neuromorphic devices have been actively studied with great interest to overcome the von Neumann bottleneck limits. Among various candidates, halide pe...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/385046 |
| Acceso en línea: | http://hdl.handle.net/10261/385046 |
| Access Level: | acceso abierto |
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Operating Mechanism Principles and Advancements for Halide Perovskite-Based Memristors and Neuromorphic DevicesKim, So-YeonZhang, HeyiRubio-Magnieto, JeniferWith the advent of the generation of artificial intelligence (AI) based on big data-processing technologies, next-generation memristor and memristive neuromorphic devices have been actively studied with great interest to overcome the von Neumann bottleneck limits. Among various candidates, halide perovskites (HPs) have been in the spotlight as potential candidates for these devices due to their unique switching characteristics with low energy consumption and flexible integration compatibility across various sources for scalability. We outline the characteristics and operating principles of HP-based memristors and their neuromorphic devices. We explain filamentary- and interface-type switching according to the type of conducting pathway occurring inside the active HP layer and the operating mechanisms depending on the species that make up this conducting pathway. We summarize the types and mechanisms of current changes beneficial for neuromorphic device applications and finally organize various suggested analysis tools and physical models to enable experimental determination of switching mechanisms from various perspectives.This work was funded by the European Research Council (ERC) via Horizon Europe Advanced Grant, grant agreement no. 101097688 (“PeroSpiker”). Funding for open access charge: CRUE-Universitat Politècnica de València.ACS PublicationsEuropean Research CouncilConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2025202520242025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_dcae04bcPublisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/385046reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/ERC/H2020/101097688http://dx.doi.org/10.1021/acs.jpclett.4c02170Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3850462026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Operating Mechanism Principles and Advancements for Halide Perovskite-Based Memristors and Neuromorphic Devices |
| title |
Operating Mechanism Principles and Advancements for Halide Perovskite-Based Memristors and Neuromorphic Devices |
| spellingShingle |
Operating Mechanism Principles and Advancements for Halide Perovskite-Based Memristors and Neuromorphic Devices Kim, So-Yeon |
| title_short |
Operating Mechanism Principles and Advancements for Halide Perovskite-Based Memristors and Neuromorphic Devices |
| title_full |
Operating Mechanism Principles and Advancements for Halide Perovskite-Based Memristors and Neuromorphic Devices |
| title_fullStr |
Operating Mechanism Principles and Advancements for Halide Perovskite-Based Memristors and Neuromorphic Devices |
| title_full_unstemmed |
Operating Mechanism Principles and Advancements for Halide Perovskite-Based Memristors and Neuromorphic Devices |
| title_sort |
Operating Mechanism Principles and Advancements for Halide Perovskite-Based Memristors and Neuromorphic Devices |
| dc.creator.none.fl_str_mv |
Kim, So-Yeon Zhang, Heyi Rubio-Magnieto, Jenifer |
| author |
Kim, So-Yeon |
| author_facet |
Kim, So-Yeon Zhang, Heyi Rubio-Magnieto, Jenifer |
| author_role |
author |
| author2 |
Zhang, Heyi Rubio-Magnieto, Jenifer |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
European Research Council Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| description |
With the advent of the generation of artificial intelligence (AI) based on big data-processing technologies, next-generation memristor and memristive neuromorphic devices have been actively studied with great interest to overcome the von Neumann bottleneck limits. Among various candidates, halide perovskites (HPs) have been in the spotlight as potential candidates for these devices due to their unique switching characteristics with low energy consumption and flexible integration compatibility across various sources for scalability. We outline the characteristics and operating principles of HP-based memristors and their neuromorphic devices. We explain filamentary- and interface-type switching according to the type of conducting pathway occurring inside the active HP layer and the operating mechanisms depending on the species that make up this conducting pathway. We summarize the types and mechanisms of current changes beneficial for neuromorphic device applications and finally organize various suggested analysis tools and physical models to enable experimental determination of switching mechanisms from various perspectives. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 2025 2025 2025 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_dcae04bc Publisher's version info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/385046 |
| url |
http://hdl.handle.net/10261/385046 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
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#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/ERC/H2020/101097688 http://dx.doi.org/10.1021/acs.jpclett.4c02170 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
| dc.publisher.none.fl_str_mv |
ACS Publications |
| publisher.none.fl_str_mv |
ACS Publications |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
| instname_str |
Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869423389029957632 |
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15,81155 |