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Hybrid 2D–CMOS microchips for memristive applications

Exploiting the excellent electronic properties of two-dimensional (2D) materials to fabricate advanced electronic circuits is a major goal for the semiconductor industry(1,2). However, most studies in this field have been limited to the fabrication and characterization of isolated large (more than 1...

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Autores principales: Zhu, Kaichen, Pazos, Sebastian, Aguirre, Fernando, Shen, Yaqing, Yuan, Yue, Zheng, Wenwen, Alharbi, Osamah, Villena, Marco A., Fang, Bin, Li, Xinyi, Milozzi, Alessandro, Farronato, Matteo, Muñoz-Rojo, Miguel, Wang, Tao, Li, Ren, Fariborzi, Hossein, Roldan, Juan B., Benstetter, Guenther, Zhang, Xixiang, Alshareef, Husam N., Grasser, Tibor, Wu, Huaqiang, Ielmini, Daniele, Lanza, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232361/
https://www.ncbi.nlm.nih.gov/pubmed/36972685
http://dx.doi.org/10.1038/s41586-023-05973-1
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author Zhu, Kaichen
Pazos, Sebastian
Aguirre, Fernando
Shen, Yaqing
Yuan, Yue
Zheng, Wenwen
Alharbi, Osamah
Villena, Marco A.
Fang, Bin
Li, Xinyi
Milozzi, Alessandro
Farronato, Matteo
Muñoz-Rojo, Miguel
Wang, Tao
Li, Ren
Fariborzi, Hossein
Roldan, Juan B.
Benstetter, Guenther
Zhang, Xixiang
Alshareef, Husam N.
Grasser, Tibor
Wu, Huaqiang
Ielmini, Daniele
Lanza, Mario
author_facet Zhu, Kaichen
Pazos, Sebastian
Aguirre, Fernando
Shen, Yaqing
Yuan, Yue
Zheng, Wenwen
Alharbi, Osamah
Villena, Marco A.
Fang, Bin
Li, Xinyi
Milozzi, Alessandro
Farronato, Matteo
Muñoz-Rojo, Miguel
Wang, Tao
Li, Ren
Fariborzi, Hossein
Roldan, Juan B.
Benstetter, Guenther
Zhang, Xixiang
Alshareef, Husam N.
Grasser, Tibor
Wu, Huaqiang
Ielmini, Daniele
Lanza, Mario
author_sort Zhu, Kaichen
collection PubMed
description Exploiting the excellent electronic properties of two-dimensional (2D) materials to fabricate advanced electronic circuits is a major goal for the semiconductor industry(1,2). However, most studies in this field have been limited to the fabrication and characterization of isolated large (more than 1 µm(2)) devices on unfunctional SiO(2)–Si substrates. Some studies have integrated monolayer graphene on silicon microchips as a large-area (more than 500 µm(2)) interconnection(3) and as a channel of large transistors (roughly 16.5 µm(2)) (refs. (4,5)), but in all cases the integration density was low, no computation was demonstrated and manipulating monolayer 2D materials was challenging because native pinholes and cracks during transfer increase variability and reduce yield. Here, we present the fabrication of high-integration-density 2D–CMOS hybrid microchips for memristive applications—CMOS stands for complementary metal–oxide–semiconductor. We transfer a sheet of multilayer hexagonal boron nitride onto the back-end-of-line interconnections of silicon microchips containing CMOS transistors of the 180 nm node, and finalize the circuits by patterning the top electrodes and interconnections. The CMOS transistors provide outstanding control over the currents across the hexagonal boron nitride memristors, which allows us to achieve endurances of roughly 5 million cycles in memristors as small as 0.053 µm(2). We demonstrate in-memory computation by constructing logic gates, and measure spike-timing dependent plasticity signals that are suitable for the implementation of spiking neural networks. The high performance and the relatively-high technology readiness level achieved represent a notable advance towards the integration of 2D materials in microelectronic products and memristive applications.
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spelling pubmed-102323612023-06-02 Hybrid 2D–CMOS microchips for memristive applications Zhu, Kaichen Pazos, Sebastian Aguirre, Fernando Shen, Yaqing Yuan, Yue Zheng, Wenwen Alharbi, Osamah Villena, Marco A. Fang, Bin Li, Xinyi Milozzi, Alessandro Farronato, Matteo Muñoz-Rojo, Miguel Wang, Tao Li, Ren Fariborzi, Hossein Roldan, Juan B. Benstetter, Guenther Zhang, Xixiang Alshareef, Husam N. Grasser, Tibor Wu, Huaqiang Ielmini, Daniele Lanza, Mario Nature Article Exploiting the excellent electronic properties of two-dimensional (2D) materials to fabricate advanced electronic circuits is a major goal for the semiconductor industry(1,2). However, most studies in this field have been limited to the fabrication and characterization of isolated large (more than 1 µm(2)) devices on unfunctional SiO(2)–Si substrates. Some studies have integrated monolayer graphene on silicon microchips as a large-area (more than 500 µm(2)) interconnection(3) and as a channel of large transistors (roughly 16.5 µm(2)) (refs. (4,5)), but in all cases the integration density was low, no computation was demonstrated and manipulating monolayer 2D materials was challenging because native pinholes and cracks during transfer increase variability and reduce yield. Here, we present the fabrication of high-integration-density 2D–CMOS hybrid microchips for memristive applications—CMOS stands for complementary metal–oxide–semiconductor. We transfer a sheet of multilayer hexagonal boron nitride onto the back-end-of-line interconnections of silicon microchips containing CMOS transistors of the 180 nm node, and finalize the circuits by patterning the top electrodes and interconnections. The CMOS transistors provide outstanding control over the currents across the hexagonal boron nitride memristors, which allows us to achieve endurances of roughly 5 million cycles in memristors as small as 0.053 µm(2). We demonstrate in-memory computation by constructing logic gates, and measure spike-timing dependent plasticity signals that are suitable for the implementation of spiking neural networks. The high performance and the relatively-high technology readiness level achieved represent a notable advance towards the integration of 2D materials in microelectronic products and memristive applications. Nature Publishing Group UK 2023-03-27 2023 /pmc/articles/PMC10232361/ /pubmed/36972685 http://dx.doi.org/10.1038/s41586-023-05973-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zhu, Kaichen
Pazos, Sebastian
Aguirre, Fernando
Shen, Yaqing
Yuan, Yue
Zheng, Wenwen
Alharbi, Osamah
Villena, Marco A.
Fang, Bin
Li, Xinyi
Milozzi, Alessandro
Farronato, Matteo
Muñoz-Rojo, Miguel
Wang, Tao
Li, Ren
Fariborzi, Hossein
Roldan, Juan B.
Benstetter, Guenther
Zhang, Xixiang
Alshareef, Husam N.
Grasser, Tibor
Wu, Huaqiang
Ielmini, Daniele
Lanza, Mario
Hybrid 2D–CMOS microchips for memristive applications
title Hybrid 2D–CMOS microchips for memristive applications
title_full Hybrid 2D–CMOS microchips for memristive applications
title_fullStr Hybrid 2D–CMOS microchips for memristive applications
title_full_unstemmed Hybrid 2D–CMOS microchips for memristive applications
title_short Hybrid 2D–CMOS microchips for memristive applications
title_sort hybrid 2d–cmos microchips for memristive applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232361/
https://www.ncbi.nlm.nih.gov/pubmed/36972685
http://dx.doi.org/10.1038/s41586-023-05973-1
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