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Selective area doping for Mott neuromorphic electronics
The cointegration of artificial neuronal and synaptic devices with homotypic materials and structures can greatly simplify the fabrication of neuromorphic hardware. We demonstrate experimental realization of vanadium dioxide (VO(2)) artificial neurons and synapses on the same substrate through selec...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022892/ https://www.ncbi.nlm.nih.gov/pubmed/36930716 http://dx.doi.org/10.1126/sciadv.ade4838 |
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author | Deng, Sunbin Yu, Haoming Park, Tae Joon Islam, A. N. M. Nafiul Manna, Sukriti Pofelski, Alexandre Wang, Qi Zhu, Yimei Sankaranarayanan, Subramanian K. R. S. Sengupta, Abhronil Ramanathan, Shriram |
author_facet | Deng, Sunbin Yu, Haoming Park, Tae Joon Islam, A. N. M. Nafiul Manna, Sukriti Pofelski, Alexandre Wang, Qi Zhu, Yimei Sankaranarayanan, Subramanian K. R. S. Sengupta, Abhronil Ramanathan, Shriram |
author_sort | Deng, Sunbin |
collection | PubMed |
description | The cointegration of artificial neuronal and synaptic devices with homotypic materials and structures can greatly simplify the fabrication of neuromorphic hardware. We demonstrate experimental realization of vanadium dioxide (VO(2)) artificial neurons and synapses on the same substrate through selective area carrier doping. By locally configuring pairs of catalytic and inert electrodes that enable nanoscale control over carrier density, volatility or nonvolatility can be appropriately assigned to each two-terminal Mott memory device per lithographic design, and both neuron- and synapse-like devices are successfully integrated on a single chip. Feedforward excitation and inhibition neural motifs are demonstrated at hardware level, followed by simulation of network-level handwritten digit and fashion product recognition tasks with experimental characteristics. Spatially selective electron doping opens up previously unidentified avenues for integration of emerging correlated semiconductors in electronic device technologies. |
format | Online Article Text |
id | pubmed-10022892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100228922023-03-18 Selective area doping for Mott neuromorphic electronics Deng, Sunbin Yu, Haoming Park, Tae Joon Islam, A. N. M. Nafiul Manna, Sukriti Pofelski, Alexandre Wang, Qi Zhu, Yimei Sankaranarayanan, Subramanian K. R. S. Sengupta, Abhronil Ramanathan, Shriram Sci Adv Physical and Materials Sciences The cointegration of artificial neuronal and synaptic devices with homotypic materials and structures can greatly simplify the fabrication of neuromorphic hardware. We demonstrate experimental realization of vanadium dioxide (VO(2)) artificial neurons and synapses on the same substrate through selective area carrier doping. By locally configuring pairs of catalytic and inert electrodes that enable nanoscale control over carrier density, volatility or nonvolatility can be appropriately assigned to each two-terminal Mott memory device per lithographic design, and both neuron- and synapse-like devices are successfully integrated on a single chip. Feedforward excitation and inhibition neural motifs are demonstrated at hardware level, followed by simulation of network-level handwritten digit and fashion product recognition tasks with experimental characteristics. Spatially selective electron doping opens up previously unidentified avenues for integration of emerging correlated semiconductors in electronic device technologies. American Association for the Advancement of Science 2023-03-17 /pmc/articles/PMC10022892/ /pubmed/36930716 http://dx.doi.org/10.1126/sciadv.ade4838 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Physical and Materials Sciences Deng, Sunbin Yu, Haoming Park, Tae Joon Islam, A. N. M. Nafiul Manna, Sukriti Pofelski, Alexandre Wang, Qi Zhu, Yimei Sankaranarayanan, Subramanian K. R. S. Sengupta, Abhronil Ramanathan, Shriram Selective area doping for Mott neuromorphic electronics |
title | Selective area doping for Mott neuromorphic electronics |
title_full | Selective area doping for Mott neuromorphic electronics |
title_fullStr | Selective area doping for Mott neuromorphic electronics |
title_full_unstemmed | Selective area doping for Mott neuromorphic electronics |
title_short | Selective area doping for Mott neuromorphic electronics |
title_sort | selective area doping for mott neuromorphic electronics |
topic | Physical and Materials Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022892/ https://www.ncbi.nlm.nih.gov/pubmed/36930716 http://dx.doi.org/10.1126/sciadv.ade4838 |
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