Spatio-temporal evolution of resistance state in simulated memristive networks
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arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2021
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| _version_ | 1866913198274248704 |
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| author | Di Francesco, Fabrizio Sanca, Gabriel A. Quinteros, Cynthia P. |
| author_facet | Di Francesco, Fabrizio Sanca, Gabriel A. Quinteros, Cynthia P. |
| contents | Originally studied for their suitability to store information compactly, memristive networks are now being analysed as implementations of neuromorphic circuits. An extremely high number of elements is thus mandatory. To surpass the limited achievable connectivity - due to the featuring size - exploiting self-assemblies has been proposed as an alternative, in turn posing more challenges. In an attempt for offering insight on what to expect when characterizing the collective electrical response of switching assemblies, in this work, networks of memristive elements are simulated. Collective electrical behaviour and maps of resistance states are characterized upon different electrical stimuli. By comparing the response of homogeneous and heterogeneous networks, we delineate differences that might be experimentally observed when the number of memristive units is scaled up and disorder arises as an inevitable feature. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2108_05830 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Spatio-temporal evolution of resistance state in simulated memristive networks Di Francesco, Fabrizio Sanca, Gabriel A. Quinteros, Cynthia P. Emerging Technologies Disordered Systems and Neural Networks Computational Physics Originally studied for their suitability to store information compactly, memristive networks are now being analysed as implementations of neuromorphic circuits. An extremely high number of elements is thus mandatory. To surpass the limited achievable connectivity - due to the featuring size - exploiting self-assemblies has been proposed as an alternative, in turn posing more challenges. In an attempt for offering insight on what to expect when characterizing the collective electrical response of switching assemblies, in this work, networks of memristive elements are simulated. Collective electrical behaviour and maps of resistance states are characterized upon different electrical stimuli. By comparing the response of homogeneous and heterogeneous networks, we delineate differences that might be experimentally observed when the number of memristive units is scaled up and disorder arises as an inevitable feature. |
| title | Spatio-temporal evolution of resistance state in simulated memristive networks |
| topic | Emerging Technologies Disordered Systems and Neural Networks Computational Physics |
| url | https://arxiv.org/abs/2108.05830 |