An electrical characterisation methodology for benchmarking memristive device technologies
An electrical characterisation methodology for benchmarking memristive device technologies
The emergence of memristor technologies brings new prospects for modern electronics via enabling novel in-memory computing solutions and energy-efficient and scalable reconfigurable hardware implementations. Several competing memristor technologies have been presented with each bearing distinct performance metrics across multi-bit memory capacity, low-power operation, endurance, retention and stability. Application needs however are constantly driving the push towards higher performance, which necessitates the introduction of a standard benchmarking procedure for fair evaluation across distinct key metrics. Here we present an electrical characterisation methodology that amalgamates several testing protocols in an appropriate sequence adapted for memristors benchmarking needs, in a technology-agnostic manner. Our approach is designed to extract information on all aspects of device behaviour, ranging from deciphering underlying physical mechanisms to assessing different aspects of electrical performance and even generating data-driven device-specific models. Importantly, it relies solely on standard electrical characterisation instrumentation that is accessible in most electronics laboratories and can thus serve as an independent tool for understanding and designing new memristive device technologies.
Stathopoulos, Spyros
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Michalas, Loukas
25d00d54-5900-485e-bd52-d3505fe881a7
Khiat, Ali
bf549ddd-5356-4a7d-9c12-eb6c0d904050
Serb, Alexantrou
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Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Stathopoulos, Spyros
98d12f06-ad01-4708-be19-a97282968ee6
Michalas, Loukas
25d00d54-5900-485e-bd52-d3505fe881a7
Khiat, Ali
bf549ddd-5356-4a7d-9c12-eb6c0d904050
Serb, Alexantrou
30f5ec26-f51d-42b3-85fd-0325a27a792c
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Stathopoulos, Spyros, Michalas, Loukas, Khiat, Ali, Serb, Alexantrou and Prodromakis, Themistoklis
(2019)
An electrical characterisation methodology for benchmarking memristive device technologies.
Scientific Reports, 9, [19412].
(doi:10.1038/s41598-019-55322-4).
Abstract
The emergence of memristor technologies brings new prospects for modern electronics via enabling novel in-memory computing solutions and energy-efficient and scalable reconfigurable hardware implementations. Several competing memristor technologies have been presented with each bearing distinct performance metrics across multi-bit memory capacity, low-power operation, endurance, retention and stability. Application needs however are constantly driving the push towards higher performance, which necessitates the introduction of a standard benchmarking procedure for fair evaluation across distinct key metrics. Here we present an electrical characterisation methodology that amalgamates several testing protocols in an appropriate sequence adapted for memristors benchmarking needs, in a technology-agnostic manner. Our approach is designed to extract information on all aspects of device behaviour, ranging from deciphering underlying physical mechanisms to assessing different aspects of electrical performance and even generating data-driven device-specific models. Importantly, it relies solely on standard electrical characterisation instrumentation that is accessible in most electronics laboratories and can thus serve as an independent tool for understanding and designing new memristive device technologies.
Text
s41598-019-55322-4
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Accepted/In Press date: 15 November 2019
e-pub ahead of print date: 19 December 2019
Identifiers
Local EPrints ID: 436770
URI: http://eprints.soton.ac.uk/id/eprint/436770
ISSN: 2045-2322
PURE UUID: 7307a5a2-7d9e-48f4-ba19-2a1cb93ed975
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Date deposited: 06 Jan 2020 17:31
Last modified: 16 Mar 2024 05:32
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Author:
Spyros Stathopoulos
Author:
Loukas Michalas
Author:
Ali Khiat
Author:
Alexantrou Serb
Author:
Themistoklis Prodromakis
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