Synaptic and Fast Switching Memristance in Porous Silicon-Based Structures

dc.contributor.authorTorres-Costa V
dc.contributor.authorMäkilä E
dc.contributor.authorGranroth S
dc.contributor.authorKukk E
dc.contributor.authorSalonen J
dc.contributor.organizationfi=materiaalitutkimuksen laboratorio|en=Materials Research Laboratory|
dc.contributor.organizationfi=teollisuusfysiikan laboratorio|en=Laboratory of Industrial Physics|
dc.contributor.organization-code1.2.246.10.2458963.20.15561262450
dc.contributor.organization-code1.2.246.10.2458963.20.66904373678
dc.converis.publication-id41360344
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/41360344
dc.date.accessioned2022-10-27T12:28:13Z
dc.date.available2022-10-27T12:28:13Z
dc.description.abstractMemristors are two terminal electronic components whose conductance depends on the amount of charge that has flown across them over time. This dependence can be gradual, such as in synaptic memristors, or abrupt, as in resistive switching memristors. Either of these memory effects are very promising for the development of a whole new generation of electronic devices. For the successful implementation of practical memristors, however, the development of low cost industry compatible memristive materials is required. Here the memristive properties of differently processed porous silicon structures are presented, which are suitable for different applications. Electrical characterization and SPICE simulations show that laser-carbonized porous silicon shows a strong synaptic memristive behavior influenced by defect diffusion, while wet-oxidized porous silicon has strong resistance switching properties, with switching ratios over 8000. Results show that practical memristors of either type can be achieved with porous silicon whose memristive properties can be adjusted by the proper material processing. Thus, porous silicon may play an important role for the successful realization of practical memristorics with cost-effective materials and processes.
dc.identifier.jour-issn2079-4991
dc.identifier.olddbid175716
dc.identifier.oldhandle10024/158810
dc.identifier.urihttps://www.utupub.fi/handle/11111/31494
dc.identifier.urnURN:NBN:fi-fe2021042823940
dc.language.isoen
dc.okm.affiliatedauthorMäkilä, Ermei
dc.okm.affiliatedauthorGranroth, Sari
dc.okm.affiliatedauthorKukk, Edwin
dc.okm.affiliatedauthorSalonen, Jarno
dc.okm.discipline114 Physical sciencesen_GB
dc.okm.discipline114 Fysiikkafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherMDPI
dc.publisher.countrySwitzerlanden_GB
dc.publisher.countrySveitsifi_FI
dc.publisher.country-codeCH
dc.relation.doi10.3390/nano9060825
dc.relation.ispartofjournalNanomaterials
dc.relation.issue6
dc.relation.volume9
dc.source.identifierhttps://www.utupub.fi/handle/10024/158810
dc.titleSynaptic and Fast Switching Memristance in Porous Silicon-Based Structures
dc.year.issued2019

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