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  • Maciel, Renan P.Uppsala universitet,Materialteori (author)

Resistive switching in graphene : A theoretical case study on the alumina-graphene interface

  • Article/chapterEnglish2023

Publisher, publication year, extent ...

  • American Physical Society,2023
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:oru-110212
  • https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-110212URI
  • https://doi.org/10.1103/PhysRevResearch.5.043147DOI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-520369URI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • R.P.M. is grateful to Ivan P. Miranda for fruitful discussions. The computational resources for this work were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) , partially funded by the Swedish Research Council. The authors also acknowledge European Research Council (ERC) (synergy grant FASTCORR, project No. 854843 Consolidator Grant SPINNER, Project No. 101002772) , the Knut and Alice Wallenberg foundation (KAW) , the Swedish Energy Agency (Energimyndigheten) , StandUPP, and eSSENCE. Y.O.K. acknowledges the financial support from the Swedish Research Council (VR) under Project No. 2019-03569 and the Goran Gustafsson Foundation. D.T. acknowledges the financial support from the Swedish Research Council (VR) under Project No. 2019-03666r 1002772) , the Knut and Alice Wallenberg foundation (KAW) , the Swedish Energy Agency (Energimyndigheten) , StandUPP, and eSSENCE. Y.O.K. acknowledges the financial support from the Swedish Research Council (VR) under Project No. 2019-03569 and the Goran Gustafsson Foundation. D.T. acknowledges the financial support from the Swedish Research Council (VR) under Project No. 2019-03666.
  • Neuromorphic computing mimics the brain's architecture to create energy-efficient devices. Reconfigurable synapses are crucial for neuromorphic computing, which can be achieved through memory-resistive (memristive) switching. Graphene-based memristors have shown nonvolatile multibit resistive switching with desirable endurance. Through first-principles calculations, we study the structural and electronic properties of graphene in contact with an ultra-thin alumina overlayer and demonstrate how one can use charge doping to exert direct control over its interfacial covalency, reversibly switching between states of conductivity and resistivity in the graphene layer. We further show that this proposed mechanism can be stabilized through the p-type doping of graphene, e.g., by naturally occurring defects, the passivation of dangling bonds or defect engineering.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Eriksson, Olle,1960-Uppsala universitet,Materialteori(Swepub:uu)olleerik (author)
  • Kvashnin, Yaroslav O.Uppsala universitet,Materialteori(Swepub:uu)yarkv416 (author)
  • Thonig, Danny,1986-Uppsala universitet,Örebro universitet,Institutionen för naturvetenskap och teknik,Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden,Materialteori,Örebro Univ, Sch Sci & Technol, Fakultetsgatan 1, SE-70182 Örebro, Sweden.(Swepub:uu)danth478 (author)
  • Belotcerkovtceva, DariaUppsala universitet,Energimaterialens fysik(Swepub:uu)darbe471 (author)
  • Kamalakar, M. VenkataUppsala universitet,Energimaterialens fysik(Swepub:uu)venmu994 (author)
  • Ong, Chin ShenUppsala universitet,Materialteori(Swepub:uu)chion984 (author)
  • Uppsala universitetMaterialteori (creator_code:org_t)

Related titles

  • In:Physical Review Research: American Physical Society5:42643-1564

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