2020
DOI: 10.1021/acsanm.9b02416
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Bi-Doped Single-Crystalline (001) Epitaxial TiO2 Anatase Nanostructures for Resistive Random Access Memory Applications

Abstract: Resistive switching memory devices are an emerging class of nonvolatile memories and have shown that outstanding device performance originates from the migration of oxygen vacancies. Research efforts are made to enhance the resistive switching behavior of metal oxide nanostructures. This work reports resistive switching properties of bismuth doped singlecrystalline epitaxial anatase TiO 2 nanostructures fabricated on (001) oriented Nb:SrTiO 3 substrates. These nanostructures are fabricated with a Bi 4 Ti 3 O 1… Show more

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Cited by 5 publications
(6 citation statements)
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“…The excellent durability and retention properties make this device structure a suitable candidate for capacitive memory applications. The resistive conversion properties of bismuth-doped anatase type TiO 2 nanostructures prepared on Nb:SrTiO 3 (Nb:STO) substrates were reported by Bogle et al [ 79 ]. Figure 12 a shows the synthesis process of TiO 2 nanostructures.…”
Section: Optoelectrical Application Based On Tio 2 ...mentioning
confidence: 96%
“…The excellent durability and retention properties make this device structure a suitable candidate for capacitive memory applications. The resistive conversion properties of bismuth-doped anatase type TiO 2 nanostructures prepared on Nb:SrTiO 3 (Nb:STO) substrates were reported by Bogle et al [ 79 ]. Figure 12 a shows the synthesis process of TiO 2 nanostructures.…”
Section: Optoelectrical Application Based On Tio 2 ...mentioning
confidence: 96%
“…Inspired by neurotransmission of the brain, memristors (memory + resistor) with an inherent resist switching performance have been recognized as excellent candidates for mimicking both artificial synapses and neurons. The excellent switching performance matrix, such as long retention (>10 years), stable endurance (>10 10 cycles), small switching energy (<10 pJ), , fast switching speed (<1 ns), , and nanoscale cells (<10 nm) pave the way for memristor to be the next-generation in-memory computing. Memristors are formed by an active layer with the top and bottom electrodes. The conductance of the memristors can be varied by external stimuli, including external electrical field, , optical illumination, , tactile and auditory sensory systems; therefore, the multiple analog resistance states can be obtained by historical stimuli. Till now, various materials have been applied for the active layer of the memristor including nitrides, oxides, chalcogenides, MXenes, and polymers .…”
Section: Introductionmentioning
confidence: 99%
“…Memristors provide excellent potential as fundamental neuronal and synaptic components for realizing energy-efficient and high-performance in-memory computing. However, several synaptic characteristics should be considered for superior computing capability, including dynamic range (ON/OFF ratio), nonlinearity in the weight update, multistorage capability, cycle-to-cycle variation, and device-to-device variation. TiO 2 thin film-based memristors, including the single crystalline (001) epitaxial TiO 2 nanostructure as the active layer, have been intensively studied as a promising candidate for next-generation nonvolatile memristors . Recently, a tunable synaptic performance has been realized in a Ti/TiO 2 /Si memory device, demonstrating its potential for the in-memory computing applications …”
Section: Introductionmentioning
confidence: 99%
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