Organic dye-sensitized f-MWCNTs-TiO2 composite for optically controlled resistive switching memory applications

Killedar, Shirish T.; Ahir, Namita A.; Morankar, Pritam J.; Tiwari, Arpita; Patil, Pramod; Dongale, Tukaram D.; Kim, Deok‐kee

doi:10.1016/j.optmat.2020.110333

Cited by 13 publications

(6 citation statements)

References 42 publications

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“…In contrast to conventional voltage-driven memory technologies, [40][41][42] our optoelectronic synapse comprising a molecular heterojunction architecture can be operated even under an ultralow operating V DS of À0.001 V and ultrashort light stimulation of 50 ms. The EPSC enhancement was observed after each consecutive light pulse (wavelength 450 nm; intensity 21.2 mW cm À2 ; pulse width 50 ms), demonstrating a transition from STP-to-LTP, according to rehearsal learning, as shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

Molecular template growth of organic heterojunctions to tailor visual neuroplasticity for high performance phototransistors with ultralow energy consumption

Ercan

Hung

et al. 2023

Nanoscale Horiz.

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Section: Resultsmentioning

confidence: 99%

Molecular template growth of organic heterojunctions to tailor visual neuroplasticity for high performance phototransistors with ultralow energy consumption

Ercan

Hung

et al. 2023

Nanoscale Horiz.

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“…The difference between these parameters and those in Table 1 are insignificant. The methods used can be applied in the analysis of a wide range of characteristic memristor CVCs [44][45][46][47].…”

Section: Model Training and Applicationmentioning

confidence: 99%

Research and Development of Parameter Extraction Approaches for Memristor Models

et al. 2021

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Memristors are among the most promising devices for building neural processors and non-volatile memory. One circuit design stage involves modeling, which includes the option of memristor models. The most common approach is the use of compact models, the accuracy of which is often determined by the accuracy of their parameter extraction from experiment results. In this paper, a review of existing extraction methods was performed and new parameter extraction algorithms for an adaptive compact model were proposed. The effectiveness of the developed methods was confirmed for the volt-ampere characteristic of a memristor with a vertical structure: TiN/HfxAl1-xOy/HfO2/TiN.

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“…The RS phenomenon is currently present in many materials such as transition metal oxides [18,19], perovskite oxides [20], layered double hydroxides [21], and transition metal dichalcogenides [22]. It is mainly reported that metal oxides like ZnO [23], TiO 2 [24,25], SnO 2 [26], MnO 2 [27], etc exhibit RS properties. Due to its optoelectronic, photochemical, and electronic properties, TiO 2 is a promising RS material [28].…”

Section: Introductionmentioning

confidence: 99%

Solvothermal synthesis of TiO₂ nanospheres for non-volatile memory and synaptic learning applications

et al. 2023

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In this study, we used the one-pot solvothermal method to synthesize the TiO2 nanospheres (NSs) and used them for non-volatile memory and neuromorphic computing applications. Several analytical tools were used to understand the structural, optical, morphological, and compositional characteristics of synthesized TiO2 NSs. The tetragonal crystal structure of anatase TiO2 was formed, according to the Rietveld refined X-ray diffraction results. The nanosphere morphology was confirmed by field emission scanning electron microscopy and transmission electron microscopy images. X-ray photoelectron spectroscopy was probed to understand the elemental composition and electronic states of the TiO2 NSs. We specifically looked at the impact of reaction time on the structural, optical, morphological, compositional, and resistive switching properties of TiO2 NSs. The fabricated devices (Ag/TiO2 NSs/FTO) exhibit bipolar resistive switching behavior. The optimized resistive switching device shows good endurance (5000 cycles) and memory retention (5000 s) properties. Moreover, fabricated devices showed double-valued charge-flux characteristics, whereas charge transport was caused by the Ohmic and space charge-limited current mechanisms. Additionally, the optimized device can mimic various synaptic characteristics including potentiation-depression, excitatory post-synaptic current (EPSC), and paired-pulse facilitation (PPF).

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Organic dye-sensitized f-MWCNTs-TiO2 composite for optically controlled resistive switching memory applications

Cited by 13 publications

References 42 publications

Molecular template growth of organic heterojunctions to tailor visual neuroplasticity for high performance phototransistors with ultralow energy consumption

Molecular template growth of organic heterojunctions to tailor visual neuroplasticity for high performance phototransistors with ultralow energy consumption

Research and Development of Parameter Extraction Approaches for Memristor Models

Solvothermal synthesis of TiO₂ nanospheres for non-volatile memory and synaptic learning applications

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Organic dye-sensitized f-MWCNTs-TiO2 composite for optically controlled resistive switching memory applications

Cited by 13 publications

References 42 publications

Molecular template growth of organic heterojunctions to tailor visual neuroplasticity for high performance phototransistors with ultralow energy consumption

Molecular template growth of organic heterojunctions to tailor visual neuroplasticity for high performance phototransistors with ultralow energy consumption

Research and Development of Parameter Extraction Approaches for Memristor Models

Solvothermal synthesis of TiO2 nanospheres for non-volatile memory and synaptic learning applications

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Solvothermal synthesis of TiO₂ nanospheres for non-volatile memory and synaptic learning applications