Linearly potentiated synaptic weight modulation at nanoscale in a highly stable two-terminal memristor

Sudheer,; Mandal, Rusa; Hasina, Dilruba; Dutta, Argha; Mollick, Safiul Alam; Mandal, Aparajita; Som, T.

doi:10.1016/j.apsusc.2022.155411

Cited by 6 publications

(3 citation statements)

References 62 publications

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“…Such a linearity in the synaptic weight modulation is highly desirable for artificial neural networks because it improves the data processing accuracy. [67,68,69] In addition, the small variation in the output currents (i.e., potentiation and depression) of T2 for ten successive pulse cycles demonstrates its reliability as well [Figure 7e]. The device current can be modified as well by changing the applied pulse width and amplitude.…”

Section: Resultsmentioning

confidence: 97%

Site‐Specific Emulation of Neuronal Synaptic Behavior in Au Nanoparticle‐Decorated Self‐Organized TiO_x Surface

Hasina,

Saini,

Kumar

et al. 2023

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Neuromorphic computing is a potential approach for imitating massive parallel processing capabilities of a bio‐synapse. To date, memristors have emerged as the most appropriate device for designing artificial synapses for this purpose due to their excellent analog switching capacities with high endurance and retention. However, to build an operational neuromorphic platform capable of processing high‐density information, memristive synapses with nanoscale footprint are important, albeit with device size scaled down, retaining analog plasticity and low power requirement often become a challenge. This paper demonstrates site‐selective self‐assembly of Au nanoparticles on a patterned TiOx layer formed as a result of ion‐induced self‐organization, resulting in site‐specific resistive switching and emulation of bio‐synaptic behavior (e.g., potentiation, depression, spike rate‐dependent and spike timing‐dependent plasticity, paired pulse facilitation, and post tetanic potentiation) at nanoscale. The use of local probe‐based methods enables nanoscale probing on the anisotropic films. With the help of various microscopic and spectroscopic analytical tools, the observed results are attributed to defect migration and self‐assembly of implanted Au atoms on self‐organized TiOx surfaces. By leveraging the site‐selective evolution of gold‐nanostructures, the functionalized TiOx surface holds significant potential in a multitude of fields for developing cutting‐edge neuromorphic computing platforms and Au‐based biosensors with high‐density integration.

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Section: Resultsmentioning

confidence: 97%

Site‐Specific Emulation of Neuronal Synaptic Behavior in Au Nanoparticle‐Decorated Self‐Organized TiO_x Surface

Hasina,

Saini,

Kumar

et al. 2023

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“…Although the above issue (i.e., improving the LTD linearity) is still challenging in two-terminal synaptic devices [ 74 , 75 ], utilizing the pulse modulation methods (e.g., using the incremental pulse scheme [ 76 , 77 ] and/or changing the pulse frequency [ 78 , 79 ]) can be an effective solution to improve both the linearity and the symmetricity for reliable LTP/LTD functions. We therefore tried to find the proper pulse schemes by modulating the magnitude of V pulse .…”

Section: Resultsmentioning

confidence: 99%

High-Performance Memristive Synapse Composed of Ferroelectric ZnVO-Based Schottky Junction

Lee,

Hong,

Sekar

et al. 2024

Nanomaterials

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In pursuit of realizing neuromorphic computing devices, we demonstrated the high-performance synaptic functions on the top-to-bottom Au/ZnVO/Pt two-terminal ferroelectric Schottky junction (FSJ) device architecture. The active layer of ZnVO exhibited the ferroelectric characteristics because of the broken lattice-translational symmetry, arising from the incorporation of smaller V5+ ions into smaller Zn2+ host lattice sites. The fabricated FSJ devices displayed an asymmetric hysteresis behavior attributed to the ferroelectric polarization-dependent Schottky field-emission rate difference in between positive and negative bias voltage regions. Additionally, it was observed that the magnitude of the on-state current could be systematically controlled by changing either the amplitude or the width of the applied voltage pulses. Owing to these voltage pulse-tunable multi-state memory characteristics, the device revealed diverse synaptic functions such as short-term memory, dynamic range-tunable long-term memory, and versatile rules in spike time-dependent synaptic plasticity. For the pattern-recognition simulation, furthermore, more than 95% accuracy was recorded when using the optimized experimental device parameters. These findings suggest the ZnVO-based FSJ device holds significant promise for application in next-generation brain-inspired neuromorphic computing systems.

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“…Another major application of pulse measurements for memristors is to characterize the synaptic weight updating, especially for neuromorphic computing applications. [109][110][111][112][113][114][115][116] Typical plots of synaptic weight updating process are displayed in Fig. 5c.…”

Section: Pulsementioning

confidence: 99%

Enhancing memristor fundamentals through instrumental characterization and understanding reliability issues

et al. 2023

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Linearly potentiated synaptic weight modulation at nanoscale in a highly stable two-terminal memristor

Cited by 6 publications

References 62 publications

Site‐Specific Emulation of Neuronal Synaptic Behavior in Au Nanoparticle‐Decorated Self‐Organized TiO_x Surface

Site‐Specific Emulation of Neuronal Synaptic Behavior in Au Nanoparticle‐Decorated Self‐Organized TiO_x Surface

High-Performance Memristive Synapse Composed of Ferroelectric ZnVO-Based Schottky Junction

Enhancing memristor fundamentals through instrumental characterization and understanding reliability issues

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Linearly potentiated synaptic weight modulation at nanoscale in a highly stable two-terminal memristor

Cited by 6 publications

References 62 publications

Site‐Specific Emulation of Neuronal Synaptic Behavior in Au Nanoparticle‐Decorated Self‐Organized TiOx Surface

Site‐Specific Emulation of Neuronal Synaptic Behavior in Au Nanoparticle‐Decorated Self‐Organized TiOx Surface

High-Performance Memristive Synapse Composed of Ferroelectric ZnVO-Based Schottky Junction

Enhancing memristor fundamentals through instrumental characterization and understanding reliability issues

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Site‐Specific Emulation of Neuronal Synaptic Behavior in Au Nanoparticle‐Decorated Self‐Organized TiO_x Surface

Site‐Specific Emulation of Neuronal Synaptic Behavior in Au Nanoparticle‐Decorated Self‐Organized TiO_x Surface