Articles with "conductance modulation" as a keyword



Optimization Method for Conductance Modulation in Ferroelectric Transistor for Neuromorphic Computing

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Published in 2024 at "Advanced Electronic Materials"

DOI: 10.1002/aelm.202300698

Abstract: The learning accuracy of neuromorphic computing that mimics the biological brain, is affected by the conductance‐modulation characteristics of an artificial synapse. In ferroelectric‐based devices, these characteristics are implemented using a distribution of polarization values. Therefore,… read more here.

Keywords: layer; conductance modulation; voltage; conductance ... See more keywords

Hybrid WS2-Based Memristor With Tunable Conductance Modulation for Neuromorphic and Nociceptive Learning.

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Published in 2025 at "Small"

DOI: 10.1002/smll.202508508

Abstract: Here, a high-performance memristive device that integrates a layered WS2 switching medium with a TiOx-rich interface and a BaTiO3 (BTO) dielectric layer is reported. This hybrid structure exploits the defect tunability of WS2 to regulate… read more here.

Keywords: memristor; device; hybrid ws2; conductance modulation ... See more keywords

Surface-Dominated HfO2 Nanorod-Based Memristor Exhibiting Highly Linear and Symmetrical Conductance Modulation for High-Precision Neuromorphic Computing.

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Published in 2022 at "ACS applied materials & interfaces"

DOI: 10.1021/acsami.2c12247

Abstract: The switching characteristics and performance of oxide-based memristors are predominately determined by oxygen- or oxygen-vacancy-mediated redox reactions and the consequent formation of conducting filaments (CFs). Devices using oxide thin films as the switching layer usually… read more here.

Keywords: conductance; highly linear; conductance modulation; hfo2 nanorod ... See more keywords
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Exploiting analogue OxRAM conductance modulation for contrast enhancement application

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Published in 2020 at "Electronics Letters"

DOI: 10.1049/el.2020.0106

Abstract: The authors present a unique application of analogue oxide-based resistive memory (OxRAM) device for sensor-level information storage and computation. They show that quality of low-contrast images in low-light can be improved by carefully exploiting OxRAM… read more here.

Keywords: application; conductance modulation; oxram conductance; contrast ... See more keywords

Two-terminal Li+-based memristors with synchronous conductance modulation of Li-source/Li-reservoir layer for high-accurate image recognition

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Published in 2025 at "Applied Physics Letters"

DOI: 10.1063/5.0272158

Abstract: Memristors, characterized by in-memory computing and low-power consumption, are considered an ideal paradigm for building artificial neural networks and overcoming the von Neumann bottleneck. The two-terminal Li+-based memristor features simple structure and controllable weight update.… read more here.

Keywords: layer; terminal based; two terminal; recognition ... See more keywords

Ferroelectricity induced double-direction conductance modulation in Hf x Zr1−x O2 capacitors

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Published in 2022 at "Nanotechnology"

DOI: 10.1088/1361-6528/ac8e0b

Abstract: The artificial synapses are basic units in the hardware implementation of neuromorphic computing, whose performances should be gradually modulated under external stimuli. The underlying mechanism of the increasing and decreasing device conductance is still unclear… read more here.

Keywords: conductance; conductance modulation; tin; direction conductance ... See more keywords

Bidirectional Analog Conductance Modulation for RRAM-Based Neural Networks

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Published in 2020 at "IEEE Transactions on Electron Devices"

DOI: 10.1109/ted.2020.3025849

Abstract: Increasing computation demand of machine learning (ML) applications (recommender system, image classification, speech recognition, and so on) calls for the development of specialized hardware for ML and neuromorphic computing. New memories, such as resistive random… read more here.

Keywords: neural networks; rram; analog conductance; bidirectional analog ... See more keywords