Sign Up to like & get
recommendations!
0
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
Sign Up to like & get
recommendations!
0
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
Sign Up to like & get
recommendations!
0
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
Sign Up to like & get
recommendations!
0
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
Sign Up to like & get
recommendations!
0
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
Sign Up to like & get
recommendations!
1
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
Sign Up to like & get
recommendations!
0
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