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Synapse-mimetic hardware-implemented resistive random-access memory for artificial neural network
Memristors mimic synaptic functions in advanced electronics and image sensors, thereby
enabling brain-inspired neuromorphic computing to overcome the limitations of the von …
enabling brain-inspired neuromorphic computing to overcome the limitations of the von …
Gradual conductance modulation by defect reorganization in amorphous oxide memristors
Amorphous oxides show great prospects in revolutionizing memristors benefiting from their
abundant non-stoichiometric composition. However, an in-depth investigation of the …
abundant non-stoichiometric composition. However, an in-depth investigation of the …
Recent trends in neuromorphic systems for non-von Neumann in materia computing and cognitive functionalities
In the era of artificial intelligence and smart automated systems, the quest for efficient data
processing has driven exploration into neuromorphic systems, aiming to replicate brain …
processing has driven exploration into neuromorphic systems, aiming to replicate brain …
Improving memristors' reliability
G Pacchioni - Nature Reviews Materials, 2022 - nature.com
Improving memristors’ reliability | Nature Reviews Materials Skip to main content Thank you for
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visiting nature.com. You are using a browser version with limited support for CSS. To obtain the …
Unique Coexistence of Two Resistive Switching Modes in a Memristor Device Enables Multifunctional Neuromorphic Computing Properties
AH Jaafar, SKS Al Habsi, T Braben… - … Applied Materials & …, 2024 - ACS Publications
We report on hybrid memristor devices consisting of germanium dioxide nanoparticles
(GeO2 NP) embedded within a poly (methyl methacrylate)(PMMA) thin film. Besides …
(GeO2 NP) embedded within a poly (methyl methacrylate)(PMMA) thin film. Besides …
[HTML][HTML] Roadmap on low-power electronics
This article is written on behalf of many colleagues, collaborators, and researchers in the
field of advanced materials who continue to enable and undertake cutting-edge research in …
field of advanced materials who continue to enable and undertake cutting-edge research in …
Orientation‐Selective Memory Switching in Quasi‐1D NbSe3 Neuromorphic Device for Omnibearing Motion Detection
RY Sun, ZY Hou, Q Chen, BX Zhu, CY Zhu… - Advanced …, 2025 - Wiley Online Library
Intelligent neuromorphic hardware holds considerable promise in addressing the growing
demand for massive real‐time data processing in edge computing. Resistive switching …
demand for massive real‐time data processing in edge computing. Resistive switching …
[HTML][HTML] Epitaxial oxide ionotronics: Interfaces and oxygen vacancies
Oxide ionotronics is an interdisciplinary field in which systems and devices rely on the
migration of ions/ionic defects to alter or drive functionality. In this perspective, we focus on …
migration of ions/ionic defects to alter or drive functionality. In this perspective, we focus on …
Conductive filament distribution in nano-scale electrochemical metallization cells
We report a combined experimental and theoretical study of the spatial distributions and
sizes of conductive filaments in nano-scale electrochemical metallization (ECM) cells. Each …
sizes of conductive filaments in nano-scale electrochemical metallization (ECM) cells. Each …
Memristors with Monolayer Graphene Electrodes Grown Directly on Sapphire Wafers
Z Weng, R Wallis, B Wingfield, P Evans… - ACS Applied …, 2024 - ACS Publications
The development of the memristor has generated significant interest due to its non-volatility,
simple structure, and low power consumption. Memristors based on graphene offer atomic …
simple structure, and low power consumption. Memristors based on graphene offer atomic …