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Neuromorphic properties of flexible carbon nanotube/polydimethylsiloxane nanocomposites
Neuromorphic materials are promising for fabricating artificial synapses for flexible
electronics, but they are usually expensive and lack a good combination of electronic and …
electronics, but they are usually expensive and lack a good combination of electronic and …
Research progress of artificial neural systems based on memristors
The artificial nervous system includes electronic devices designed to simulate the functions
of the biological nervous system, thereby endowing them with the ability to perceive …
of the biological nervous system, thereby endowing them with the ability to perceive …
Room‐Temperature Wide‐Gap Inorganic Materials with Excellent Plasticity
In general, inorganic non‐metallic materials exhibit brittleness, and achieving plasticity in
wide‐gap semiconductors or dielectrics poses an even greater challenge. Historically, silver …
wide‐gap semiconductors or dielectrics poses an even greater challenge. Historically, silver …
A flexible corn starch‐based biomaterial device integrated with capacitive‐coupled memristive memory, mechanical stress sensing, synapse, and logic operation …
Biomaterials‐based electronic devices (BEDs) have remarkable advantages such as
biocompatibility and biodegradability, which are expected to have promising prospects in …
biocompatibility and biodegradability, which are expected to have promising prospects in …
Full-Inorganic Flexible Ag2S Memristor with Interface Resistance–Switching for Energy-Efficient Computing
Flexible memristor-based neural network hardware is capable of implementing parallel
computation within the memory units, thus holding great promise for fast and energy-efficient …
computation within the memory units, thus holding great promise for fast and energy-efficient …
Promising materials and synthesis methods for resistive switching memory devices: a status review
In recent years, the emergence of memory devices, especially resistive random-access
memories (RRAM), has been a front-runner in many technological applications. This is due …
memories (RRAM), has been a front-runner in many technological applications. This is due …
Self‐assembled vapor-transport-deposited SnS nanoflake-based memory devices with synaptic learning properties
The most salient features of resistive switching (RS) devices are low energy consumption,
fast switching speed, and high-density integration, which render them promising candidates …
fast switching speed, and high-density integration, which render them promising candidates …
Flexible Zn‐TCPP Nanosheet‐Based Memristor for Ultralow‐Power Biomimetic Sensing System and High‐Precision Gesture Recognition
Y Wang, J Su, G Ouyang, S Geng… - Advanced Functional …, 2024 - Wiley Online Library
The flexible biomimetic sensory system inspired by biology exhibits learning, memory, and
cognitive behavior toward external stimuli, providing a promising direction for the future …
cognitive behavior toward external stimuli, providing a promising direction for the future …
Recent advances in flexible memristors for advanced computing and sensing
Conventional computing systems based on von Neumann architecture face challenges such
as high power consumption and limited data processing capability. Improving device …
as high power consumption and limited data processing capability. Improving device …
AgBiS 2 quantum dot based multilevel resistive switching for low power electronics
In the ever-expanding digital landscape, efficient solutions are needed that offer mass-
producible, high-density, and low-power data storage capabilities to fulfill the growing …
producible, high-density, and low-power data storage capabilities to fulfill the growing …