Emerging MXene‐Based Memristors for In‐Memory, Neuromorphic Computing, and Logic Operation
Confronted by the difficulties of the von Neumann bottleneck and memory wall, traditional
computing systems are gradually inadequate for satisfying the demands of future data …
computing systems are gradually inadequate for satisfying the demands of future data …
From fundamentals to frontiers: a review of memristor mechanisms, modeling and emerging applications
The escalating demand for artificial intelligence (AI), the internet of things (IoTs), and energy-
efficient high-volume data processing has brought the need for innovative solutions to the …
efficient high-volume data processing has brought the need for innovative solutions to the …
A bioinspired artificial injury response system based on a robust polymer memristor to mimic a sense of pain, sign of injury, and healing
Flexible electronic skin with features that include sensing, processing, and responding to
stimuli have transformed human–robot interactions. However, more advanced capabilities …
stimuli have transformed human–robot interactions. However, more advanced capabilities …
Iontronic neuromorphic signaling with conical microfluidic memristors
Experiments have shown that the conductance of conical channels, filled with an aqueous
electrolyte, can strongly depend on the history of the applied voltage. These channels hence …
electrolyte, can strongly depend on the history of the applied voltage. These channels hence …
Ultra-fast switching memristors based on two-dimensional materials
The ability to scale two-dimensional (2D) material thickness down to a single monolayer
presents a promising opportunity to realize high-speed energy-efficient memristors. Here …
presents a promising opportunity to realize high-speed energy-efficient memristors. Here …
Multilevel resistive switching memristor based on silk fibroin/graphene oxide with image reconstruction functionality
S Liu, Y Cheng, F Han, S Fan, Y Zhang - Chemical Engineering Journal, 2023 - Elsevier
Multilevel storage memristors have great potential for use in neuromorphic computing, high-
density storage, and the creation of artificial synapses. In this work, we report a multilevel …
density storage, and the creation of artificial synapses. In this work, we report a multilevel …
Voltage-controlled conversion from CDS to MDS in an azobenzene-based organic memristor for information storage and logic operations
For organic memristors, non-zero-crossing current–voltage (I–V) curves are often observed,
which can be attributed to capacitive effects. If the conversion between the capacitance …
which can be attributed to capacitive effects. If the conversion between the capacitance …
Memristors with biomaterials for biorealistic neuromorphic applications
Electronic devices with biomaterials have paved a way toward “green electronics” to create
a sustainable future. Memristors are drawing growing attention with integrated sensing …
a sustainable future. Memristors are drawing growing attention with integrated sensing …
Combination of organic‐based reservoir computing and spiking neuromorphic systems for a robust and efficient pattern classification
AN Matsukatova, NV Prudnikov… - Advanced Intelligent …, 2023 - Wiley Online Library
Nowadays, neuromorphic systems based on memristors are considered promising
approaches to the hardware realization of artificial intelligence systems with efficient …
approaches to the hardware realization of artificial intelligence systems with efficient …
Functional Materials for Memristor‐Based Reservoir Computing: Dynamics and Applications
G Zhang, J Qin, Y Zhang, G Gong… - Advanced Functional …, 2023 - Wiley Online Library
The booming development of artificial intelligence (AI) requires faster physical processing
units as well as more efficient algorithms. Recently, reservoir computing (RC) has emerged …
units as well as more efficient algorithms. Recently, reservoir computing (RC) has emerged …