Recent advances and future prospects for memristive materials, devices, and systems
Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …
CMOS technology, which is facing fundamental limitations in its development. Since oxide …
Ferroelectric transistors for memory and neuromorphic device applications
Ferroelectric materials have been intensively investigated for high‐performance nonvolatile
memory devices in the past decades, owing to their nonvolatile polarization characteristics …
memory devices in the past decades, owing to their nonvolatile polarization characteristics …
Open-loop analog programmable electrochemical memory array
P Chen, F Liu, P Lin, P Li, Y Xiao, B Zhang… - Nature …, 2023 - nature.com
Emerging memories have been developed as new physical infrastructures for hosting neural
networks owing to their low-power analog computing characteristics. However, accurately …
networks owing to their low-power analog computing characteristics. However, accurately …
CMOS-compatible electrochemical synaptic transistor arrays for deep learning accelerators
In-memory computing architectures based on memristive crossbar arrays could offer higher
computing efficiency than traditional hardware in deep learning applications. However, the …
computing efficiency than traditional hardware in deep learning applications. However, the …
CMOS-compatible compute-in-memory accelerators based on integrated ferroelectric synaptic arrays for convolution neural networks
Convolutional neural networks (CNNs) have gained much attention because they can
provide superior complex image recognition through convolution operations. Convolution …
provide superior complex image recognition through convolution operations. Convolution …
Highly-scaled and fully-integrated 3-dimensional ferroelectric transistor array for hardware implementation of neural networks
Hardware-based neural networks (NNs) can provide a significant breakthrough in artificial
intelligence applications due to their ability to extract features from unstructured data and …
intelligence applications due to their ability to extract features from unstructured data and …
Ferroelectric field‐effect‐transistor integrated with ferroelectrics heterostructure
To address the demands of emerging data‐centric computing applications, ferroelectric field‐
effect transistors (Fe‐FETs) are considered the forefront of semiconductor electronics owing …
effect transistors (Fe‐FETs) are considered the forefront of semiconductor electronics owing …
Exploring low power and ultrafast memristor on p-type van der Waals SnS
Memristor devices that exhibit high integration density, fast speed, and low power
consumption are candidates for neuromorphic devices. Here, we demonstrate a filament …
consumption are candidates for neuromorphic devices. Here, we demonstrate a filament …
Light-enhanced molecular polarity enabling multispectral color-cognitive memristor for neuromorphic visual system
An optoelectronic synapse having a multispectral color-discriminating ability is an essential
prerequisite to emulate the human retina for realizing a neuromorphic visual system. Several …
prerequisite to emulate the human retina for realizing a neuromorphic visual system. Several …
A Robust Memristor Based on Epitaxial Vertically Aligned Nanostructured BaTiO3−CeO2 Films on Silicon
X Yan, H He, G Liu, Z Zhao, Y Pei, P Liu… - Advanced …, 2022 - Wiley Online Library
With the exploration of ferroelectric materials, researchers have a strong desire to explore
the next generation of non‐volatile ferroelectric memory with silicon‐based epitaxy, high …
the next generation of non‐volatile ferroelectric memory with silicon‐based epitaxy, high …