Harnessing the Metal–Insulator Transition of VO2 in Neuromorphic Computing
P Schofield, A Bradicich, RM Gurrola… - Advanced …, 2023 - Wiley Online Library
Future‐generation neuromorphic computing seeks to overcome the limitations of von
Neumann architectures by colocating logic and memory functions, thereby emulating the …
Neumann architectures by colocating logic and memory functions, thereby emulating the …
Quantum conductance in memristive devices: fundamentals, developments, and applications
Quantum effects in novel functional materials and new device concepts represent a potential
breakthrough for the development of new information processing technologies based on …
breakthrough for the development of new information processing technologies based on …
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 …
Reconfigurable neuromorphic computing: Materials, devices, and integration
Neuromorphic computing has been attracting ever‐increasing attention due to superior
energy efficiency, with great promise to promote the next wave of artificial general …
energy efficiency, with great promise to promote the next wave of artificial general …
Emerging memristive artificial neuron and synapse devices for the neuromorphic electronics era
Growth of data eases the way to access the world but requires increasing amounts of energy
to store and process. Neuromorphic electronics has emerged in the last decade, inspired by …
to store and process. Neuromorphic electronics has emerged in the last decade, inspired by …
[HTML][HTML] Resistance transient dynamics in switchable perovskite memristors
Memristor devices have been investigated for their properties of resistive modulation that
can be used in data storage and brain-like computation elements as artificial synapses and …
can be used in data storage and brain-like computation elements as artificial synapses and …
Circuit‐level memory technologies and applications based on 2D materials
Memory technologies and applications implemented fully or partially using emerging 2D
materials have attracted increasing interest in the research community in recent years. Their …
materials have attracted increasing interest in the research community in recent years. Their …
Enhanced electrical and magnetic properties of (Co, Yb) co-doped ZnO memristor for neuromorphic computing
N Elboughdiri, S Iqbal, S Abdullaev, M Aljohani… - RSC …, 2023 - pubs.rsc.org
We investigate the morphological, electrical, magnetic, and resistive switching properties of
(Co, Yb) co-ZnO for neuromorphic computing. By using hydrothermal synthesized …
(Co, Yb) co-ZnO for neuromorphic computing. By using hydrothermal synthesized …
Self‐Curable Synaptic Ferroelectric FET Arrays for Neuromorphic Convolutional Neural Network
With the recently increasing prevalence of deep learning, both academia and industry
exhibit substantial interest in neuromorphic computing, which mimics the functional and …
exhibit substantial interest in neuromorphic computing, which mimics the functional and …
Layer-by-layer thinning of two-dimensional materials
Etching technology–one of the representative modern semiconductor device makers–serves
as a broad descriptor for the process of removing material from the surfaces of various …
as a broad descriptor for the process of removing material from the surfaces of various …