The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Two dimensional (2D) materials have offered unique electrical, chemical, mechanical and
physical properties over the past decade owing to their ultrathin, flexible, and multilayer …

Conventional artificial intelligence (AI) machine vision technology, based on the von
Neumann architecture, uses separate sensing, computing, and storage units to process …

Photonic in-memory computing exhibits promising potential to address the inherent
limitations of traditional von Neumann architecture. In this study, we demonstrate a tantalum …

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 …

With the rapid application of artificial intelligence in daily life and work, the traditional von
Neumann architecture device faces the limitation of scalability and high energy …

Memristive devices are gaining importance in the semiconductor industry for applications in
information storage, artificial intelligence cryptography and telecommunication. Memristive …

Memory technologies and applications implemented fully or partially using emerging 2D
materials have attracted increasing interest in the research community in recent years. Their …

In this work, a reliable bilayer flexible memristor is demonstrated using TaOx/HfOx Bi‐layer
(BL) to mimic synaptic characteristics by using oxygen concentration engineering in the …

The rapid development of big-data analytics (BDA), internet of things (IoT) and artificial
intelligent Technology (AI) demand outstanding electronic devices and systems with faster …