Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

Designing next‐generation molecular devices typically necessitates plentiful oxygen‐
bearing sites to facilitate multiple‐electron transfers. However, the theoretical limits of …

Real‐time intrusion detection system based on the von Neumann architecture struggle to
balance low power consumption and high computing speed. In this work, a strategy for …

Recently, neuromorphic computing has been proposed to overcome the drawbacks of the
current von Neumann computing architecture. Especially, spiking neural network (SNN) has …

Abstract Three-terminal (3T) structured electrochemical random access memory (ECRAM)
has been proposed as a synaptic device based on improved synaptic characteristics …

This work shows the feasibility of a vertically stacked nanosheet field effect transistor
(NSFET) for charge-trapping memory and artificial synaptic devices. The artificial synapse's …

This study focuses on InGaZnO-based synaptic devices fabricated using reactive
radiofrequency sputtering deposition with highly uniform and reliable multilevel memory …

As emerging technologies like artificial intelligence (AI) and big data continue to evolve, the
demand for high-performance computing (HPC) has been increasing, driving the …

In the field of neuroscience, significant progress has been made regarding how the brain
processes information. Unlike computer processors, the brain comprises neurons and …

Recent years have witnessed the significant progress of nature artificial neuromorphic
systems with advances achieved in interdisciplinary fields, like neurosciences, electronics …