Neuromorphic computing is a brain-inspired computing paradigm that aims to construct
efficient, low-power, and adaptive computing systems by emulating the information …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Neural networks (NNs) have made significant progress in recent years and have been
applied in a broad range of applications, including speech recognition, image classification …

In this article, the mechanism of stability in amorphous indium-gallium-zinc oxide (-IGZO)
thin-film transistors (TFTs) with a natural length of 8 nm was investigated from the …

The fourth industrial revolution indispensably brings explosive data processing and storage;
thus, a new computing paradigm based on artificial intelligence-enabling device structure is …

Synaptic elements based on memory devices play an important role in boosting
neuromorphic system performance. Here, we show two types of fab-friendly HfO 2 material …

The advent of Artificial Intelligence (AI) and big data era brought an unprecedented (and
ever growing) need for fast and energy efficient computation that cannot be obtained with …

The discovery of ferroelectricity in hafnium oxide spurred a growing research eld due to
hafnium oxides compatibility with processes in microelectronics as well as its unique …

The emergence of artificial intelligence (AI) has recently necessitated the processing of big
data. However, a separation between the memory and processing unit leads to significant …

This work highlights the utilization of the floating body effect and charge-trapping/de-
trapping phenomenon of a Silicon-nanowire (Si-nanowire) charge-trapping memory for an …