Electronics & Semiconductors

A computing in-memory system based on stacked 3D resistive memories

Machine learning architectures based on convolutional neural networks (CNNs) have proved to be highly valuable for a wide range of applications, ranging from computer vision to the analysis of images and the processing or ...

Electronics & Semiconductors

Fermi-level tuning to improve the stability of 2D graphene-based FETs

Two-dimensional (2D) semiconductors are a class of semiconducting materials with thicknesses on the atomic scale. These materials have numerous advantageous properties, including good mobilities at thicknesses below 1 nm, ...

page 1 from 9