Yuchao Yang

TL;DR: An increasing number of computing tasks today are related to handling large amounts of data, e.g. image processing as an example, and alternative approaches such as bio-inspired neuromorphic circuits, with distributed computing and localized storage in networks, become attractive options.

TL;DR: The findings of this study reveal the complex dynamics involved during resistive switching and will help guide continued optimization in the design and operation of this important emerging device class.

TL;DR: In this article, the relationship between the electromechanical response of doped ZnO and the dopant ionic size, the chemical state and ionic radius of Fe in Fe-ZnO films were modulated through doping with various Fe concentrations and postannealing.

TL;DR: The aim of this Roadmap is to present a snapshot of emerging hardware technologies that are potentially beneficial for machine learning, providing the Nanotechnology readers with a perspective of challenges and opportunities in this burgeoning field.

TL;DR: In this article, the bipolar resistive switching (RS) behavior of ZnO dielectric films was investigated for nonvolatile resistive memory applications, and it was found that the voltage sweep cycles without efficient heat dissipation accelerate the hard dielectrics breakdown of the device, reflecting the impact of accumulative Joule heating.