The emergence of memristor technologies brings new prospects for modern electronics via
enabling novel in-memory computing solutions and energy-efficient and scalable …

Since Hewlett Packard (HP) announced the passive fabrication of their memristors, various
memristive technologies? as a promising emerging technology? have gained ever …

For zero-truncated count data, as they typically arise in capture-recapture modelling, the
nonparametric lower bound estimator of Chao is a frequently used estimator of population …

In this paper, we endeavor to evaluate and model switching noise in resistive random
access memory (RRAM) devices. Although noise is always present in physical systems, the …

Resistive random access memories (RRAMs) can be programmed to discrete resistive
levels on demand via voltage pulses with appropriate amplitude and widths. This tuneability …

Emerging non-volatile memories are becoming increasingly attractive for embedded and
storage-class applications. Among the development challenges of Back-End integrated …

In this work, a copper-doped (5%) zinc oxide (Cu: ZnO) ferroelectric materials-based
memristor model was realized and it was employed to develop principal component analysis …

The continuous maturation of novel nanoelectronic devices exhibiting finely tuneable
resistive switching is rekindling interest in analogue-domain computation. Regardless of …

This work reports the mask design, fabrication and characterization of memristor devices
with diode like electrical behavior at pristine state. It is due to the presence of Schottky …