In-memory computing is a promising alternative to traditional computer designs, as it helps overcome performance limits caused by the separation of memory and processing units. However, many current approaches struggle with unreliable device behavior, which affects data accuracy and efficiency. In this…
Das Ende der Miniaturisierung von Transistoren hat zu einer zunehmenden Erforschung alternativer Computerparadigmen und Speichertechnologien geführt. Resistiv schaltende Bauelemente, gemeinhin als Memristoren bekannt, haben aufgrund ihres Potenzials, nichtflüchtige Speicher- und Logikfunktionen in einem…
This study explores memristor-based true random number generators (TRNGs) through their evolution and optimization, stemming from the concept of memristors first introduced by Leon Chua in 1971 and realized in 2008. We will consider memristor TRNGs coming from various entropy sources for producing high-quality…
Memristors, since their inception, have demonstrated remarkable characteristics, notably the exceptional reconfigurability of their memory. This study delves into electroforming-free YMnO 3 (YMO)-based resistive switches, emphasizing the reconfigurable memory effect in multiferroic YMO thin films with…
This review provides a comprehensive examination of the state-of-the-art research on resistive switching (RS) in BiFeO 3 (BFO)-based memristive devices. By exploring possible fabrication techniques for preparing the functional BFO layers in memristive devices, the constructed lattice systems and corresponding…
With the advent of the Internet of Things, nanoelectronic devices or memristors have been the subject of signifcant interest for use as new hardware security primitives. Among the several available memristors, BiFeO3 (BFO)-based electroforming-free memristors have attracted considerable attention due…
London: Macmillan Publishers Limited, part of Springer Nature, 2022-11-28
The high demand for performance and energy efficiency poses significant challenges for computing systems in recent years. The memristor-based crossbar array architecture is enthusiastically regarded as a potential competitor to traditional solutions due to its low power consumption and fast switching…
Emerging brain-inspired neuromorphic computing paradigms require devices that can emulate the complete functionality of biological synapses upon different neuronal activities in order to process big data flows in an efficient and cognitive manner while being robust against any noisy input. The memristive…