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Implication logic gates that are based on volatile memristors are demonstrated experimentally with the use of relay-based volatile memristor emulators of an original design. The fabricated logic circuit involves two volatile memristors and it is capable of performing four fundamental logic functions (two types of material implication and the negations thereof). Moreover, current-voltage characteristics of individual emulators are recorded and self-sustained oscillations in a resistor-volatile memristor circuit are found. The developed emulator offers a great potential for memristive circuit experiments because of its simplicity, similarity of response with volatile memristors, and low cost. Our findings, which are based on emulators, can easily be reproduced with physical volatile memristors and, thus, open up possibilities for emerging in-memory computing architectures.
Monolithic three-dimensional integration of memory and logic circuits could dramatically improve performance and energy efficiency of computing systems. Some conventional and emerging memories are suitable for vertical integration, including highly s
The recently proposed probabilistic spin logic presents promising solutions to novel computing applications. Multiple cases of implementations, including invertible logic gate, have been studied numerically by simulations. Here we report an experimen
Memtranstor that correlates charge and magnetic flux via nonlinear magnetoelectric effects has a great potential in developing next-generation nonvolatile devices. In addition to multi-level nonvolatile memory, we demonstrate here that nonvolatile lo
Efficient simulation of probabilistic memristors and their networks requires novel modeling approaches. One major departure from the conventional memristor modeling is based on a master equation for the occupation probabilities of network states [arX
An analog computer makes use of continuously changeable quantities of a system, such as its electrical, mechanical, or hydraulic properties, to solve a given problem. While these devices are usually computationally more powerful than their digital co